Data Scientist I

Implement and deploy generative AI models and advanced solutions such as Retrieval-Augmented Generation (RAG) and LangChain for AML transaction monitoring use cases.

Develop and maintain machine learning pipelines for fine-tuning large language models and implement content generation systems across text, image, and multimodal data.

Build observability, monitoring, and scalable cloud-based solutions (AWS, Azure, Databricks) ensuring AI system performance, security, and compliance integration.

Bachelor’s or Master’s Degree in Computer Science or equivalent.

Strong proficiency in Python and AI/ML frameworks like PyTorch or TensorFlow.

Experience with generative AI models, RAG pipelines, MCP integrations, and deployment in production environments.

Work Experience Required: Not explicitly mentioned in the JD.

Expertise in building, fine-tuning, and evaluating generative AI models with knowledge of hallucination detection, bias checks, and model performance metrics.

Familiarity with MLOps, CI/CD practices, API development, and integrating AI models into web or mobile applications.

Experience working in fast-paced, high-impact environments with ability to collaborate across technical and non-technical teams.