MLOps Engineer

TymblHub; Bengaluru; Sur place; INR 1 500 000 - 2 600 000; Plein temps

Résumé du poste

Infosys in Bengaluru is seeking an MLOps Engineer to design, build, and maintain scalable ML pipelines and LLM-powered agents. You will deploy models on AWS Bedrock, SageMaker, and LangGraph, integrate OpenAI APIs, and ensure guardrails for responsible AI while collaborating with data scientists and developers.

The role emphasizes production ML workflows, containerized apps with Docker/Kubernetes, and IaC using Terraform or CloudFormation. Strong Python experience is required.

Qualifications

• Strong Python scripting and ML workflow automation.
• Experience deploying ML models in production using MLOps on AWS.
• Hands-on with CI/CD for ML model deployment and infra as code.

Responsabilités

• Design, build, and maintain scalable MLOps and DevOps solutions on AWS.
• Develop and manage CI/CD pipelines for ML model deployment and application releases.
• Automate infrastructure provisioning using IaC tools; deploy and monitor ML models in production.

Connaissances

Python

LangGraph

LangChain

Bedrock

SageMaker

OpenAI integration

LLM fine-tuning

W&B

AWS

Docker

Kubernetes

Terraform

CloudFormation

Jenkins

GitHub Actions

GitLab CI/CD

Azure DevOps

TensorFlow

PyTorch

FAISS

Pinecone

OpenSearch

Outils

Docker

Kubernetes

MLflow

Kubeflow

SageMaker

GitHub Actions

GitLab CI/CD

Terraform

CloudFormation

Description du poste

# MLOps EngineerInfosysPosted on October 23, 2026---Job LocationBengaluru / Bangalore, IndiaVacancy1DesignationMLOps EngineerJob TypeONSITE---## Job Description## Job SummaryDesign, deploy ML pipelines and LLM-powered agents (RAG, Agentic AI) using **AWS Bedrock**, **SageMaker**, and **LangGraph**. Develop, train, and productionize ML models (churn, recommendation, forecasting) with MLOps practices. Build RAG architectures, integrate LLM APIs, prompt engineering, and responsible AI guardrails.**Key Skills & Technologies:** Strong Python, Scikit-learn, TensorFlow, PyTorch, hands-on SageMaker, vector DBs (FAISS, Pinecone, OpenSearch). Must have **Python**, **LangGraph**, **LangChain**, **Bedrock**, **OpenAI integration**. Nice to have: LLM fine-tuning, LangSmith, W&B, AWS ML Specialty.## Job DescriptionWe are seeking a skilled professional to design, build, and maintain scalable MLOps and DevOps solutions on AWS, bridging the gap between data science and production infrastructure.## Key Responsibilities* Design, build, and maintain scalable MLOps and DevOps solutions on AWS* Develop and manage CI/CD pipelines for ML model deployment and application releases* Automate infrastructure provisioning using Infrastructure as Code (IaC) tools* Deploy, monitor, and optimize machine learning models in production environments* Manage containerized applications using Docker and Kubernetes* Implement model versioning, experiment tracking, and monitoring frameworks* Ensure security, reliability, and high availability of cloud infrastructure* Collaborate with Data Scientists, ML Engineers, and Development teams to operationalize ML workflows* Troubleshoot deployment, performance, and infrastructure-related issues## Requirements* Strong experience with **AWS Cloud Services** (EC2, S3, Lambda, IAM, EKS, ECS, CloudWatch, SageMaker)* Hands-on experience with MLOps tools such as **MLflow**, **Kubeflow**, **SageMaker**, or **Vertex AI*** Experience in DevOps tools including **Jenkins**, **GitHub Actions**, **GitLab CI/CD**, or **Azure DevOps*** Proficiency in **Python** scripting and automation* Expertise in **Docker** and **Kubernetes*** Knowledge of Infrastructure as Code tools such as **Terraform** or **CloudFormation*** Experience with monitoring tools like **CloudWatch**, **Prometheus**, and **Grafana*** Strong understanding of **Linux systems** and networking concepts* Experience with **Git** version control## Preferred Skills* Technology: AI - AI Engineering - MLOps* Technology: AI - Data Science - PYTHON (AI - Data Science)* Technology: DevOps - Amazon Web Services DevOps* LLM fine-tuning* LangSmith* Weights & Biases (W&B)* AWS Certified Machine Learning - SpecialtyAbout the company## InfosysIT Services & Consulting · Indian MNCInfosys is a global leader in next-generation digital services and consulting.Bengaluru/Bangalore, Karnatakainfosys.com