Data Scientist / AI Engineer

Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) 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 an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.

The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.

As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.

As a Lead Data Scientist / AI Engineer / Tech Lead, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Projects include an AI optimization engine for airport operation management and an AI recommendation engine for a leading innovation company using AWS and sophisticated LLMs.

• 6+ years of commercial experience designing and implementing scalable AI solutions including Machine Learning, Predictive Modeling, Optimization, NLP, LLM, Computer Vision, and GenAI.
• Experience in leading end-to-end Machine Learning projects and managing cross-functional teams.
• Proficiency in developing ML algorithms from scratch to production deployment.
• Strong programming skills in Python including clean code, OOP design, and extensive knowledge of ML libraries such as Scikit-Learn, PyTorch, and TensorFlow.
• Proven expertise in deploying solutions in cloud environments, preferably AWS and/or Azure.
• Knowledge in applying LLMs for semantic search, prompt engineering, multimodal embeddings, and RAG.
• High proficiency in English (C1 level).
• Excellent communication and consulting experience with direct client interaction.
• Working experience with SQL and NoSQL databases including MongoDB, Snowflake, and Databricks.
• Good knowledge of CI/CD principles, especially using GitHub and GitHub Actions.
• Familiarity with MLOps practices, Kubernetes, and Docker.
• Bachelor’s or Master's degree in Computer Science, Data Science, Mathematics, Physics, or related field.
• Experience with Big Data technologies such as Spark, Hadoop, and Kafka is a plus.

• Lead the development, implementation, and validation of Machine Learning solutions aligned 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, technologies, and AI solutions to meet business requirements.
• Lead and mentor cross-functional teams, encouraging collaboration and skill growth.
• 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.

I consent to the processing of my personal data for the purposes of the recruitment processes.