Addepto

Senior Data Scientist / ML Engineer

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

SeniorZdalnie·WarszawaFull-time·B2B

#460715·Dodano 19 dni temu·3

Źródło: nofluffjobs.com

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Tech Stack / Keywords

AIML algorithmsML librariesLLMs SQLNoSQLCI/CD Python GenAIMLOpsDocker KubernetesAI Agents

Podsumowanie oferty

Develop and validate Machine Learning models and AI solutions for business challenges, including an airport-operations optimization engine and an LLM recommendation engine. Work with a team of technology experts using Python, AWS or Azure, and data science and machine learning technologies.

Wymagania

5+ years of commercial experience designing and implementing scalable AI solutions, including Machine Learning, predictive modeling, optimization, NLP, computer vision, GenAI, LLMs, and deep learning.
Proficiency in developing ML algorithms from scratch through production deployment.
Strong Python programming skills, including clean code and OOP design, and extensive knowledge of Scikit-Learn, PyTorch, or TensorFlow.
Expertise deploying solutions in AWS or Azure cloud environments.
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.
Experience with SQL and NoSQL databases, including MongoDB, Snowflake, or Databricks.
Knowledge of CI/CD principles and experience with 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 business challenges.
Research, test, and select tools, technologies, and AI solutions to meet business requirements.
Translate clients’ 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 on building AI applications.
Present findings and recommendations to stakeholders.
Prioritize and control tasks within an Agile/Scrum framework to ensure timely delivery.

Benefity

Flexible working hours.
Remote work possibility.
Private healthcare and sports packages.
Eye care, psychotherapy, and coaching support services.
Language classes.
Sponsored training and conferences.
In-house training and knowledge-sharing initiatives.
Team-building events and an integration budget.
Full work equipment, including a laptop and other necessary devices.
Referral bonus.
Paid leave.

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