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Peoplefy
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Machine Learning Engineer

Machine Learning Engineer

Peoplefy

7 years

0 Lacs

Pune Maharashtra India

Posted:4 days ago| Platform:

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Skills Required

learning support ai ml model deployment jenkins training kubernetes aws gcp security scalability data devops engineering sagemaker vertex azure python github monitoring logging mlflow drift rollback

Work Mode

On-site

Job Type

Full Time

Job Description

experienced MLOps Engineer

Experience - 7+ years

Location - Pune

Notice Period - Short Joiners

Primary Skills -

Cloud -google cloud preferred but cloud any will do
ML deployment using Jenkins/Harness
Python
Kubernetes
Terraform

Key Responsibilities

Build and manage CI/CD pipelines for ML model training, RAG systems, and LLM workflows
Optimize GPU-powered Kubernetes environments for distributed compute
Manage cloud-native infrastructure across AWS or GCP using Terraform
Deploy vector databases, feature stores, and observability tools
Ensure security, scalability, and high availability of AI workloads
Collaborate cross-functionally with AI/ML engineers and data scientists
Enable agentic AI workflows using tools like LangChain, LangGraph, CrewAI, etc.

What We’re Looking For

4+ years in DevOps/MLOps/Infra Engineering, including 2+ years in AI/ML setups
Hands-on with AWS SageMaker, GCP Vertex AI, or Azure ML
Proficient in Python, Bash, and CI/CD tools (GitHub Actions, ArgoCD, Jenkins)
Deep Kubernetes expertise and experience managing GPU infra
Strong grasp on monitoring, logging, and secure deployment practices

Bonus Points For

🔸 Familiarity with MLflow, Kubeflow, or similar

🔸 Experience with RAG, prompt engineering, or model fine-tuning

🔸 Knowledge of model drift detection and rollback strategies

Ready to take your MLOps career to the next level?

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