At Wolt, we’re building the most efficient, reliable, and scalable delivery experience across our markets. Courier supply is one of the core marketplace levers—if it works, everything works; if it doesn’t, service degrades, costs spike, and growth slows.

As Head of Courier Supply for the South Region, you will own courier supply end-to-end in Greece. You will report into the South Head of Operations. This role combines strategy, execution, and team leadership, with a strong focus on building scalable, increasingly automated systems that move us from reactive operations to predictive, AI-driven decision-making.

What you’ll be doing

This role is about turning demand into reliable, cost-efficient delivery capacity at scale. You will own forecasting, acquisition, incentives, and real-time supply-demand balancing across multiple markets, while building systems that scale without linear headcount growth.

Day-to-day in this role you’ll:

• Own courier supply KPIs across your cities, including availability, utilization, cost efficiency, and service reliability
• Lead and develop a team of ~5 people, driving performance and building a high-performing organization
• Define and execute supply strategies across different time horizons (hourly, daily, seasonal)
• Drive forecasting, incentive design, and supply planning using increasingly AI-driven tools and models
• Optimize incentive structures (who, where, when, how much) to ensure efficient growth and controlled costs
• Identify and implement scalable solutions to improve courier acquisition, retention, and engagement
• Partner with Product, Analytics, Finance, and Global Ops to improve tooling, automation, and decision-making frameworks
• Work closely with local teams and external partners (fleet partners, courier partners, authorities) to ensure strong market execution
• Detect operational anomalies early and act quickly to prevent service degradation

Our humble expectations 

• Bachelor’s degree in Business, Economics, Engineering, or a related field; advanced degree is a plus
• 8+ years of experience in strategy, operations, consulting, or leadership roles in fast-paced environments, with 3+ years in leadership roles (owning teams, not just projects)
• Strong marketplace understanding (supply–demand mechanics) and operational rigor across multiple time horizons
• Proven analytical and problem-solving skills, with solid financial acumen (forecasting, ROI, cost control)
• Experience leading projects and driving execution in complex, cross-functional environments
• Demonstrated ability to hire, coach, and develop high-performing teams
• Strong communication skills with the ability to influence senior stakeholders
• Fluency in both English and Greek is a requirement
• You're able to work from our Athens office four times a week with one optional work from home day 

Nice to have:

• Experience in marketplaces, on-demand platforms, or e-commerce
• Exposure to AI/ML applications in operations or decision-making

What we offer

• Ownership of one of the most critical levers of the business on one of Wolt’s biggest markets (Greece)
• A role with high autonomy and direct impact on growth, cost, and service quality
• The opportunity to define how AI is embedded into core operational decision-making (forecasting, incentives, automation)
• Exposure to multiple functions, creating strong career growth opportunities
• A fast-paced, execution-driven environment where results are visible and measurable
• Competitive compensation package

Next steps

After applying, the process typically includes an initial screening, followed by interviews focused on your operational thinking, leadership, and problem-solving approach. You can expect a case exercise related to marketplace dynamics and supply optimization, along with discussions with regional and global stakeholders, including the South Head of Operations.

If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply and get the conversation going. Please submit both your resume and cover letter in English! 

The Global Marketing team at Wolt is looking for a senior growth marketer to own and scale our owned and paid channels across the North region. This is a high-impact role with real autonomy: you’ll shape the product marketing roadmap, steward a multi-million-dollar media budget, and directly influence Courier Acquisition at a global scale.

If you’re motivated by ownership, complex growth problems, and the opportunity to turn data into decisive action, this role is built for you.

What you’ll do

In this role, you’ll be accountable for performance end to end—from strategy to execution:

• Own weekly media budget optimization in close partnership with Data Science / ML, Analytics, Finance, and Supply & Demand teams

• Lead media buying strategy across a large, always-on paid channel portfolio while launching high-impact, time-bound campaigns as market conditions shift

• Partner with agencies and in-house teams to hit aggressive growth targets efficiently, balancing scale, efficiency, and experimentation

• Design and run rigorous testing frameworks across the funnel, including creative and copy A/B tests, incrementality testing, audience segmentation, placements, and retargeting strategies

• Build forecasts and budget recommendations, then quickly adapt tactics based on performance signals and learnings

• Translate complex performance data into clear recommendations for senior stakeholders and cross-functional partners

What we’re looking for

• Deep experience balancing brand and performance marketing objectives at scale

• Strong understanding of both online and offline media buying, ideally within job search, recruiting, or similar high-volume marketplaces

• Demonstrated ability to synthesize data, make confident data-driven decisions, and apply the “art” of media strategy where measurement has limits

• Proven track record of building and executing structured channel- and tactic-level testing programs

• Clear, concise communicator—able to distill complexity and influence stakeholders at all levels

• Thrives in fast-paced environments, with strong prioritization skills and a bias toward action and ownership

