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Senior Data Scientist / Tech Lead @ Addepto

Senior Data Scientist / Tech Lead @ Addepto

AddeptoGdańsk, Poland
30+ days ago
Job description

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 Senior Data Scientist / 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. 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.

Discover our perks and 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 , including a partnership with  Databricks , which offers industry-leading training materials and certifications.
  • 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.
  • What you’ll need to succeed in this role :

  • 6+ years of commercial experience in designing and implementing scalable  AI  solutions (Machine Learning, Predictive Modeling, Optimization, NLP, Computer Vision, GenAI).
  • Experience in Machine Learning projects  leadership  and team mentoring.
  • 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  (AI agents, 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.
  • Master’s or Ph.D. 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 highly desirable.
  • 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 Senior Data Scientist / 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. 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.
  • Discover our perks and 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 , including a partnership with  Databricks , which offers industry-leading training materials and certifications.
  • 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.
  • ,[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 the 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.] Requirements : AI, ML algorithms, ML libraries, LLMs, SQL, NoSQL, CI / CD, Python, Cloud, MLOps, Docker, Kubernetes, AI Agents Tools : Jira, Confluence, Wiki, GitHub, Agile, Scrum, Kanban. Additionally : Private healthcare, Multisport card, Referral bonus, MyBenefit cafeteria, International projects, Flat structure, Paid leave, Training budget, Language classes, Team building events, Small teams, Flexible form of employment, Flexible working hours and remote work possibility, Free coffee, Startup atmosphere, No dress code, In-house trainings.

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    Senior Data Scientist • Gdańsk, Poland

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