Addepto

Senior Data Scientist / ML Engineer

19.3k - 25.2k PLN19 320 - 25 200 PLN/ mies./ mies.B2BB2B (netto)

SeniorZdalnie·WarszawaFull-time·B2B

#460825·Dodano 19 dni temu·2

Źródło: justjoin.it

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Tech Stack / Keywords

Machine Learning AWS LLMCloudAIPython Generative AIData Science

Podsumowanie oferty

Develop and validate Machine Learning models and design AI solutions for business challenges. Projects include an AI optimization engine for airport operations and an AWS-powered recommendation engine using LLMs.

Wymagania

5+ years of commercial experience designing and implementing scalable AI solutions, including Machine Learning, predictive modeling, optimization, NLP, computer vision, or GenAI.
Experience developing ML algorithms from scratch through production deployment.
Strong Python programming skills, including clean code, OOP design, and knowledge of Scikit-Learn, PyTorch, or TensorFlow.
Expertise deploying solutions in cloud environments such as AWS or Azure.
Knowledge of applying LLMs, including AI agents, semantic search, prompt engineering, multimodal embeddings, and RAG.
High proficiency in English (C1).
Excellent communication skills and consulting experience involving direct client interaction.
Working experience with SQL and NoSQL databases, such as MongoDB, Snowflake, or Databricks.
Good knowledge of CI/CD principles and GitHub and GitHub Actions.
Familiarity with MLOps, Kubernetes, and Docker.
Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or a related field.

Nice to have:

Experience with Big Data technologies such as Spark, Hadoop, and Kafka.
Leadership and mentoring experience.

Obowiązki

Develop, implement, and validate Machine Learning models to support business objectives.
Design AI solutions that address complex business challenges and drive value.
Research, test, and select tools and technologies to meet business requirements.
Translate clients’ business problems into data science problems.
Architect and oversee data pipelines and workflows, setting standards for data quality and security.
Coordinate with Data Engineering and Software Engineering teams on building AI applications.
Present findings and recommendations to stakeholders.
Prioritize and control tasks within an Agile/Scrum framework to ensure timely delivery.

Benefity

Language classes.
Sponsored training and conferences, including access to Databricks training materials and certifications.
20 fully paid days off.
Team-building events and an integration budget.
Medical and sports packages, eye care, psychotherapy, and coaching.
Full work equipment, including a laptop and other necessary devices.
Opportunities to speak at conferences, write for the company blog, or participate in meetups.
A dedicated onboarding buddy.

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Budżet konferencyjny

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Karta sportowa

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