Nice to have

• Experience working both in-house and with external agencies

• Hands-on experience managing performance channels in Skai

Let's start with the role

As a Principal Data Scientist, you will play a critical role in leveraging data and AI to make decisions in real time to deliver the right reward and message to the right customer at the right time and medium. and create a competitive advantage for the organization The ideal candidate will be a tenured Data Scientist, ML or AI engineer that has a proven track record of designing and implementing cutting-edge, real-time and AI-empowered applications along with the corresponding ML/DL algorithms.
As a Principal Data Scientist you will:
Architecture: Design scalable, reliable and high-performance AI applications along with their corresponding ML/DS algorithms.
Innovation: Set the tech direction in the AI tribe in order to deliver state-of-the-art AI models in production.
Mentorship: Inspire and mentor fellow data scientists, fostering technical and soft skill growth.
Pioneering: Stay ahead of the AI curve, applying emerging technologies to enhance our capabilities, disrupt the industry and showcase what’s truly possible.
Strategic Planning & Prioritization: Define the company-wide AI technical and product roadmap, in-line with the business product roadmap. Resist the AI hype and enable impact-driven prioritization with quick and impactful PoCs that demonstrate the value.
Autonomy & end-to-end Ownership: From ideation, to translation of business needs to technical requirements, all the way to operationalization and maintenance, demonstrate autonomy on high-complexity and ambiguous projects and ownership of the outcome.

What you’ll bring

Must have:
8+ years of hands-on experience leveraging large-scale data to build ML/DS models with Python
PhD-level expertise in one or more of the following domains: Recommendation Systems,,Time-series, Reinforcement Learning, Graph Learning
A deep understanding of the ML development lifecycle and how to optimize the trade-offs in each step. 
Proven track record of designing, implementing, optimizing and scaling performant AI-empowered applications. Solid experience with MLOps and quality evaluation practices in order to operationalize and maintain those applications in production.
Excellent communication and collaboration skills targeting a diverse audience from stakeholders to cross-functional technical teams, in order to provide technical guidance and insight.

Nice to have:
Expertise in constraint optimization, uplift modeling. causal inference & personalization 
Exposure to a variety of domains especially CRM and a diverse family of models. 
Familiarity with a wide range of big data technologies, such as Apache Spark, Delta Lake, Apache Kafka, Apache Flink and NoSQL databases.

We're looking for an AI expert who wants to be at the forefront of innovation in the iGaming industry. Join us in shaping the future of iGaming with breathtaking experiences that thrill and delight players around the world.

Kaizen Gaming Perks

• 🕑 Hybrid way of working & remote options
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive pay and bonus scheme
• 👩‍⚕️ Private health insurance for you and your family
• 💰 Monthly meal allowance 
• ⭐Developmental 360° feedback framework
• 📚 Unlimited access to Udemy & continuous training
• #li-ap1

Join Us as a Graphic Designer with a Focus on Data Visualization!

At INFUSE Academy, we turn complex ideas into visuals that make people stop and think. We are looking for a Graphic Designer who leads with clarity, communicates through imagery, and can distill a dense concept into something a learner understands at a glance.

If you can explain the impact of climate change in one image, you are the kind of thinker we want.

What you will bring:

• Proficiency in Figma, Illustrator, and Photoshop
• Solid foundation in composition, typography, and color theory
• Experience with data visualization: charts, infographics, diagrams that inform rather than decorate
• A visual storytelling instinct: you find the narrative in the numbers
• Genuine enthusiasm for AI tools -- you follow what is happening, you experiment, and you actively look for ways to co-create with AI rather than just use it
• Attention to detail and the self-organization to manage multiple projects

What you will do:

• Translate instructional content into visual concepts and storyboards
• Design static graphics, infographics, and course assets that carry meaning on their own
• Collaborate with instructional designers to find the best visual angle for every learning objective
• Co-create with AI tools as a real part of your design process -- bringing new ideas, accelerating output, and pushing what is possible

What you’ll love about working with us:

• A fun, diverse team of professionals from every corner of the globe
• A never-ending learning journey (because who wants to stop growing?)
• Career growth opportunities with regular reviews, your success is our success!
• Timely, market-range compensation (we make sure your wallet’s happy, too)
• Paid time off for U.S. public holidays, because rest is as important as work
• Summer Fridays with shorter hours, because everyone deserves a little sunshine
• Access to top-tier tools like Adobe and Figma Pro, so you can create like a pro

If you recognize yourself in this and are up to the challenge, we’d be happy to hear from you!

We are an Equal Opportunity Employer. We make hiring decisions based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, or any other characteristic protected under applicable law. We welcome applicants from all backgrounds and believe that diversity of experience, culture, and perspective makes us stronger.

Let's start with the role

As a Senior Product Owner of one of our AI product teams, you will drive the vision and strategy for new and existing products that the team is responsible for. You will support the development of AI-powered products by applying product and agile best practices to maximize the business value of the team's deliverables. This is a unique role that combines product ownership skills with knowledge of the machine learning / AI product lifecycle.

