All active AI Engineer roles based in Athens.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
We are Kaizen Gaming
Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment.
We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents.
Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential?
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
Recruitment Privacy Notice
Regarding the data you share with us, you may find and read our recruitment privacy notice here.
We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age.
Ready to apply?
Apply to Kaizen Gaming
The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.
Our interview process involves several technical interviews and we aim to complete them within 1 week.
What You’ll Do
An Ideal Candidate Should Have
What We Offer
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Panther is building the AI SOC platform that helps security teams detect and respond faster than attackers. The Context & Data Experience team owns the foundational layer that makes everything else possible — getting the right data in, making it trustworthy, and surfacing environment context that powers every alert, hunt, and investigation. This team helps customers:
This role is about making data pipelines feel invisible, context feel instant, and security coverage feel complete.
You'll join the Context & Data Experience team and partner closely with engineers and PMs to build the backend systems that power data ingestion, enrichment, and environment context at Panther. This is a backend role focused on the foundational infrastructure that every detection, alert, and investigation depends on.
Technical Expertise:
Nice to Have:
Mindset:
Panther is a cybersecurity company with the mission of detecting any breach, anywhere. Panther solves modern security problems with detection-as-code, a cloud-native architecture, and a robust security data lake. Panther’s platform enables security teams to focus on security, detect attacks, and protect their organizations without prohibitive overhead.
Panther is backed by Coatue Management, Lightspeed Venture Partners, S28 Capital, Snowflake Ventures, ICONIQ Growth, and Innovation Endeavors, and has raised $140M. Customers include Figma, Gusto, Coinbase, and Dropbox.
Panther is remote-first, with a culture of flexibility, written documentation, open communication, and collaboration. Our values guide our every move: Create Customer Love, Be an Owner, and Take Care of the Team.
We believe in transparency throughout our process — including how we approach AI.
We recognize that AI tools can enhance productivity and support high-quality work. Candidates are welcome to use AI tools for assistance when preparing application materials and completing take-home assignments. If AI use is not permitted for a specific assessment, we will indicate that clearly in the instructions. During live interviews, we ask that candidates not use AI tools to generate or supply real-time answers. This includes reading from AI-generated responses or prompts during conversational, behavioral, or technical discussions. These conversations are designed to understand your individual thinking process, problem-solving approach, and ability to communicate your ideas.
We also use AI tools to support our recruiting processes; hiring decisions are made by our team, not AI.
Reasonable Accommodations
We are committed to providing equal opportunity to all candidates. If you require the use of an AI-based tool or any other assistive technology as a reasonable accommodation for a disability or medical condition, please notify us prior to your interview. We will engage in an interactive process to determine what arrangements are appropriate for your situation. Accommodation requests are handled individually and in accordance with applicable law.
The cash compensation range for this role is €87000 - 100,000 (14 month salary)
The cash compensation above includes base salary and on-target commission for employees in eligible roles. In addition to cash compensation, all full-time Pantherinos are eligible to participate in our equity plan to receive Incentive Stock Options (ISO). Individual compensation packages are based on a few factors unique to each candidate, including their location, experience, and expertise, and may vary from the above-mentioned range.
Panther Labs is an Equal Opportunity Employer. The Company prohibits discrimination and harassment on the basis of: race, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding), gender, gender identity, gender expression, sexual orientation, marital status, age, religious creed, physical disability, mental disability, genetic information, military or veteran status, or any other status protected by law. All employment decisions are decided on the basis of qualifications, merit, and business need.
Ready to apply?
Apply to Panther
We are Kaizen Gaming
Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment.
We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents.
Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential?
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.
What you’ll bring
#Machine Learning (ML) #MLOps #AIOps #Software Engineering
Kaizen Gaming Perks
Recruitment Privacy Notice
Regarding the data you share with us, you may find and read our recruitment privacy notice here.
We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age.
Ready to apply?
Apply to Kaizen Gaming
We are Kaizen Gaming
Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment.
We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents.
Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential?
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.
What you’ll bring
#Machine Learning (ML) #MLOps #AIOps #Software Engineering
Kaizen Gaming Perks
Recruitment Privacy Notice
Regarding the data you share with us, you may find and read our recruitment privacy notice here.
We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age.
Ready to apply?
Apply to Kaizen Gaming
The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies
Required:
Preferred / Bonus:
What we offer
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz ranked us the #1 best company for remote workers
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
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
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
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
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
Ready to apply?
Apply to Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz ranked us the #1 best company for remote workers
We are looking for a Distributed Systems Engineer with experience in building high-performing, scalable, enterprise-grade applications. You will be responsible for building API interfaces (for customers, UI team etc). You will be responsible for building a high performance queuing/storage engine. You will collaborate with UI, connectivity and DevOps teams to come up with elegant solutions to complex problems. You will work in a polyglot environment where you can learn new languages and technologies whilst working with an enthusiastic team.
