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ML Ops Engineer

ML Ops Engineer

Name: Jobpe
Address: T-Hub, Plot No 1/C, Sy No 83/1, Raidurgam panmaktha, Knowledge City Rd, Hyderabad, Telangana, 500081, IN
Telephone: +91-83339-09630
Price range: Free

Futops

5 - 10 years

2 - 6 Lacs

new delhi gurugram

Posted:8 hours ago| Platform:

Apply

Skills Required

computer science automation orchestration linux analytical machine learning ruby distribution system python hbase

Work Mode

Work from Office

Job Type

Full Time

Job Description

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.

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ML Ops Engineer

Experience & Salary

Skills Required

Work Mode

Job Type

Job Description

About the Role

MLOps Engineer

Key Responsibilities

AWS-based cloud infrastructure

CI/CD pipelines

Docker, Kubernetes

container runtime environments

ROSA

Python, Go, Bash, or Ruby

Infrastructure as Code (IaC)

Prometheus, Grafana, and the ELK stack

Elasticsearch, Kafka, HBase, and Spark

Required Qualifications Skills

Computer Science

5+ years

AWS cloud services

Docker, Kubernetes

ML techniques

Python / Go / Bash / Ruby

Terraform, Terragrunt, Chef

Prometheus, Grafana, ELK stack

Elasticsearch, Kafka, HBase, Spark

More Jobs at Futops

ML Ops Engineer

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