 As a Senior AI Product Owner you will:

• Contribute to the product vision and strategy;
• Collaborate with stakeholders to obtain domain expertise and gather business and customer requirements;
• Create and maintain the ΑΙ roadmap, ensuring impact-driven prioritization, problem validation and alignment with internal stakeholders;
• Facilitate and lead the discovery process;
• Define and track measures of success in conjunction with product analysts;
• Provide vision and direction to the Agile development team;
• Create PRDs, epics, experiments and associated documentation;
• Manage the product backlog and team priorities;
• Conduct market research and competitive analysis to identify trends and opportunities; 
• Support the team and organization by applying both product and agile best practices;
• Communicate product updates.

What you’ll bring

• Working experience in a product role within technology, ideally in a B2C online business;
• Understanding of the machine learning/AI product lifecycle;
• Solid experience with agile methodologies;
• Proven ability to define a set of requirements that pinpoint customer/business challenges and identify improvements to address them;
• Ability to communicate clearly and concisely across technology and business teams;
• Previous experience with product lean startup or design thinking will be considered a plus;
• Familiarity with online sports betting and casino products is an asset;
• A good understanding of technology, programming languages and software architecture is considered a plus.

Our ideal future co-worker has a strong sense of ownership, takes pride in developing our products and cannot rest until every customer has a great user experience.

Kaizen Gaming Perks

• 🕑 Hybrid way of working
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive pay and bonus scheme
• 👩‍⚕️ Private health insurance for you and your family
• 💰 Monthly meal allowance 
• ⭐Developmental 360° feedback framework
• 📚 Unlimited access to Udemy & continuous training
• #LI-Hybrid
• #LI-AP

Let's start with the role

As the team lead of an AI product team you will lead and guide the team's efforts in delivering high impact AI products. You will be at the core of AI developments, analyzing data, building machine learning models, collaborating with the tech team to create successful AI products. 

The ideal candidate will combine a deep understanding of machine learning algorithms and proven extensive experience in building  ML/AI powered applications in production along with previous experience of leading and managing AI teams.

As a Data Science Team Lead, you will:

• Manage a team of 5 to 7 skilled data scientists and machine learning engineers. 
• Translate product requirements to machine learning problems and identifying areas where AI can have the most business impact;
• Analyze data to identify significant patterns and generate insights;
• Perform exploratory data analysis (EDA) and feature engineering to support the modeling process;
• Implement best practices on model selection, parameter tuning and optimization.
• Run comparative experiments for model training;
• Analyze ML metrics to evaluate different potential solutions;
• Manage the full lifecycle of AI features, from data collection to model design and to implementation and optimization in production environments;
• Mentor and share knowledge with more junior members and guide the team through complex projects. 

What you’ll bring

• Previous experience as a people manager;
• Expert knowledge of machine learning algorithm and their theoretical foundations;
• Extensive hands-on experience in delivering machine learning models to production;
• Experience in developing MLOps solutions;
• Knowledge of Deep learning;
• Proficiency in Python’s machine learning ecosystem and solid software engineering skills (OOP);
• Strong skills in teamwork, communication, and analytical thinking;
• Fluency in English, both oral and written.

• Experience with Big Data tools  (Spark/PySpark) and cloud environment, ideally Azure / Databricks;
• Previous experience in pricing optimisation;
• Previous experience in forecasting;
• Previous experience in the betting industry.

Kaizen Gaming Perks

• 🕑 Hybrid way of working;
• 🏃 A buddy will support you with your onboarding;
• 💸 Competitive pay & bonus scheme;
• ⭐Developmental 360° feedback framework;
• 💰 Monthly meal allowance;
• 👩‍⚕️ Private health insurance for you and your family;
• 📚 Unlimited access to Udemy & continuous training;
• 👨‍👩‍👧‍👦 Family Support.
• #LI-HYBRID
• #LI-AP

Kaizen Gaming is seeking a Senior AI Product Analyst to join our team of AI experts. We leverage AI to accelerate growth and enhance the customer journey, creating personalized experiences and "wow" moments that set new standards for engagement and satisfaction. Become a Driving Force in AI Product Success.

Become a driving force in AI product success

As a Senior AI Product Analyst, you will play a pivotal role in shaping the future of our AI products. You will collaborate closely with product managers, data scientists, and senior stakeholders to define and establish success metrics, optimize product performance, and translate business goals into actionable data insights. Your advanced analytics skills together with your passion and curiosity for data will be key into the evolution of our AI products. 

As a Senior AI Product Analyst you will:

• Drive AI product success: You will play a pivotal role in decision-making by providing data-driven recommendations and insights to improve and optimize product performance and define success metrics aligned with business goals
• Collaborate and Communicate: Work closely with product managers, data scientists, and stakeholders to ensure alignment on strategies and effectively communicate data stories and product insights
• Analyze and Test: Conduct in-depth analysis, impact opportunity assessments and hands on help in designing and executing A/B tests to evaluate product changes and AI models & features

What you’ll bring:

• Bachelor's degree in a relevant field (Computer Science, Data Science, Statistics, Mathematics)
• Proven experience in product data analysis with a focus of uncovering valuable and actionable insights to improve the customer experience
• A strong passion for data, with curiosity and a habit of asking “why”; self-driven, strategic, proactive, and comfortable working with ambiguity in a collaborative environment
•  Excellent communication, presentation and story telling skills
• Strong problem solving skills with influence-decision mentality and data-driven insight direction
• Strong proficiency in statistical analysis, and programming languages such as SQL, Python
• Hands-on experience with at least one data visualization tool (e.g., Tableau, Power BI, Looker, Databricks)
  
