Lead Data Scientist / ML Engineer

• 5+ years of commercial experience designing and implementing scalable AI solutions, including Machine Learning, Predictive Modeling, Optimization, NLP, Computer Vision, GenAI, LLMs, and Deep Learning.
• Proficiency in developing ML algorithms from scratch through production deployment.
• Strong programming skills in Python, including clean code, OOP design, and extensive knowledge of Scikit-Learn, PyTorch, and TensorFlow.
• Expertise deploying solutions in cloud environments using AWS or Azure.
• Knowledge of applying LLMs, including AI agents, semantic search, prompt engineering, multimodal embeddings, and RAG.
• High proficiency in English (C1).
• Communication skills and consulting experience involving direct interaction with clients.
• Working experience with SQL and NoSQL databases, including MongoDB, Snowflake, and Databricks.
• Knowledge of CI/CD principles and GitHub and GitHub Actions.
• Familiarity with MLOps practices, Kubernetes, and Docker.
• Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or a related field.

Nice to have:

• Experience with Big Data technologies such as Spark, Hadoop, and Kafka.
• Leadership and mentoring experience.

• 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 tools, technologies, and 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.