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TALPRO INDIA PRIVATE LIMITED

Dev Ops/MLOps Engineer

Posted 9 Hours Ago
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In-Office
Mumbai, Maharashtra
Senior level
In-Office
Mumbai, Maharashtra
Senior level
Build and manage AWS cloud-native and serverless applications, including Lambda, API Gateway, DynamoDB, SQS, ECS/EKS, and related services. Implement CI/CD pipelines and infrastructure as code using AWS CDK, Terraform, and CloudFormation. Support AI/ML workloads, model deployment, monitoring, and lifecycle management. Develop microservices and event-driven architectures, improve scalability and reliability, implement observability, troubleshoot infrastructure and ML pipelines, and follow cloud security and governance practices.
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AWS DevOps / MLOps Engineer
Role Details
  • Experience: 7+ Years

  • Location: Mumbai – Bandra Kurla Complex (BKC)

  • Work Mode: Hybrid (3 days/week from office)

  • Contract Duration: 12 Months (C2H)

  • Budget: Up to ₹1.70 LPM

  • Joining: Immediate Joiners Only

  • Interview Process: In-person interview (mandatory)

Role Overview

We are seeking a skilled AWS DevOps / MLOps Engineer with strong experience in cloud-native development, serverless architectures, and DevOps practices, along with exposure to AI/ML workloads on AWS.

The ideal candidate should have hands-on expertise in building, deploying, and managing scalable applications and ML workflows, with a strong focus on automation, reliability, and performance.


Key Responsibilities
AWS & Cloud Engineering
  • Design, build, and maintain cloud-native applications using AWS serverless services.

  • Work extensively with Lambda, API Gateway, DynamoDB, SQS, Cognito, CloudWatch, S3, and Step Functions.

  • Manage and support AI/ML workloads and pipelines on AWS.

DevOps & MLOps
  • Implement and manage CI/CD pipelines for application and ML deployments.

  • Develop and maintain infrastructure as code (IaC) using:

    • AWS CDK

    • Terraform

    • CloudFormation

  • Support model deployment, monitoring, and lifecycle management.

  • Enable automation across development, testing, and deployment cycles.

Architecture & Development
  • Contribute to microservices and event-driven architectures.

  • Build and support backend/frontend components where required.

  • Ensure system scalability, reliability, and high availability.

Monitoring & Troubleshooting
  • Implement monitoring, logging, and observability solutions.

  • Troubleshoot issues across infrastructure, applications, and ML pipelines.

  • Ensure adherence to cloud security and governance best practices.

Mandatory Skills

✔ Strong hands-on experience with AWS services, including:

  • Lambda, API Gateway, DynamoDB, SQS

  • Cognito, CloudWatch, S3, Step Functions

  • AWS Glue

  • ECS / EKS

✔ Strong experience in DevOps practices and CI/CD pipelines

✔ Experience with MLOps / AI-ML workloads on AWS

✔ Expertise in Infrastructure as Code (CDK / Terraform / CloudFormation)

✔ Strong understanding of microservices and event-driven architecture

✔ Strong troubleshooting and debugging skills

Programming Skills

✔ Proficiency in one or more of:

  • Python

  • Java

  • Golang

  • TypeScript

Preferred Skills
  • Experience with test-driven development (TDD)

  • Familiarity with DevOps tooling ecosystem

  • Experience in scalable distributed systems

  • Exposure to monitoring and observability tools

Soft Skills
  • Strong problem-solving and analytical skills

  • Good communication and collaboration skills

  • Ability to work independently and take ownership

Key Expectations

? Strong AWS + DevOps + MLOps experience is mandatory

? Hands-on exposure to AI/ML workloads on AWS is required

? Candidate must be available for in-person interview in Mumbai (BKC)

? Immediate joiners Only





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