  

Nice to have:

• Prior κnowledge of machine learning algorithms and data science concepts
• Experience with A/B testing methodologies and experimental design, particularly in recommendation systems
• Experience working in a dynamic, agile and fast-paced environment
• Exposure to the gaming industry is strong plus

Kaizen Gaming Perks

• 🕑 Hybrid way of working;
• 🏃 A buddy will support you with your onboarding;
• 💸 Competitive pay and bonus scheme;
• 👩‍⚕️ Private health insurance for you and your family;
• 💰 Monthly meal allowance;
• ⭐Developmental 360° feedback framework;
• 📚 Unlimited access to Udemy & continuous training;
• 👨‍👩‍👧‍👦 Family Support.
• #LI-Hybrid
• #LI-AP

Let's start with the role

As a Senior Product Manager in the AI department, you will define and drive the vision and long-term strategy for Artificial Intelligence at Kaizen. You will lead a team of diverse AI product professionals to support development of AI-empowered products by using product and agile best practices in order to maximize the business value of the team's deliverables. This is a unique role that combines product leadership skills and knowledge of the machine learning / AI product lifecycle.

As a Senior AI Product Manager you will

• Define the AI product vision and strategy in alignment with Kaizen’s vision and strategy;
• Define success metrics (KPIs) and track the performance of AI products;
• Collaborate with stakeholders to obtain domain expertise, gathering business and customer requirements;
• Maintain or oversee the ΑΙ roadmap, ensuring impact-driven prioritization, data driven decision making, problem validation and alignment with internal stakeholders;
• Contribute or lead discovery process;
• Provide input towards measures of success for initiatives in conjunction with product owner & analyst;
• Work closely with the AI engineering management team in order to execute the strategy and deliver high-quality AI products and solutions;
• Conduct market research and competitive analysis to identify trends and opportunities across products and the wider Gaming industry;
• Communicate product updates to stakeholders at all levels of the organization;
• Mentor a team of product owners and analysts to support their growth. Manage them effectively to ensure successful completion of their goals;

• Ideate net new ideas for value across Kaizen products; 
• Support the team and organization by using both product and agile best practices;
• Assist with go to market strategy, design thinking workshops and other product practices, as and when required. 

What you’ll bring

Must have:

• 5+ years of experience in a product management role, ideally in a B2C online business.
• Proven track record of successfully launching and managing digital products from concept to launch. 
• Strong people management skills with experience leading cross-functional teams of product owners, product managers and product analysts.
• Strong analytical and problem-solving skills, with the ability to use data to drive decision-making. 
• Excellent communication and presentation skills, with the ability to communicate the AI product vision and strategy clearly and effectively to a broad audience of internal and external stakeholders.
• Experience working in a dynamic, fast-paced environment and the ability to adapt quickly to changing priorities.

Nice to have:

• A deep understanding of traditional AI and genAI technologies.
• Experience in building data-intensive and AI-empowered digital products.
• Experience with A/B testing methodologies and experimental design.
• Knowledge of regulatory requirements and compliance standards related to AI and data (e.g. AI Act, GDPR).

We're looking for someone who is passionate about AI and wants to be at the forefront of innovation in the igaming industry. Join us in shaping the future of gaming with “wow” experiences that thrill and delight players around the world. 

Kaizen Gaming Perks

• 🕑 Hybrid way of working
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive pay and bonus scheme
• 💰 Monthly meal allowance 
• ⭐Developmental 360° feedback framework
• 📚 Unlimited access to Udemy & continuous training
• 👨‍👩‍👧‍👦 Family Support
• #LI-Hybrid
• #LI-ap1

Let's start with the role

As a Senior Data Scientist, you will be at the forefront of our AI developments,  analyzing data, building machine learning models to support our AI products and working along with the rest of the tech team to create successful AI products. The ideal candidate will have a deep understanding of machine learning algorithms and proven extensive experience in building  ML/AI powered applications in production.

As a Senior Data Scientist you will:

• Translate product requirements to machine learning problems and  identifying areas where AI can have the most business impact;
• Analyze data to identify significant patterns and generate actionable insights;
• Perform exploratory data analysis EDA and feature engineering to support the modeling process;
• Apply best practices on model selection, parameter tuning etc.;
• Run comparative experiments for model training;
• Analyze ML metrics to evaluate different potential solutions;
• Manage the full lifecycle of AI features, from data collection to model design and to implementation and optimization in production environments;
• Mentor and guide junior members, sharing knowledge and leading complex projects. 

What you’ll bring:

Must have:

• Expert knowledge of machine learning algorithm and respective theory;
• Extensive hands-on experience in delivering machine learning models to production;
• Experience in developing MLOps solutions;
• Knowledge of the Python machine learning ecosystem and solid software background in OOP;
• Knowledge of Deep learning;
• Strong skills in teamwork, communication, and analytical thinking;
• Fluency in English, both oral and written.

