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Data Scientist / ML Engineer @ Addepto
  • Wrocław
Data Scientist / ML Engineer @ Addepto
Wrocław, Wrocław, Lower Silesian Voivodeship, Polska
Addepto
21. 2. 2025
Informacje o stanowisku

Addepto is a leading consulting and technology company specializing in AI and Big Data, helping clients deliver innovative data projects. We partner with top-tier global enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. Our exclusive focus on AI and Big Data has earned us recognition by Forbes as one of the top 10 AI companies.

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:

  • Development and deployment of advanced computer vision pipelines for the industry-leading European manufacturer. The solution is designed to enhance quality control on the production line by automating defect detection. It leverages state-of-the-art machine learning and image processing techniques to improve accuracy and efficiency.
  • AI-powered chatbot to streamline internal company processes. It will automate tasks, provide quick access to information, and integrate with internal systems to support workflow efficiency.
  • 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.

What you’ll need to succeed in this role:

  • 3+ years of commercial experience in developing and deploying ML solutions.
  • Hands-on experience designing and implementing scalable AI solutions and knowledge of applying LLMs and/or Computer Vision techniques.
  • Strong proficiency in Python and familiarity with common ML libraries.
  • High proficiency in English (minimum C1 level).
  • Experience deploying applications on cloud platforms (AWS or Azure).
  • Good knowledge of CI/CD principles (for example, 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 Snowflake is a plus.
  • Experience in a consulting role, working with external clients to design, develop, and deploy data-driven solutions.
  • Strong problem-solving and communication skills and ability to work in a team.

Addepto is a leading consulting and technology company specializing in AI and Big Data, helping clients deliver innovative data projects. We partner with top-tier global enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. Our exclusive focus on AI and Big Data has earned us recognition by Forbes as one of the top 10 AI companies.

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:

  • Development and deployment of advanced computer vision pipelines for the industry-leading European manufacturer. The solution is designed to enhance quality control on the production line by automating defect detection. It leverages state-of-the-art machine learning and image processing techniques to improve accuracy and efficiency.
  • AI-powered chatbot to streamline internal company processes. It will automate tasks, provide quick access to information, and integrate with internal systems to support workflow efficiency.
  • 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.
,[Develop, implement, and validate Machine Learning solutions tailored to specific project requirements. , Understand clients needs and translate business problems into data science problems. , Design scalable AI solution architectures., Develop data pipelines and workflows, ensuring the highest standards of data quality and security., Collaborate with Data Engineering and Software Engineering teams to build and deploy AI applications. , Present findings and recommendations clearly and concisely to stakeholders. , Effectively plan tasks within an Agile/Scrum framework. Requirements: Machine Learning, Data science, AI, Python, Cloud, Computer vision, GenAI, LLM, TensorFlow, Kubernetes, MLflow, CI/CD, AWS, PyTorch, Docker, RAG, LangChain, LlamaIndex, OpenAI, Huggingface, Azure, MLOps, Snowflake Tools: Jira, GitLab, Agile, Scrum. 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, Sport subscription, Free coffee, Shower, Startup atmosphere, No dress code, In-house trainings.

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