Senior Data Scientist / Tech Lead
New
A
AddeptoAI consulting
Locations: Warszawa, Krucza 50, Kraków, Aleksandra Lubomirskiego 20, Wrocław, Świdnicka 40, Katowice, -, Gdańsk, -, Warszawa, Country code: PLFull-TimeLead
Salary19,320 - 28,560 PLN per month
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Job Details
- Languages
- High proficiency in English (C1 level).
- Experience
- 6+ years of commercial experience
- Required Skills
- AWSPythonMachine LearningPyTorchAzureTensorflowscikit-learnMLOpsGenerative AI
Requirements
- Have 6+ years of commercial experience designing and implementing scalable AI solutions.
- Have experience with Machine Learning, Predictive Modeling, Optimization, NLP, Computer Vision, GenAI, LLMs, and Deep Learning.
- Develop ML algorithms from scratch through production deployment.
- Demonstrate strong Python programming skills, including clean code, OOP design, and ML libraries such as Scikit-Learn and PyTorch or TensorFlow.
- Have experience deploying solutions in AWS or Azure cloud environments.
- Apply LLMs, including AI agents, semantic search, prompt engineering, multimodal embeddings, and RAG.
- Have high proficiency in English (C1 level).
- Bring excellent communication skills and consulting experience with direct client interaction.
- Have experience with SQL and NoSQL databases, including MongoDB, Snowflake, or Databricks.
- Know CI/CD principles and GitHub and GitHub Actions.
- Be familiar with MLOps practices, Kubernetes, and Docker.
- Hold a Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or a related field.
Responsibilities
- Lead the development, implementation, and validation of machine learning solutions aligned with project objectives.
- Design AI solution architectures that meet business goals.
- Research and select tools, technologies, and AI solutions 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 to build AI applications.
- Present findings and recommendations to stakeholders.
- Prioritize and control tasks within an Agile/Scrum framework.
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