NLP Full Stack Data Scientist

Design, build, and deploy AI/ML-powered applications from concept through production with scalable backend and frontend components.

Develop and productionize LLM-powered features like retrieval-augmented generation, agentic workflows, and model evaluation frameworks.

Build and maintain cloud-based, secure, observable systems including MLOps and CI/CD pipelines with defined service-level objectives for performance and cost.

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or related field.

Experience in developing and deploying machine learning or AI-powered applications.

Strong programming skills in Python and building production APIs/backend services using FastAPI, Flask, Django, or similar.

Work Experience Required: Not explicitly mentioned in the JD.

Proficient in full stack development with proven ability to integrate AI/ML models into scalable production systems.

Experienced in cloud platform deployment and operationalizing AI models with strong knowledge of software engineering best practices.

Capable of engaging in technical design discussions and mentoring peers on AI/ML engineering and architecture.