AI / Machine Learning Engineer

Key Responsibilities

• Develop, train, fine-tune, and optimize ML/DL models for NLP, Computer Vision, and Generative AI.
• Build RAG pipelines using embeddings and vector databases.
• Work with LLMs, Transformers, GANs, VAEs, and Diffusion models.
• Design end-to-end ML pipelines (data preprocessing, feature engineering, evaluation).
• Deploy models using FastAPI, AWS, and scalable architectures.
• Integrate AI solutions via REST APIs and microservices.
• Collaborate with engineering and product teams on AI-driven solutions.

Requirements

• Bachelor’s or Master’s degree in CS, AI/ML, Data Science, or related field.
• 5+ years of hands-on experience in ML/DL, NLP, or LLM systems.
• Graduated in 2021 or earlier (mandatory).
• Strong knowledge of algorithms, model optimization, and production deployment.

Skills

• Python
• ML/DL: Supervised & Unsupervised ML, NLP, CV, RAG, LLMs
• Frameworks: PyTorch, TensorFlow, scikit-learn, HuggingFace, LangChain
• APIs & Deployment: FastAPI, REST APIs
• Cloud: AWS (S3, EC2, Lambda, SageMaker) (Mandatory)
• Tools: Vector DBs (FAISS, Pinecone), ETL, Kafka, Airflow
• DevOps: CI/CD, Microservices, Agile
• Good to Have: Basic React

Job Types: Full-time, Permanent

Pay: ₹400,000.00 - ₹600,000.00 per year

Benefits:

• Provident Fund

Work Location: In person