Nice to have:

• Experience with Big Data tools  (Spark/PySpark) and cloud environment, ideally Azure / Databricks;
• Experience in recommendation systems;
• Experience in GenAI application development;
• Relevant industry experience i.e. Fraud detection, CRM, Sportsbook etc.

Kaizen Gaming Perks

• 🕑 Hybrid way of working;
• 🏃 A buddy will support you with your onboarding;
• 💸 Competitive pay & bonus scheme;
• ⭐Developmental 360° feedback framework;
• 💰 Monthly meal allowance;
• 👩‍⚕️ Private health insurance for you and your family;
• 📚 Unlimited access to Udemy & continuous training;
• 👨‍👩‍👧‍👦 Family Support.
• #LI-Hybrid
• #LI-gs1

Let's start with the role

As a Senior Data Scientist, you will be at the forefront of our AI developments,  analyzing data, building machine learning models to support our AI products and working along with the rest of the tech team to create successful AI products. The ideal candidate will have a deep understanding of machine learning algorithms and proven extensive experience in building  ML/AI powered applications in production.

As a Senior Data Scientist you will:

• Translate product requirements to machine learning problems and  identifying areas where AI can have the most business impact;
• Analyze data to identify significant patterns and generate actionable insights;
• Perform exploratory data analysis EDA and feature engineering to support the modeling process;
• Apply best practices on model selection, parameter tuning etc.;
• Run comparative experiments for model training;
• Analyze ML metrics to evaluate different potential solutions;
• Manage the full lifecycle of AI features, from data collection to model design and to implementation and optimization in production environments;
• Mentor and guide junior members, sharing knowledge and leading complex projects. 

What you’ll bring:

Must have:

• Expert knowledge of machine learning algorithm and respective theory;
• Extensive hands-on experience in delivering machine learning models to production;
• Experience in developing MLOps solutions;
• Knowledge of the Python machine learning ecosystem and solid software background in OOP;
• Knowledge of Deep learning;
• Strong skills in teamwork, communication, and analytical thinking;
• Fluency in English, both oral and written.

Nice to have:

• Experience with Big Data tools  (Spark/PySpark) and cloud environment, ideally Azure / Databricks;
• Experience in recommendation systems;
• Experience in GenAI application development;
• Relevant industry experience i.e. Fraud detection, CRM, Sportsbook etc.

Kaizen Gaming Perks

• 🕑 Hybrid way of working;
• 🏃 A buddy will support you with your onboarding;
• 💸 Competitive pay & bonus scheme;
• ⭐Developmental 360° feedback framework;
• 💰 Monthly meal allowance;
• 👩‍⚕️ Private health insurance for you and your family;
• 📚 Unlimited access to Udemy & continuous training;
• 👨‍👩‍👧‍👦 Family Support.
• #LI-Hybrid
• #LI-gs1

Let's start with the role

At Kaizen, we strive to harness the power of modern AI algorithms to continuously improve our product and business. Kaizen’s AI department consists of product, platform and research teams and lies at the core of that mission. We develop AI products for various applications, ranging from detection of fraudulent activity to personalized gaming recommendations and from AI-powered co-pilots to CRM optimizations. 

We structure our teams to be self-driven, autonomous, and cross-functional. Within these teams, you will have the opportunity to work with Data Scientists, Machine Learning Engineers, Data Engineers, Data Analysts, Product Owners and Agile Delivery Leads.

As a Senior Machine Learning Software Engineer, you will focus on delivering robust and scalable Machine Learning pipelines and you will support the operationalization of Machine Learning models. 

• Collaborate closely with data scientists in order to deliver production-ready model training pipelines;
• Design scalable solutions in a distributed environment;
• Design scalable inference pipelines and architectures;
• Implement model diagnostics such as evaluation, monitoring flows etc.;
• Automate model deployment, enable REST API model endpoints;
• Develop scalable model serving flows;
• Work on cluster optimization and scalability;
• Develop and maintain internal tools and libraries;
• Write CI/CD/CT pipelines.

What you’ll bring

• Extensive experience in software development using Python in large scale, high-performance production environment;
• Significant hands-on experience in designing ML software systems;
• Significant experience with cloud environments like Microsoft Azure or AWS;
• Solid understanding of:
• The ML project lifecycle;
• MLOps concepts and tools such as MLflow or Kubeflow;
• ML algorithms and models.

• Hands-on experience with Spark and PySpark;
• Excellent problem solving and communication skills.

#Machine Learning (ML) #MLOps #AIOps #Software Engineering

Kaizen Gaming Perks

• 🕑 Hybrid way of working;
• 🏃 A buddy will support you with your onboarding;
• 💸 Competitive pay & bonus scheme;
• ⭐Developmental 360° feedback framework;
• 💰 Monthly meal allowance;
• 👩‍⚕️ Private health insurance for you and your family;
• 📚 Unlimited access to Udemy & continuous training;
• 👨‍👩‍👧‍👦 Family Support.
• #LI-Hybrid
• #LI-EL1

Let's start with the role

At Kaizen, we strive to harness the power of modern AI algorithms to continuously improve our product and business. Kaizen’s AI department consists of product, platform and research teams and lies at the core of that mission. We develop AI products for various applications, ranging from detection of fraudulent activity to personalized gaming recommendations and from AI-powered co-pilots to CRM optimizations. 

