Senior Data Scientist / Tech Lead

As a Senior Data Scientist / Tech Lead, you will work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies.

Projects

• AI optimization engine for airport operation management: Create an AI-driven optimization engine to streamline airport operations using real-time data from sources such as radar, air traffic, and passenger information.
• AI recommendation engine for a leading innovation company: Create AWS-powered solutions that provide domain-specific recommendations using sophisticated LLMs.

In this position, you will

• 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, technologies, and AI solutions to meet business requirements.
• Understand client 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.

What you’ll need to succeed in this role

• 6+ 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 Python programming skills, including clean code, OOP design, and extensive knowledge of ML libraries such as Scikit-Learn, PyTorch, and TensorFlow.
• Proven expertise deploying solutions in AWS or Azure cloud environments.
• Knowledge of applying LLMs, including AI agents, semantic search, prompt engineering, multimodal embeddings, and RAG.
• C1-level English proficiency.
• Excellent communication skills and consulting experience involving direct client interaction.
• Experience with SQL and NoSQL databases, including MongoDB, Snowflake, and Databricks.
• Good knowledge of CI/CD principles using 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.
• Experience with Big Data technologies such as Spark, Hadoop, and Kafka is a plus.

Perks and benefits

• Work in a supportive team of AI and Big Data enthusiasts.
• Engage with global enterprises and cutting-edge startups on international projects.
• Flexible work arrangements, including remote work, modern offices, and coworking spaces.
• Career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including Databricks and Anthropic training materials and certifications.
• Team-building events and an integration budget.
• Work-anniversary, birthday, and milestone celebrations.
• Medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
• Full work equipment, including a laptop and other necessary devices.
• Opportunities to build a personal brand through conference speaking, blog writing, and meetups.
• Smooth onboarding with a dedicated buddy in a friendly, supportive, and autonomous culture.