Machine Learning Engineer
Tasks
- Apply reinforcement learning for end to end solutions
- Build model evaluation and benchmarking pipelines
- Design data ingestion transformation and labeling pipelines
- Develop and fine tune LLMs for domain tasks
- Ensure reproducible data loops for iterative development
- Integrate AI solutions into production systems
- Optimize LLMs for industrial real world use
- Orchestrate multi model agentic workflows
Perks/Benefits
Skills/Tech-stack
Agentic Workflows | Benchmarking | C# | C++ | Code Interpreter | Data Pipelines | Data Versioning | Data labeling | Fine Tuning | Function Calling | Information Retrieval | Java | Language Models | Language Processing | Large Language Models | Model Evaluation | Natural Language | Natural Language Processing | PyTorch | Python | R | Reinforcement Learning | Retrieval-Augmented Generation | TensorFlow | Tool usage
Education
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