ML Ops Engineer

Job Title: ML Ops Engineer

Location:

Pune (Work From Home / Remote)

Experience:

5+ Years

Employment Type:

Full-time

About The Role

We are looking for an experienced

MLOps Engineer

who can design, build, and manage scalable cloud infrastructure to support our machine learning workflows. The ideal candidate will have a strong DevOps background, hands-on expertise in AWS services, and a solid understanding of ML operationalization. This role requires strong ownership, problem-solving skills, and the ability to drive end-to-end infrastructure automation.

Key Responsibilities

Design, implement, and manage

AWS-based cloud infrastructure

for ML and data workloads.Build and maintain

CI/CD pipelines

for ML model training, testing, and deployment.Work extensively with

Docker, Kubernetes

, and container orchestration platforms.Manage and optimize

container runtime environments

; exposure to

ROSA

is an added advantage.Support large-scale ML operations, including GPU-enabled workloads.Develop automation and tooling using

Python, Go, Bash, or Ruby

.Implement and manage

Infrastructure as Code (IaC)

using Terraform, Terragrunt, and Chef.Set up and monitor systems using

Prometheus, Grafana, and the ELK stack

.Assist in scaling infrastructure for distributed systems such as

Elasticsearch, Kafka, HBase, and Spark

.Collaborate closely with data scientists, engineers, and product teams to streamline deployment workflows.Troubleshoot complex issues across the infrastructure, environment, and ML stack.

Required Qualifications & Skills

B.Tech (or equivalent) in

Computer Science

or related field.

5+ years

of hands-on experience in DevOps or MLOps.Strong expertise in

AWS cloud services

.Proficiency with

Docker, Kubernetes

, and container ecosystem.Good understanding of

ML techniques

, Linux systems, GPU workloads, and large-scale deployments.Strong scripting/programming skills in

Python / Go / Bash / Ruby

.Experience with

Terraform, Terragrunt, Chef

for infrastructure automation.Familiarity with monitoring tools like

Prometheus, Grafana, ELK stack

.Knowledge of scaling data infrastructure such as

Elasticsearch, Kafka, HBase, Spark

.Strong analytical, problem-solving, communication, and collaboration skills.

Why Join Us?

Remote-first

work culture.Opportunity to work on cutting-edge ML infrastructure.Collaborative and growth-oriented team environment.Freedom to innovate and implement your ideas.