ML Engineer — MLOps

Inspired Infotech LLC.; Hyderabad; On-site; INR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Permanent role

Global projects

Growth opportunities

Job summary

Inspired Infotech LLC. in Hyderabad, India, seeks an ML Engineer to translate notebooks into reliable, monitored production systems. You will build training, evaluation and deployment pipelines and deploy models as scalable APIs or batch jobs.

You will bring 3–6 years of ML or software engineering experience, strong Python and ML framework skills, and experience with MLOps tools. This is a permanent, full-time on-site role with opportunities to work on global client projects.

Qualifications

• 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).

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.

Skills

Python

ML frameworks

MLOps

Cloud deployment

Containerization

Tools

MLflow

SageMaker

Azure ML

Kubeflow

Docker

Kubernetes

Job description

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

What you will do

• 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

What you will bring

• 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.