Lead Data Scientist / ML Engineer @ Addepto

Addepto is a leading AI consulting and data engineering company that builds scalable, ROI-focused AI solutions for some of the world’s largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With our exclusive focus on Artificial Intelligence and Big Data, we help organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.

Beyond client projects, we have developed our own product offerings born from real-life client insights and challenges. We are also actively releasing open-source solutions to the community, transforming practical experience into tools that benefit the broader AI ecosystem. This commitment to scalable innovation, proven ROI delivery, and knowledge sharing has earned us recognition by Forbes as one of the top 10 AI consulting companies worldwide.

As a Lead Data Scientist / ML Engineer , you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join :

• AI optimization engine for airport operation management.  This project involves creating an AI-driven optimization engine to streamline airport operations, using real-time data from sources like radar, air traffic, and passenger information.
• AI recommendation engine for the leading innovation company.  This project involves creation of AWS-powered solutions to provide domain-specific recommendations by employing sophisticated LLMs.

Discover our perks and benefits :

What you’ll need to succeed in this role :

Addepto is a leading AI consulting and data engineering company that builds scalable, ROI-focused AI solutions for some of the world’s largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With our exclusive focus on Artificial Intelligence and Big Data, we help organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.

Beyond client projects, we have developed our own product offerings born from real-life client insights and challenges. We are also actively releasing open-source solutions to the community, transforming practical experience into tools that benefit the broader AI ecosystem. This commitment to scalable innovation, proven ROI delivery, and knowledge sharing has earned us recognition by Forbes as one of the top 10 AI consulting companies worldwide.

As a Lead Data Scientist / ML Engineer , you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join :

Discover our perks and benefits :

,[Lead the development, implementation, and validation of Machine Learning solutions, ensuring alignment with project objectives., Lead the design of AI solution architectures that meet complex business goals and drive innovation., Research, test and select the best tools and technologies as well as AL solutions to meet the business requirements., Understand clients’ needs and translate business problems into data science problems., Architect and oversee the implementation of data pipelines and workflows, setting standards for data quality and security., Coordinate with Data Engineering and Software Engineering teams to strategize and oversee the building of AI applications., Present findings and recommendations clearly and concisely to stakeholders., Prioritize, and control tasks within an Agile / Scrum framework, ensuring timely delivery.] Requirements : AI, ML algorithms, ML libraries, LLMs, SQL, NoSQL, CI / CD, Python, GenAI, AWS, MLOps, Docker, Kubernetes, AI Agents Tools : Jira, Confluence, Wiki, GitHub, Agile, Scrum, Kanban. Additionally : Private healthcare, Multisport card, Referral bonus, MyBenefit cafeteria, International projects, Flat structure, Paid leave, Training budget, Language classes, Team building events, Small teams, Flexible form of employment, Flexible working hours and remote work possibility, Free coffee, Startup atmosphere, No dress code, In-house trainings.