Key Responsibilities Include Designing, Training, Fine-tuning, and Deploying ML/LLM Models for Production.
Machine Learning Engineer Role
* Design, Train, Fine-tune, and Deploy ML/LLM Models: Develop cutting-edge models that power autonomous exception resolution, anomaly detection, and explainable insights.
* Build RAG Pipelines: Utilize vector databases and frameworks like LangChain, LangGraph, and MCP to create robust pipelines.
* Prompt Engineering and Optimization: Develop techniques for agentic LLM interactions, ensuring optimal performance and safety.
Required Qualifications:
Applicants Must Possess the Following:
* Bachelor's or Master's Degree in Computer Science, Data Science, Machine Learning, or a Related Field.
* Minimum 3 Years of Experience Building and Deploying ML Systems.
* Advanced English Proficiency (B2).
* Strong Python Skills and Experience with PyTorch, TensorFlow, Scikit-Learn, Hugging Face Transformers.