MLOps Engineer
11 hours ago
Job Title:
MLOps Engineer
Location:
Chennai/Hyderabad
Experience:
5 – 12 Years
Notice Period:
Immediate to 30 Days
Job Description
We are seeking an experienced
MLOps Engineer
to design, implement, and maintain scalable machine learning pipelines and infrastructure. The role requires a strong understanding of ML lifecycle management, CI/CD for ML models, and cloud platforms to ensure seamless integration between data science and production environments.
Key Responsibilities
- Build, deploy, and manage
 end-to-end ML pipelines
 from experimentation to production.
- Develop and maintain
 CI/CD workflows
 for ML models.
- Automate training, testing, monitoring, and retraining processes.
- Manage
 model versioning, deployment, and scaling
 in production environments.
- Ensure
 observability, logging, and monitoring
 for ML models and pipelines.
- Collaborate with data scientists, data engineers, and software engineers to deliver robust ML solutions.
- Optimize cost, performance, and reliability of ML infrastructure.
Required Skills
- Strong proficiency in
 Python
 and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Hands-on experience with
 CI/CD tools
 (GitHub Actions, Jenkins, GitLab CI/CD, Argo).
- Proficiency in
 Docker, Kubernetes, and container orchestration
 .
- Experience with
 cloud platforms
 (AWS Sagemaker, Azure ML, GCP Vertex AI).
- Knowledge of
 ML model monitoring, logging, and A/B testing
 .
- Understanding of
 data pipelines, ETL, and feature stores
 .
- Strong problem-solving and debugging skills.
Good to Have
- Experience with
 infrastructure as code (IaC)
 using Terraform/CloudFormation.
- Exposure to
 data versioning tools
 like DVC, MLflow, or Kubeflow.
- Knowledge of
 security and compliance
 in ML systems.
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