We structure our teams to be self-driven, autonomous, and cross-functional. Within these teams, you will have the opportunity to work with Data Scientists, Machine Learning Engineers, Data Engineers, Data Analysts, Product Owners and Agile Delivery Leads.

As a Senior Machine Learning Software Engineer, you will focus on delivering robust and scalable Machine Learning pipelines and you will support the operationalization of Machine Learning models. 

• Collaborate closely with data scientists in order to deliver production-ready model training pipelines;
• Design scalable solutions in a distributed environment;
• Design scalable inference pipelines and architectures;
• Implement model diagnostics such as evaluation, monitoring flows etc.;
• Automate model deployment, enable REST API model endpoints;
• Develop scalable model serving flows;
• Work on cluster optimization and scalability;
• Develop and maintain internal tools and libraries;
• Write CI/CD/CT pipelines.

What you’ll bring

• Extensive experience in software development using Python in large scale, high-performance production environment;
• Significant hands-on experience in designing ML software systems;
• Significant experience with cloud environments like Microsoft Azure or AWS;
• Solid understanding of:
• The ML project lifecycle;
• MLOps concepts and tools such as MLflow or Kubeflow;
• ML algorithms and models.

• Hands-on experience with Spark and PySpark;
• Excellent problem solving and communication skills.

#Machine Learning (ML) #MLOps #AIOps #Software Engineering

Kaizen Gaming Perks

• 🕑 Hybrid way of working;
• 🏃 A buddy will support you with your onboarding;
• 💸 Competitive pay & bonus scheme;
• ⭐Developmental 360° feedback framework;
• 💰 Monthly meal allowance;
• 👩‍⚕️ Private health insurance for you and your family;
• 📚 Unlimited access to Udemy & continuous training;
• 👨‍👩‍👧‍👦 Family Support.
• #LI-Hybrid
• #LI-EL1

Let’s start with the role

We are seeking a highly motivated and experienced Technical Project & Partner Manager to join our dynamic team. This role is ideal for a professional who excels at managing relationships with external development vendors and has a deep understanding of the technical project lifecycle within the iGaming industry. 

You will be the primary point of contact for our key partners, overseeing technology projects from initiation to completion and ensuring they are delivered on time, within budget, and according to specifications. In addition, you will manage relationships with external vendors, ensuring the delivery of high-quality services and products, optimizing vendor performance, and mitigating associated risks. The ideal candidate is a strategic thinker with excellent communication skills, a proven track record in project and vendor management, and a passion for the online gaming world.

As a Technical Project Manager, you will:

Vendor Management:

• Identify, evaluate, and select suitable vendors for IT projects and services.
• Negotiate contracts, service level agreements (SLAs), and pricing with vendors.
• Manage vendor relationships by ensuring clear communication, collaboration, and alignment with project goals.
• Monitor vendor performance against contractual obligations and SLAs.
• Evaluate vendor performance, identify areas for improvement, and address any performance issues.
• Manage vendor contracts, ensuring compliance with terms and conditions.
• Mitigate risks associated with vendor relationships.
• Ensure the delivery of required services or products within budget and timelines.
• Assess and onboard specialized AI technology partners, evaluating their agentic AI capabilities, integration readiness, and compliance with strict industry regulations.

Project Management:

• Define project scope, objectives, and deliverables in collaboration with internal and external stakeholders.
• Develop and manage detailed project plans, including timelines, budgets, and resource allocation.
• Lead and manage project teams, ensuring effective communication, collaboration, and performance.
• Monitor project progress, identify and resolve issues, perform escalations when necessary and track key performance indicators (KPIs).
• Ensure projects adhere to project management methodologies and best practices.
• Evaluate new technologies and make recommendations for their use in projects.
• Oversee the end-to-end lifecycle of AI projects—from proof-of-concept (PoC) to deployment—ensuring safety, data privacy, and alignment with organizational goals.
• Champion the adoption of AI-driven tools and agentic AI architectures (e.g., LLM-based autonomous agents) to automate repetitive workflows, optimize internal processes, and enhance overall delivery efficiency.

Leadership Responsibilities

• May be responsible for managing a team of project coordinators, technical staff, or vendor management specialists.
• Provide leadership, guidance, and mentorship to team members.
• Set performance expectations, provide improvement suggestions, conduct performance reviews, and support employee development.
• Foster a collaborative and results-oriented team environment.
• Manage team budgets and resources.

