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

Let’s start with the role

Kaizen Gaming uses a variety of systems and stacks to deliver its products, and as a member of this team, you will work closely with the other software engineering teams with a focus on software development and infrastructure design, providing expertise in performance, stability, and scalability.

We are looking for an experienced Site Reliability Engineer who brings a broad set of technical skills and achievements,a  development and automation-focused mindset to solving problems, who is eager to tackle a few of technology’s greatest challenges and make an impact on thousands, if not millions, of users. Our SRE team consists of experienced engineers who collaborate effectively and work on large-scale applications that serve real-time content to thousands of connected users, within a fast-paced, growing business.

As a Site Reliability Engineer, you will:

• Together with a team of engineers, you will enable and enhance the day-to-day operational workflows of critical applications and services in a 24x7x365 environment located in cloud and physical data centres.
• Continuously improve application observability to ensure the uptime and reliability of our applications and infrastructure;
• Utilize a wide variety of open source technologies to create fault-tolerant, scalable and secure high-performance services and pipelines on a global scale.

What you'll bring

• 3-5 years experience building scalable production environments;
• Experience with, or understanding of, source code control systems, versioning, branching and merging, configuration, build management, artefact repos, automated build tools, automated testing frameworks and automated deployment frameworks;
• Extensive working experience on Continuous Integration and Continuous Delivery procedures and tools (eg. Jenkins, Gitlab CI), since you will be maintaining and supporting automated build pipelines;
• Strong Scripting skills (BASH, Powershell, Python, Go, Ruby etc.);
• Strong experience using Docker containers and container orchestration tools (preferably Kubernetes);
• Experience with one or more Infrastructure as code tools such as Ansible, Chef, Terraform, etc.;
• Ability to work as part of a distributed team;
• Experience in monitoring and metrics systems (Prometheus, Logstash, Grafana);
• Programming skills in Java or .Net.

Nice to have

• Familiarity with database technologies (MSSQL/PostgreSQL);
• Hands-on experience with messaging technologies like RabbitMQ, Apache Kafka configuration and troubleshooting.

Responsibilities

We're looking for a hands-on Platform/Observability Engineer to join our infrastructure team. You'll own and evolve our observability stack - from logging pipelines and tracing to metrics and alerting - across a multi-datacenter, Kubernetes-based environment. This is a production-first role: you'll be expected to ship, iterate, and improve systems under real delivery pressure, not just design them on paper.
You'll work closely with other infra and product engineering teams to improve observability coverage, reduce operational toil, and help the broader organization adopt better practices.
Tech Stack Highlights: OpenTelemetry · Kafka · Vector · VictoriaMetrics · EKS · Kubernetes · Logging pipelines · Distributed tracing · SPM· AWS

• Designing, deploying, and maintaining production observability stacks (logs, metrics, traces)

• Scaling observability infrastructure across multiple data centers and Kubernetes clusters

• Owning logging pipeline architecture and refactoring efforts

• Improving distributed tracing coverage and driving adoption across engineering teams

• Managing EKS upgrades, node exporters, agents, and collectors

• Automating operational tasks to reduce toil and improve system stability

• Contributing to compliance and audit readiness (access controls, data handling, pipeline integrity)

• Evaluating and adopting new observability tooling - knowing what's worth pursuing and what isn't

Requirements

Core technical experience:

• 8+ years of industry experience

• Solid hands-on production experience with observability systems

• Strong plus - familiarity with OpenTelemetry, Kafka, Vector, and VictoriaMetrics (vmagent, alerting rules)

• Experience with logging pipelines: design, deployment, and refactoring

• Understanding of distributed tracing and SPM (Service Performance Monitoring) built on top of tracing

• Experience with Kubernetes cluster lifecycle management (EKS preferred)

• Practical knowledge of storage trade-offs for observability data at scale

Nice to have  

• Experience using AI to automate infrastructure or observability tasks (e.g., automated RCA, PR generation, deployment workflows)

• Familiarity with AI-assisted tooling selection and workflow integration

• Experience with MCP (custom or open-source implementations)

• Background in cloud account or environment migrations

• Experience preparing infrastructure for compliance/audit processes

• Understanding network architecture, troubleshooting and incident resolution skills in Production environment, writing Post-mortems.

• Experience with containers and Kubernetes (installation and configuration of operators). 

• Basic knowledge of one or more high-level programming languages, such as Python, Golang, Java

Soft Skills / Personal Characteristics

• Good communication and collaboration skills in international technological companies.

• Interest in modern big distributed storage technologies, architectures.

• Good Spoken English to participate in product-related, architectural and technical discussions.

• Proper balance between being hands-on and deeper analytical approaches

(REQ ID: 2640)

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.