As an MLOps Engineer, you'll design, deploy, and maintain production-grade ML workflows across AWS and Azure using container orchestration, IaC, and CI/CD pipelines.

Company: Codvo

Role: MLOps Engineer

Location: Pune, Maharashtra

Experience:

4+ years of experience in DevOps/MLOps roles
Proven deployments on AWS and Azure

Key Skills:

AWS (EKS, ECS, Lambda, SageMaker, ECR)
Azure (AKS, Azure ML, Functions)
Terraform
Docker
Kubernetes (EKS/AKS)
Azure DevOps (ADO)
Jenkins
GitLab CI
Python (FastAPI, Pandas, Scikit-learn)
Node.js
ML Ops: Model deployment, versioning, monitoring

Qualification:

Bachelor's degree in Computer Science, Engineering, or related field

Role Focus:

Architect and implement MLOps pipelines for ML model training, versioning, deployment, and monitoring
Build and manage Infrastructure as Code (IaC) with Terraform for multi-cloud environments
Design containerized applications with Docker and orchestrate them on Kubernetes (EKS/AKS)
Develop CI/CD pipelines using Azure DevOps (ADO), GitHub Actions, AWS CodePipeline, or Azure Pipelines
Create and optimize edge API applications for low-latency inference
Implement observability with Prometheus, Grafana, CloudWatch, Azure Monitor, and alerting
Collaborate with data scientists and DevOps teams to productionize AI solutions, troubleshoot issues, and scale for high workloads
Write clean, production-ready code in Python, Node.js, and Bash

Nice to have:

Certifications: AWS Certified Machine Learning – Specialty, Azure AI Engineer Associate, CKA/CKAD, Terraform Associate
Experience with vector databases (Pinecone, FAISS), serverless ML, or GenAI fine-tuning
Knowledge of React.js for dashboarding ML metrics

Other:

Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day
Product innovation and mature software engineering are part of our core DNA

MLOps Engineer

Skills Required

Description