Job Summary

Design, deploy and operationalise production-grade AI, ML and Generative AI systems, including LLM-powered enterprise applications.

Role Overview
Build end-to-end AI/ML solutions spanning data pipelines, model development, deployment and monitoring.
Develop scalable LLM-powered applications that integrate reliably with business workflows.

Key Responsibilities
Design and deploy machine learning, deep learning, NLP and Generative AI systems.
Build RAG pipelines, semantic search, embeddings and vector-database integrations.
Create REST APIs, model-serving layers, CI/CD pipelines and automated retraining workflows.
Deploy and optimise systems using Docker, Kubernetes, serverless services and AWS or GCP.

Required Skills
4+ years in Python, ML engineering, data science engineering or MLOps roles.
Solid Python, SQL, data structures,



REST APIs and feature-engineering fundamentals.
Hands-on experience with Scikit-learn and TensorFlow or PyTorch.
Experience with model monitoring, versioning, PostgreSQL or MongoDB and production system design.

Preferred
Experience with LangChain or LlamaIndex, MLflow or Weights & Biases.
Exposure to FastAPI, Flask, Django, BentoML or TorchServe.
FinTech, SaaS or rapid-growing AI company experience is preferred.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Ai/ml Engineer / Genai Engineer Noida (India)
🏢 Novel Patterns
📍 India