Data Scientist / ML Engineer
New
A
AddeptoAI Consulting
Warszawa, Krucza 50, Kraków, Aleksandra Lubomirskiego 20, Wrocław, Świdnicka 40, Katowice, -, Gdańsk, -, Warszawa, Country code: PLFull-TimeMiddle
Salary12,600 - 19,320 PLN per month
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Job Details
- Languages
- English (C1 level)
- Experience
- 3+ years
- Required Skills
- AWSDockerPythonSQLMachine LearningAzureNosqlCI/CDLLMMLOps
Requirements
- 3+ years of commercial experience in designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, Computer Vision, GenAI).
- Proficiency in developing ML algorithms from scratch to production deployment.
- Strong programming skills in Python: writing clean code, OOP design, and 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 communication skills and consulting experience with direct client interaction.
- Working experience in SQL and NoSQL databases (MongoDB, Snowflake, Databricks).
- Good knowledge of CI/CD principles (GitHub and GitHub Actions).
- Familiarity with MLOps practices, Kubernetes, and Docker.
- Bachelor’s or Master's degree in Computer Science, Data Science, Mathematics, Physics, or a related field.
Responsibilities
- Develop, implement, and validate Machine Learning solutions aligned with project objectives.
- Design AI solution architectures that meet complex business goals.
- Research, test, and select optimal tools and technologies to meet business requirements.
- Understand client needs and translate business problems into data science problems.
- Oversee the implementation of data pipelines and workflows with a focus on 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 to stakeholders.
- Prioritize and control tasks within an Agile/Scrum framework to ensure timely delivery.
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