Senior Data Scientist / Tech Lead

Addepto is a leading AI consulting and data engineering company specializing in scalable, ROI-focused AI solutions for major enterprises and startups globally. The company also develops its own AI product, ContextClue, and contributes open-source solutions to the AI community. Part of KMS Technology, it combines deep AI expertise with enterprise-scale delivery capabilities.

• 6+ years of commercial experience in designing and implementing scalable AI solutions including Machine Learning, Predictive Modeling, Optimization, NLP, Computer Vision, and Generative AI.
• Experience in Machine Learning projects leadership and team mentoring.
• Proficiency in developing ML algorithms from scratch to production deployment.
• Strong programming skills in Python with knowledge of ML libraries like Scikit-Learn, PyTorch, and Tensorflow.
• Proven expertise in deploying solutions in cloud environments such as AWS or Azure.
• Knowledge in applying LLMs including AI agents, semantic search, prompt engineering, multimodal embeddings, and RAG.
• High proficiency in English (C1 level) with excellent communication and consulting experience.
• Working experience in SQL and NoSQL databases (MongoDB, Snowflake, Databricks).
• Good knowledge of CI/CD principles using tools like GitHub and GitHub Actions.
• Familiarity with MLOps practices, Kubernetes, and Docker.
• Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or related fields.
• Experience with Big Data technologies like Spark, Hadoop, and Kafka is a plus.

Nice to have:

• Experience in leadership and mentoring is highly desirable.
• Knowledge of AI Agents.

• 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 AI solutions to meet 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.