About this Role
* We are seeking a skilled Machine Learning Specialist to design, train, fine-tune and deploy models that drive business outcomes.
* The ideal candidate will have expertise in ML/LLM model development, deployment, and maintenance, with experience in building RAG pipelines using vector databases and frameworks like LangChain, LangGraph, and MCP.
* Strong knowledge of prompt engineering, optimization, and safety techniques for agentic LLM interactions is essential.
* Collaboration with data engineering teams to maintain data pipelines for ML workloads is also required.
* Additional responsibilities include feature engineering and embeddings generation on structured and unstructured data, as well as implementing model monitoring, drift detection, and retraining pipelines.
* The successful candidate will also explore emerging LLM/SLM architectures and multi-agent orchestration patterns, and collaborate cross-functionally with R&D, data science, product, and engineering teams.
Key Responsibilities:
* Model Development: Design, train, fine-tune, and deploy ML/LLM models for production.
* RAG Pipeline Development: Build RAG pipelines using vector databases and frameworks such as LangChain, LangGraph, and MCP.
* Prompt Engineering: Develop prompt engineering, optimization, and safety techniques for agentic LLM interactions.
* Data Engineering: Collaborate with data engineering to maintain data pipelines for ML workloads.
* Feature Engineering: Conduct feature engineering and embeddings generation on structured and unstructured data.
* Model Monitoring: Implement model monitoring, drift detection, and retraining pipelines.
* Architectural Research: Explore emerging LLM/SLM architectures and multi-agent orchestration patterns.