AI / Machine Learning Engineer

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MidFull-time·Umowa o pracę
#423315·Dodano 6 dni temu·1
Źródło: www.pracuj.pl
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Tech Stack / Keywords

• Python • Microsoft Azure • Snowflake / Data Lake • Docker / Kubernetes • Azure DevOpsWindowsLinux

Firma i stanowisko

Kongsberg Maritime Poland Sp. z o.o. is the world's largest company specializing in advanced maritime technologies, providing innovative and reliable solutions for global maritime industry sectors. The company is headquartered in Kongsberg, Norway, with production, commercial, and service offices in 40 countries worldwide. It is a leader in pioneering maritime solutions delivering mission-critical products and is involved in the full lifecycle of its software.

Wymagania

  • Technical education or equivalent experience
  • Experience in machine learning and data analysis
  • Very good knowledge of Python
  • Experience in building backend or web applications
  • Practical knowledge of databases and SQL
  • Proficiency in English enabling smooth communication
  • Analytical thinking and problem-solving skills

Nice to have:

  • Experience with data platforms like Snowflake or data lakes
  • Knowledge of ML frameworks such as TensorFlow, PyTorch, scikit-learn
  • Experience with language models (LLM) or generative AI solutions
  • Experience building ML pipelines and knowledge of MLOps
  • Experience with cloud platforms like Microsoft Azure
  • Familiarity with containerization tools like Docker and Kubernetes
  • Experience using AI-assisted tools like Copilot to improve productivity, code quality, and delivery efficiency

Obowiązki

  • Preparing and analyzing data for machine learning models
  • Designing, training, and optimizing ML and LLM models following best practices in MLOps/LLMOps
  • Creating AI/ML-based services such as APIs and backend components
  • Integrating ML solutions with web applications
  • Co-developing data and ML pipelines
  • Collaborating with product, engineering, and business teams
  • Monitoring model performance and continuously improving models in production environments

Benefity

  • Support for sports passions and wellbeing programs
  • Private healthcare and life insurance options
  • Flexible start times and hybrid work from home
  • Possible early leave from work when needed
  • Celebrations for family enlargements and work anniversaries
  • Financial support for studies, trainings, and personal development
  • Use of DDD, Continuous Integration and Deployment, and DevOps in projects
  • Access to industry e-learning platforms
  • Training budgets, internal and external trainings
  • Soft skills training and technical leadership support
  • Participation in IT events and knowledge exchange
  • Private healthcare
  • Flexible working hours
  • Fresh fruits supply
  • Integration meetings
  • No dress code
  • Employee parking
  • Additional social benefits
  • Relocation package
  • Employee referral program
  • Internal recruitment
  • Norwegian language learning
  • Accessibility for disabled persons
  • Cafeteria fund
  • Catering subsidy
  • Social fund
  • Access to E-tutor and Hedepy for Business platforms
Opieka zdrowotna
Elastyczne godziny
Karta sportowa
Pakiet relokacyjny
Dofinansowanie szkoleń
Szkolenia wewnętrzne
Spotkania integracyjne
Kongsberg Maritime Poland Sp. z  o.o.

Kongsberg Maritime Poland Sp. z o.o.

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