Job Summary

Take machine-learning and LLM models from notebooks to reliable, monitored production systems.

Responsibilities

- Build training, evaluation and deployment pipelines
- Implement model versioning, registries and CI/CD for models
- Deploy models as scalable APIs or batch jobs
- Monitor drift, quality and cost in production
- Collaborate with data scientists and platform teams

Requirements

- 3-6 years of ML engineering or software engineering experience
- Strong Python and ML framework experience
- Experience with MLOps tools (MLflow, SageMaker, Azure ML or Kubeflow)
- Containerisation and cloud deployment experience

Nice to have

- LLMOps experience
- Spark or Databricks
- Feature stores

Tech stack

- Python
- PyTorch
- MLflow
- Amazon SageMaker
- Azure Machine Learning
- Kubeflow
- Docker
- Kubernetes





What we offer

- A permanent, full time role
- Enterprise projects for clients in the US and worldwide
- Hands-on work across AI, cloud and modern engineering
- A friendly, collaborative team
- Clear paths for professional growth

Work authorization

This role is based in Hyderabad, India. Applicants must be legally eligible to work in India.

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.

📌 ML Engineer - MLOps (Hyderabad)
🏢 Inspired Infotech
📍 Hyderabad