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, compliance 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 security and compliance standards are met.
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 fullstack AI/ML applications.
Proficient in Python (especially for ML with libraries such as TensorFlow, PyTorch, scikit-learn) and backend frameworks (FastAPI, Django, Flask).
Experience with frontend frameworks: 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 (Pinecone, Weaviate, FAISS).
Excellent communication skills and experience working cross-functionally.

Please refer the Job description for details