AI/ML Engineer
ISHIR (company site, opens in a new tab)3–6 yrsOn-siteDirect career pageEst. 10–20 LPA
Posted 18h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, train, fine-tune and deploy machine learning and Generative AI solutions including LLM-powered and RAG-based systems for real-world business use cases.
- Build and maintain end-to-end production-grade AI/ML pipelines covering data ingestion, model development, inference, deployment, and monitoring with MLOps best practices (CI/CD, model versioning, lifecycle management).
- Optimize AI models and applications for accuracy, latency, scalability, cost efficiency, and implement evaluation, guardrails, observability for production AI systems.
Minimum Requirements
- 3–6 years of hands-on experience in Machine Learning Engineering or related roles.
- Strong programming skills in Python with expertise in machine learning/deep learning frameworks (PyTorch, TensorFlow, scikit-learn).
- Experience with Generative AI, LLM applications, including fine-tuning, prompt engineering, RAG architectures, vector databases, and semantic search.
- Working knowledge of at least one major cloud ML platform: AWS SageMaker, Azure ML, or Google Cloud Vertex AI.
Ideal Candidate Profile
- Experienced AI/ML engineer with demonstrated ability to deliver end-to-end Generative AI solutions from prototype to production in a remote/offshore setting.
- Technical depth in LLM fine-tuning, prompt/context engineering, vector-based retrieval systems, and MLOps pipeline automation.
- Pragmatic problem solver who balances model accuracy, performance, scalability, and cost while collaborating cross-functionally to translate business needs into scalable AI solutions.