ML Engineer - MLOps

Inspired Infotech LLC.; Hyderabad; Presencial; INR 1 800 000 - 3 200 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Permanent full-time role

Enterprise projects for clients in the

Hands-on work across AI, cloud and

Friendly, collaborative team

Clear paths for professional growth

Resumo da oferta

Inspired Infotech LLC. is seeking an ML Engineer to take machine-learning and LLM models from notebooks to reliable, monitored production systems. You will build training, evaluation and deployment pipelines and collaborate with data scientists and platform teams.

Responsibilities include implementing model versioning, registries and CI/CD for models, deploying models as scalable APIs or batch jobs, and monitoring drift, quality and cost in production.

Qualificações

• 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.

Responsabilidades

• 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

Conhecimentos

Python

ML frameworks

MLOps

Containerization

Cloud deployment

Ferramentas

MLflow

SageMaker

Azure ML

Kubeflow

Docker

Kubernetes

Descrição da oferta de emprego

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.