What you will bring

• Bachelor's degree in Computer Science, Information Technology, Business Administration, or a related field.
• Proven experience (typically 5+ years) in IT project management, with a strong understanding of project management methodologies (e.g., Agile, Waterfall).
• Demonstrated experience (typically 3+ years) in vendor management, including vendor selection, contract negotiation, and performance management.
• Technical proficiency in relevant IT areas, such as software development, infrastructure, or systems integration.
• Strong leadership, communication, and interpersonal skills.
• Excellent analytical, problem-solving, and decision-making abilities.
• Ability to manage multiple projects and priorities simultaneously.
• Strong negotiation and contract management skills.
• Ability to build and maintain effective relationships with internal stakeholders and external vendors.
• Knowledge of IT procurement processes and best practices.
• Practical experience or a strongly demonstrated interest in Artificial Intelligence, Large Language Models (LLMs), and emerging Agentic AI frameworks
• Familiarity with the unique challenges of AI/ML project lifecycles, including prompt engineering, model evaluation, and mitigating risks associated with autonomous system deployments
• A proactive approach to evaluating how cutting-edge technologies (like Generative AI) can solve traditional operational bottlenecks
• PMP or other relevant project management certification is a plus.

Kaizen Gaming Perks

• 🕑 Hybrid way of working
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive pay & bonus scheme
• ⭐Developmental 360° feedback framework
• 💰 Monthly meal allowance
• 👩‍⚕️ Private health insurance for you and your family
• 📚 Unlimited access to Udemy & continuous training
• 👨‍👩‍👧‍👦 Family Support.

#LI-Hybrid

#LI-gs1

How You'll Make an Impact: 

As a Senior DevOps Engineer at Cloudbeds, your goal is to constantly improve and scale our SaaS platform to deliver an exceptional experience to hoteliers and their guests worldwide. You'll own the creation, monitoring, automation, and support of our cloud infrastructure and delivery pipelines — enabling product teams to ship high-quality software with speed and confidence. Working within a bottom-up culture that values healthy debate and collaborative problem-solving, you'll have real influence over architecture decisions and the opportunity to shape how we scale infrastructure for one of the fastest-growing hospitality technology platforms in the world.

Our Infrastructure Team: 

Our Infrastructure team is made up of engineers who take genuine pride in their craft, owning projects end-to-end and holding themselves to a high bar. We're passionate about technology and constantly pushing to improve our stack, not just maintain it. If you thrive in an environment where attention to detail matters, great communication is a given, and you're comfortable challenging the status quo to make things better, you'll feel right at home here.

What You Bring to the Team:

• Architect, improve, and scale Cloudbeds' cloud infrastructure on AWS, with a focus on reliability, security, and performance
• Build and evolve our Kubernetes (EKS) platform, driving adoption of containerization best practices across engineering teams
• Automate infrastructure provisioning and configuration using infrastructure-as-code tools like Terraform
• Design, build, and maintain CI/CD pipelines (GitHub Actions, ArgoCD) that enable fast, reliable software delivery
• Partner with product and engineering teams to drive projects to production, sharing DevOps expertise and ensuring strong environment configuration from the infrastructure side
• Maintain and improve monitoring, logging, and alerting systems to ensure platform health and rapid incident response
• Participate in on-call rotation to support production environment stability.

What Sets You Up for Success:

• 5+ years of experience as a DevOps Engineer working hands-on with AWS (networking, compute, storage, databases, queues, cache, permissions).
• 5+ years of strong Kubernetes and Docker experience, including implementing and scaling EKS platforms at production scale.
• Deep expertise with Terraform for infrastructure-as-code and configuration management.
• Proven experience building and supporting CI/CD pipelines using GitHub Actions and ArgoCD.
• Strong knowledge of monitoring and observability tools such as Datadog, Prometheus, Loki, or AWS CloudWatch.
• Working knowledge of web application servers (NGINX, Ingress controllers), databases (MySQL, PostgreSQL, Aurora), caching (Redis, Memcached), and queue technologies (SQS).
• Ability to write Bash and/or Python scripts to automate operational tasks.
• Strong Linux system administration skills and solid networking fundamentals.
• Excellent written and verbal English communication skills; comfortable working asynchronously across a globally distributed remote team.

#LI-REMOTE #LI-IK1

What We Do: AI Service Management (AISM):

Aisera offers the world's first AI-driven service experience solution that automates operations and support for IT, Sales and customer service, making businesses and customers successful by offering consumer-like self-service resolutions to users. Aisera fast tracks the digital transformation journey with user and service behavioral intelligence that drives end-to-end automation of tasks, actions, and business processes. Aisera is a top-tier, VC-funded startup headquartered in Palo Alto, Calif. and a strategic partner with AWS, Microsoft Azure, Google Cloud, ServiceNow and Salesforce.

Aisera has received numerous recognitions, including the following: Forbes AI50; CNBC Upstart 100 Top Startup; Gartner Cool Vendor; Red Herring Top 100 Global Innovator; CIO Innovation Startup Award; CIO Review Top ITSM Solution; Aragon Research Hot Vendor; TiE50 Startup Award; and Silicon Review 50 Most Admired Companies.

The Role: 

Lead AI/ML research and development initiatives while growing as a software engineer. Drive machine learning innovation with strong research acumen while building production-ready ML systems. Partner with AI Systems Tech Lead for technical mentorship and system integration.

