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Data Scientist / ML Engineer
Data Scientist / ML EngineerAddepto • Wrocław, Lower Silesia, Poland
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Data Scientist / ML Engineer

Data Scientist / ML Engineer

Addepto • Wrocław, Lower Silesia, Poland
30+ days ago
Job description

technologies-expected :


  • Python
  • AWS
  • SQL
  • Kubernetes
  • Docker
  • AI
  • ML
  • Pytorch
  • TensorFlow

technologies-optional :


  • React.js
  • Node.js
  • JavaScript
  • TypeScript
  • Fullstack

about-project :


  • 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.

responsibilities :


  • 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-expected :


  • Proven commercial experience (+3 years) designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, LLM, 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.

offered :


  • 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 your preferred form of cooperation - B2B or a contract of mandate - and enjoy 20 fully paid days off.
  • 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.

benefits :


  • sharing the costs of sports activities
  • private medical care
  • sharing the costs of professional training & courses
  • remote work opportunities
  • flexible working time
  • integration events
  • no dress code
  • video games at work
  • coffee / tea
  • drinks
  • christmas gifts
  • birthday celebration
  • employee referral program
  • Reimbursement for prescription glasses or contact lenses

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Data Scientist / ML Engineer • Wrocław, Lower Silesia, Poland

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