We use technical cookies and visit statistics: Yandex Metrica and Zorky's own de-identified visit log (cookie zk_aid). We never collect form contents, search text or full IP addresses, and never sell data. Opt out with the button below, or with Global Privacy Control or Do Not Track in your browser. More about cookies and statistics.
Zorky CRMZorky CRM
EN|RU
@termdocs
← All jobs

Lead Data Scientist / ML Engineer

leadPoland, PLScore 70/100today
Market insights
📊 AI / ML / Data Science: salaries and demand on the market
Stack
agileawsazureci/cdclouddatabricksdockerembeddingsgithubhadoopkafkakubernetes
Show company and link
Free. Sign in with email.
Apply
Upload your CV — we will connect you with the employer directly through our pool.
Send your CV →
Description
Обязанности: 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. Опыт: Proven commercial experience (+5 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 comm
Full description, company and the link to apply — after you sign in. Sign in
Employer contacts (email/phone/telegram) are hidden from the public preview — send your CV, and we will connect you directly.
Urgent question? Message @termdocs