Data Scientist

22 hours ago

Remote Warszawa Gdańsk Wrocław Białystok Kraków, Czech Republic Addepto Full time

🎯 What you’ll need to succeed in this role:

  • At least 2+ years of 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.

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.
  • 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.
,[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, GenAI, LLM, TensorFlow, Kubernetes, MLflow, CI/CD, AWS, PyTorch, Docker, RAG, LangChain, LlamaIndex, OpenAI, Huggingface, Azure, MLOps, Snowflake, Computer vision 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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