Responsibilities include designing and developing high-volume, low-latency applications for mission-critical systems and delivering high-availability and performance
Contribute in all phases of the development lifecycle
Write well designed, testable, efficient code
Evaluate and propose improvements to existing system
5+ years of industry experience
Experience building and shipping large-scale, reliable, highly distributed systems
Systems-level programming experience, especially in C, Go, Rust
Expertise in L2, L3, and/or L4 networking protocols
Good understanding of Linux networking and security
Experience building on top of Linux kernel networking primitives – netfilter, nftables, eBPF, tc, network namespaces, etc
Experience with large-scale distributed data pipelines, from data structuring to efficient querying to data analysis
Experience of working with public cloud infrastructure providers (AWS/Azure/Google Cloud)
Understanding of Kubernetes concepts
Excellent debugging and optimization skills
Understanding at the protocol level, including the differences between what the specs say, and what actually happens on the Internet
Contributions to open source projects is a plus
Excited by the idea of optimizing complex solutions to general problems
Attention to detail and ability to solve complex customer problems
Own solutions end-to-end and driving the design, development, and deployment process
Able to work across teams and level common, sustainable solutions
Ready to apply?
Apply to Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz ranked us the #1 best company for remote workers
We are looking for an exceptional Senior Software Engineer to join our growing team. In this role, you will be responsible for building API interfaces and backend infrastructure and collaborate with UI, connectivity and DevOps teams to come up with elegant solutions to complex problems. You will also be responsible to:
Build complex Ruby on Rails applications.
Build server side infrastructure for Workato user interface.
Contribute in all phases of the development lifecycle
Write well designed, testable, efficient code.
Evaluate and propose improvements to existing system.
Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.
Strong experience developing, shipping and maintaining Rails applications (5+ years)
Vast knowledge of Ruby
BS/MS degree in Computer Science, Engineering or a related subject
Solid knowledge of object-oriented programming and design
Experience with Redis/Memcache based caching, RDBMS engines(Postgres)
Solid knowledge of object-oriented programming and design
Contributions to open source projects is a plus
Ready to apply?
Apply to Workato
The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.
Our interview process involves several technical interviews and we aim to complete them within 1 week.
What You’ll Do
An Ideal Candidate Should Have
Technical Requirements:
What We offer:
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
About Us:
Pricefox is Greece's leading price comparison platform for insurance and energy. A platform with momentum, on the edge of something bigger.
Backed by international investors (Antenna Group and Samlino), growing year-on-year, and used by thousands every month to make better financial decisions.
We're in the middle of a deliberate transformation into a product-led company that operates and thinks at a European level. That means better systems, sharper UX, smarter use of data, and a product culture where the bar is genuinely high.
Our CEO is stepping back from the product function. The Head of Product role fills that seat — with full autonomy, proximity to business decisions, and real influence over where the company goes next.
Let’s start with the role:
We are currently looking for an ambitious Head of Product to lead the product function and help turn a fast-growing Greek platform into a product-led company with high standards. This is a role for someone who wants to build — and sees product as a direct driver of business growth.
What you'll own:
Set direction across Product teams. Translate business goals into a coherent, sequenced roadmap. Be the person who decides what we build — and, equally, what we don't.
Own the metrics that matter — conversion rates, customer acquisition, activation, and retention. Connect product decisions directly to revenue and margin. Product is a growth function, not a support one.
Drive Pricefox's shift to PLG. Build the loops, onboarding, activation flows, and experimentation engine that turn users into long-term customers.
Lead the adoption of AI tools across the product function — not as a trend, but as a disciplined habit. Build a team that experiments with what's available, extracts real value, and moves faster because of it.
Own the design function and set the standard for what good looks like at Pricefox. Ensure UX is never an afterthought in a tradeoff conversation.
Own the vision for how data becomes a product lever. Start by establishing clarity, ownership, and the right habits — then build the team over time as the function matures.
Work closely with Engineering, Marketing, Commercial Business Development, Operations, and Finance. Be the person who turns competing priorities into a clear, shared product direction.
Develop a strong team. build a product culture with clear craft standards, honest feedback, and a genuine bias for outcomes over output.
What we're looking for:
Experience and qualities that matter for this role:
Good to have:
How this role operates:
We have high ambitions, and we try to operate accordingly, building high standards and a team that wants to get better. We're honest about the fact that we're still building that culture. This role is part of how we get there.
What you get:
The selection process:
A note on fit:
We're not looking for someone who ticks every box on this list. We're looking for someone with the character, the curiosity, and the track record to grow into every part of it.
If you've read this and feel genuinely excited, we'd love to hear from you.
Ready to apply?
Apply to Pricefox
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:
Required Expertise:
Growth Opportunities:
Preferred (in order):
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.
Ready to apply?
Apply to Aisera
Cookies & analytics
This site uses cookies from third-party services to deliver its features and to analyze traffic.