Key Responsibilities:

• Lead ML research, experimentation, and development from concept to deployment
• Design and implement novel ML/AI approaches, staying current with cutting-edge research and methodologies
• Architect ML pipelines, training infrastructure, and model evaluation frameworks
• Guide ML engineering decisions including model selection, feature engineering, and optimization strategies
• Translate academic insights into practical applications
• Mentor junior ML engineers and establish ML best practices across the team
• Work closely with AI Systems Tech Leads to ensure delivery of optimized AI systems and services to production
• Enforce data governance and privacy: Follow processes and implement methods that ensure data governance, privacy, and security. 
• Collaborate with cross-functional teams: Work closely with product managers, and other stakeholders to ensure the AI/ML solutions align with the organization's goals and objectives.
• Communicate effectively: Clearly document your work and effectively communicate your findings, insights, and recommendations to both technical and non-technical stakeholders, fostering a collaborative and informed environment.

Required Expertise:

• 5+ years in ML engineering with demonstrated advanced development or research capabilities (innovative projects, publications, theses)
• Advanced degree in AI/ML or related subjects with relevant undergraduate degree
• Deep understanding of ML fundamentals: deep learning, statistical modeling, optimization, and evaluation methodologies
• Strong Python skills with ML libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face)
• Experience with ML experiment tracking, model versioning, and reproducible research practices
• Ability to translate research papers into working implementations
• At least a year of leadership experience driving technical ML initiatives for a small team
• Solid foundation in software development practices (testing, version control, code review)

Growth Opportunities:

• Opportunity to lead both research direction and technical implementation
• Direct involvement in productionizing cutting-edge ML research
• Accelerated software engineering development 

Preferred (in order):

• Background in NLP 
• Experience with distributed training, MLOps, and cloud ML platforms
• Track record of research publications or open-source ML contributions
• Enterprise SaaS experience 

This role is in a Product-building AI/ML team. This is a Greece-based, full-time, employee-status, fully remote position. 

Aisera is Global and our success draws upon the diverse viewpoints, skills and experiences of our employees. We are proud to be an equal opportunity employer and are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or veteran status.

Aisera is a leading provider of AI Copilot solutions, utilizing AiseraGPT and Generative AI to facilitate business transformation and drive revenue growth through a self-service model. Aisera’s AI Copilot uses industry and domain-specific LLMs to deliver human-like experiencs and auto- remediate requests through AI workflows. With 400+ integrations and 1200+ prebuilt workflows, customers achieve 75%+ automation and 90% cost reduction. Aisera has received numerous recognitions, including Leader in the 2024 Gartner Magic Quadrant™ for Artificial Intelligence Applications in ITSM, FastCompany Best Workplaces for Innovators, Inc 5000 Award for Fastest Growth, Forbes AI50, EY Entrepreneur of the Year 2023, CNBC Upstart 100 Top Startup, Gartner Cool Vendor, Red Herring Top 100 Global Innovator, CIO Innovation Startup Award, CIO Review Top ITSM Solution, and Silicon Review 50 Most Admired Companies.

The Role
Take this opportunity to lead the design and development of advanced AI systems including intelligent agents, conversational interfaces, and retrieval-augmented generation (RAG) architectures and systems. Drive technical strategy and implementation for next-generation AI products.

Responsibilities

• Architect and build scalable agentic AI systems capable of autonomous decision-making and task execution
• Architect, design and optimize dialog agents with natural language understanding, context management, and multi-turn conversation capabilities
• Develop and optimize robust search and retrieval systems for RAG implementations, including vector databases, embedding strategies, and knowledge integration
• Take ownership of complex system design, from proof-of-concept to production deployment
• Establish best practices for AI model integration, prompt engineering, and system reliability
• Collaborate with product teams to translate business requirements into technical AI solutions
• Develop and maintain scalable, efficient data pipelines that automate the ingestion, transformation, and storage of data
• Identify performance bottlenecks and improve systems scalability.

Requirements

• At least 7 years in senior software engineering roles, with 2+ years as tech lead or architect 
• 2+ recent years professional work on AI or Search systems 
• Expertise in vector search, embedding models, or RAG system optimization
• Strong background in distributed systems, APIs, and cloud-native AI infrastructure
• Experience with AI frameworks (LangChain, LlamaIndex, etc.), and vector databases or information retrieval systems (preferably Elastic)
• Solid understanding of software development principles and architectural best practices.
• Professional experience with messaging systems such as Kafka, RabbitMQ, or similar technologies.
• Professional experience with cloud platforms such as AWS, GCP or Azure.
• Proficiency in using Docker, Kubernetes, or similar containerization and orchestration tools.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Preferred Qualifications (in order):

• Ph.D. in distributed systems, AI systems, or related area
• Familiarity with machine learning concepts and libraries (e.g., Pandas, NumPy, PyTorch).
• Experience with LLM integration, prompt engineering, and AI orchestration frameworks. 

This is a Greece-based, full-time, employee-status, fully remote position.  

Aisera is Global and our success draws upon the diverse viewpoints, skills and experiences of our employees. We are proud to be an equal opportunity employer and are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or veteran status.