Role & responsibilities

Job Description: MLOps Engineer (4 -5 Years Experience)

Position

MLOps Engineer

Experience

45 Years

Employment Type

Full-Time

Role Overview

We are seeking an experienced MLOps Engineer to build, automate, and manage scalable

machine learning infrastructure and deployment pipelines. The ideal candidate will have

strong experience in CI/CD, containerization, Kubernetes, model lifecycle management,

and cloud-native technologies. You will work closely with Data Scientists, ML Engineers,

Software Engineers, and DevOps teams to operationalize AI/ML solutions from

development to production.

Key Responsibilities

- Design, implement, and maintain end-to-end MLOps pipelines for model training,

validation, deployment, and monitoring.

- Build and manage CI/CD pipelines for ML applications using Jenkins, GitHub

Actions, or similar tools.

- Deploy and manage ML workloads on Kubernetes using containerized

environments.

- Implement and maintain MLflow for experiment tracking, model registry, and model

lifecycle management.

- Develop Infrastructure as Code (IaC) using Terraform or Ansible.
- Automate model deployment using Docker, Kubernetes, and GitOps practices.
- Manage feature, model, and artifact versioning.
- Optimize GPU/CPU resource utilization for training and inference workloads.
- Implement monitoring, logging, and alerting for ML systems.
- Collaborate with data scientists to productionize machine learning models.
- Ensure reproducibility, scalability, security, and governance of ML workflows.




- Troubleshoot production ML systems and optimize deployment performance.

Required Skills

MLOps & ML Platforms

- MLflow (Experiment Tracking, Model Registry)
- Kubeflow (preferred)
- DVC (Data Version Control)
- Feature Store concepts (Feast is a plus)

CI/CD & DevOps

- Jenkins
- GitHub Actions
- GitLab CI/CD (good to have)
- ArgoCD / FluxCD (GitOps)
- SonarQube
- Nexus/Artifactory

Containerization & Orchestration

- Docker
- Kubernetes
- Helm Charts
- Kustomize

Cloud Platforms

Experience in one or more:

- AWS (mandatory)
- Azure
- Google Cloud Platform (GCP)

Hands-on with services such as:

- EKS / AKS / GKE
- S3 / Blob Storage / Cloud Storage
- IAM
- Container Registry
- Secrets Management

Infrastructure Automation

- Terraform
- Ansible
- CloudFormation (good to have)

Programming

- Python (Strong)
- Bash/Shell scripting
- SQL

ML Frameworks

Experience working with one or more:

- PyTorch
- TensorFlow
- Scikit-learn
- Hugging Face Transformers

Monitoring & Observability

- Prometheus
- Grafana
- ELK Stack / OpenSearch
- Loki
- CloudWatch (AWS)

Version Control

- Git
- GitHub
- Git branching strategies

Good to Have





- Experience with Airflow or similar workflow orchestration tools.
- Experience with Ray, KServe, Seldon Core, or BentoML.
- Knowledge of LLMOps, RAG pipelines, vector databases (Pinecone, Milvus,

Weaviate, OpenSearch), and inference servers such as vLLM or NVIDIA Triton.

- Experience deploying models on GPU infrastructure.
- Familiarity with ML security, governance, and Responsible AI practices.
- Experience working in Linux production environments.

Qualifications

- Bachelor's or Master's degree in Computer Science, Information Technology,

Artificial Intelligence, or a related field.

- 4–5 years of experience in DevOps, MLOps, Platform Engineering, or Machine

Learning Infrastructure.

- Proven experience deploying and maintaining production-grade ML systems.
- Strong understanding of software engineering best practices, CI/CD, and cloud

native architectures.

Preferred Certifications

- AWS Certified Solutions Architect / DevOps Engineer
- Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application

Developer (CKAD)

- HashiCorp Terraform Associate
- Docker Certified Associate

What We're Looking For

- Robust problem-solving and troubleshooting skills.
- Ability to work in cross-functional AI engineering teams.
- Passion for automation, scalability, and platform engineering.
- Experience building reliable, secure, and production-ready ML platforms.
- Excellent communication and documentation skills.

📌 machine learning operations (Tamil Nadu)
🏢 IITM PRAVARTAK
📍 Tamil Nadu