DESCRIPTION

Design, develop, and deploy end-to-end AI/ML-powered features and applications using Python and modern frameworks.
Build, integrate, and maintain machine learning models/solutions—from data pipelines to API deployment and user-facing delivery.
Collaborate with product managers, domain experts, and engineers to translate business needs into intelligent technologies.
Build robust backend systems and APIs (e.g., FastAPI, Django, Flask) to support AI-driven workflows.
Develop user-friendly frontend interfaces (e.g., React, TypeScript) that surface ML insights and drive engagement.
Lead the development, evaluation, and monitoring of models (LLMs, predictive/classification, agentic workflows), ensuring alignment with security and compliance standards.
Implement best practices for MLOps, including CI/CD, automated testing, model versioning, and data validation.
Architect integrations with vector databases, cloud platforms, and retrieval-augmented generation systems.

QUALIFICATIONS

3+ years of production experience delivering full-stack AI/ML applications.
Proficient in Python (especially for ML using libraries like TensorFlow, PyTorch, scikit-learn) and backend frameworks (FastAPI, Django, Flask).
Experience with frontend frameworks such as React, Vue, or Angular.
Practical expertise in building and scaling ML models (LLMs, NLP, classification) and deploying them as APIs/services.
Strong skills in MLOps: containerisation (Docker, Kubernetes), cloud deployment (AWS, GCP, Azure), and CI/CD.
Experience with prompt engineering, LLM evaluation, and vector databases (e.g., Pinecone, Weaviate, FAISS).
Excellent communication skills and experience working cross-functionally.

Please refer the Job description for details