We are looking for an experienced AI/ML Engineer to design, develop, deploy, and maintain scalable Machine Learning and Generative AI solutions. The ideal candidate should have hands-on experience with production-grade ML systems, MLOps practices, LLM integration, and cloud-native deployments.
Key Responsibilities
- Design, develop, deploy, and maintain production-ready Machine Learning and LLM solutions.
- Build scalable ML pipelines with CI/CD and MLOps best practices.
- Integrate Large Language Models (LLMs) into enterprise applications.
- Develop RAG-based AI solutions using modern LLM frameworks.
- Collaborate with Data Scientists, Data Engineers, and Cloud teams to productionize AI models.
- Monitor model performance, detect model drift, and ensure system reliability.
- Develop REST APIs and support AI application deployment.
- Contribute to ML governance, testing, documentation, and responsible AI practices.
Required Skills
- Robust programming experience in
Python
- Hands-on experience in
Machine Learning
and
MLOps
- Experience with
Large Language Models (LLMs)
and
Generative AI
- Prompt Engineering
- LangChain and/or LangGraph
- Retrieval Augmented Generation (RAG)
- Azure (Preferred), AWS or GCP
- Docker and Kubernetes
- Airflow
- CI/CD using Jenkins, GitHub Actions, or ArgoCD
- SQL and relational databases
- ML model deployment, monitoring, and lifecycle management
- Pytest and ML system testing
📌 AI/ML Engineer (Bengaluru)
🏢 Impetus Career Consultants
📍 Bengaluru
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