Senior ML/AI Engineer
New
S
Svitla Systems Inc.Artificial Intelligence
Warszawa, -, Kraków, -, Wrocław, -, Poznań, -, Gdańsk, -, Toruń, -, Gdynia, -, Białystok, -, Warszawa, Country code: PL; for a full-time position (40 hours per week) in Europe.Full-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- PythonArtificial IntelligenceGitMachine LearningNumpyPandasNLPLLM
Requirements
- Proficient Python skills.
- Excellent problem-solving and analytical abilities.
- Solid understanding of machine learning and AI.
- Hands-on experience with classification and retrieval tasks.
- Experience with large language models, including fine-tuning, retrieval-augmented generation, foundation model APIs, and prompt engineering.
- Proficiency in Pandas and NumPy.
- Strong knowledge of NLP concepts.
- Familiar with Hugging Face Transformers and Datasets.
- Knowledge of Faiss or comparable nearest-neighbor search tools.
- Experience with Hydra for configuration management.
- Experience using Weights & Biases for tracking experiments.
- Proficiency with Git and GitHub.
- Excellent data management and manipulation skills.
- Experience collaborating on shared codebases, remotely working with teams and servers.
Responsibilities
- Develop, train, evaluate, and deploy machine learning models.
- Work on classification, retrieval, NLP, and LLM-based tasks.
- Build and optimize retrieval-augmented generation workflows.
- Create fine-tuned large language models for specific use cases.
- Use foundation model APIs and apply prompt engineering techniques.
- Prepare, clean, manage, and manipulate datasets for ML model development.
- Use Python libraries such as Pandas and NumPy for data analysis and preprocessing.
- Work with Hugging Face Transformers and Datasets libraries.
- Apply Faiss or similar tools for efficient nearest-neighbor search and retrieval tasks.
- Use Hydra for configuration management.
- Use Weights & Biases or similar tools for experiment tracking.
- Collaborate with team members on shared codebases and remote projects.
- Use Git and GitHub for version control and collaborative development.
- Work on remote servers to develop, test, and deploy machine learning models.
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