Data Scientist

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 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.

We're open to candidates of different seniority levels, from strong mid/regular to senior developers.

Your main responsibilities: 

• Develop, implement, and validate Machine Learning solutions, ensuring alignment with project objectives.

• Design 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.

• 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:

• Proven commercial experience designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, Computer Vision, GenAI).

• Proficiency in developing ML algorithms from scratch to production deployment.

• Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch / Tensorflow).

• Proven expertise in deploying solutions in cloud environments (AWS or Azure).

• Knowledge in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG).

• High proficiency in English (C1 level).

• Excellent communication skills and consulting experience with direct interaction with clients.

• Working experience in SQL and NoSQL databases (MongoDB, Snowflake, Databricks).

• Good knowledge of CI/CD principles (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 a related field.

• Experience with Big Data technologies like Spark, Hadoop, and Kafka is a plus.

• Leadership and mentoring experience is a plus.

 Discover our perks & benefits:

• Work in a supportive team of passionate enthusiasts of AI & Big Data.

• Engage with top-tier global enterprises and cutting-edge startups on international projects.

• Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces. 

• Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences.

• Choose from various employment options: B2B, employment contracts, or contracts of mandate.

• Make use of 20 fully paid days off available for B2B contractors and individuals under contracts of mandate.

• Participate in team-building events and utilize the integration budget.

• Celebrate work anniversaries, birthdays, and milestones.

• Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.

• Get full work equipment for optimal productivity, including a laptop and other necessary devices.

• With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.

• Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.

Curious about what a day in the life of our Data Science team looks like? We've got you covered Get an insider's look at the routines and activities that keep our AI team thriving. Meet Vova and discover what his typical day is like

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