MLOps Engineer

Hiring for Our Client : MLOps Engineer (4-7 Yrs Exp)

Location : Bangalore (Work from office - 4 days / week)

Job Type : Full-Time

One of our esteemed clients in the AI / Data Science space is looking to onboard a skilled MLOps Engineer who can take ownership of deploying, monitoring, and optimizing machine learning models in production environments.

Key Responsibilities :

1. Build and manage CI / CD pipelines for machine learning workflows

2. Collaborate with Data Scientists to develop scalable ML deployment strategies

3. Automate data / model validation, retraining, and performance monitoring

4. Monitor model performance, data drift, and ensure production reliability

5. Integrate ML models with APIs and production services

6. Manage containerized applications using Docker and Kubernetes

7. Implement best practices in version control, reproducibility, and model logging

Required Experience (4-7 Years) :

1. Strong hands-on experience with ML Monitoring and Performance Metrics

2. Model Deployment, Optimization, and Pipeline Automation

3. Proficient in Python and PySpark

4. Experience with CI / CD tools like Jenkins, GitHub Actions, etc.

5. Familiarity with cloud platforms - AWS, GCP, or Azure

6. Worked with ML platforms such as MLflow, Kubeflow, or SageMaker

Preferred Skills :

1. Knowledge of Terraform or other infrastructure-as-code tools

2. Understanding of ETL / data engineering workflows

3. Experience with monitoring tools like Prometheus, Grafana, etc.

(ref : hirist.tech)