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Jaipur · Remote · 5-8 Yrs · Oct 8
1 views
Unknown · Bengaluru, India
20 open roles2 posted in 7d20 in 30d
Work-life balance 4.5Compensation & benefits 4.0Culture & values 4.5
Hiring: Engineering
What employees say
+ Good company to work for
− Great place if you are a performed
More reviews on the company profile.
Job description
Remote
Overview
Role : ML OPS Lead Engineer
Responsibilities
- Design, deploy, and manage scalable, secure, and high-performing cloud-based infrastructures across Azure and AWS.
- Lead end-to-end ML Ops lifecycle, including model deployment, monitoring, retraining, and CI/CD integration.
- Collaborate with AI/ML, Data Science, and DevOps teams to automate model lifecycle management and streamline ML workflows.
- Architect and implement governance, compliance, observability, and security frameworks for ML and GenAI systems.
- Drive innovation in Generative AI and Agentic AI ecosystems, integrating services like Azure OpenAI, Bedrock, Anthropic Claude, and OpenAI API.
- Implement infrastructure-as-code (IaC) practices using Terraform, Bicep, ARM, or CloudFormation.
- Manage networking, IAM, and security configurations across Azure and AWS environments.
- Establish monitoring, alerting, and performance dashboards using Grafana, Prometheus, Azure Monitor, and Log Analytics.
Qualifications
- Notice Period : Immediate / 10 to 15 Days
- 7+ years in platform or infrastructure engineering with significant
- experience in ML Ops, AI, and Cloud (Azure & AWS).
- Azure: Azure AI Services, Azure Search, Azure ML, Databricks, AKS, Azure AI Foundry, Azure AI Hub.
- AWS: SageMaker, Bedrock, Lambda, ECS, CDK, CloudFormation.
- Exposure to Generative and Agentic AI ecosystems (Azure OpenAI, Bedrock, Claude, LlamaCloud, LangChain).
- Understanding of token usage, prompt injection, jailbreak risks, and mitigation methods.
- Hands-on experience with Python ML libraries (TensorFlow, PyTorch, Scikit-learn).
- Strong experience with Azure DevOps / AWS CodePipeline for CI/CD setup and management.
- Familiarity with Docker, Kubernetes, and container orchestration.
- Knowledge of IaC tools (Terraform, ARM/Bicep, CloudFormation).
- Azure Blob Storage, Cosmos DB, SQL, Key Vault, Data Lake Storage.
- AWS S3, DynamoDB, RDS, Redshift, Aurora.
- Understanding of OLTP and OLAP systems.
- Proficiency in DNS, VPNs, Load Balancing, VNets, IAM, and access control (RBAC, SCP, Azure Policy).
- Familiarity with Microsoft AD and principles of least privilege.
- Hands-on with KMS, Key Vault, and identity governance best practices.
- Build and optimize end-to-end ML workflows for production environments.
- Implement drift monitoring, model retraining, and technical & business validation processes.
- Collaborate with data scientists for model deployment and performance optimization.
- Familiarity with Azure Bot Framework, APIM, Application Gateway.
- Exposure to M365 Copilot and related ecosystem tools.
- Proficiency with AWS Python SDK (Boto3) and AWS CDK.
- Implement unit and integration testing in CI/CD workflows (preferably using ADO).
- Ensure testing and validation coverage for ML pipelines and infrastructure deployments.
Nice to have
- Bachelor s or Master s in Computer Science, Information Technology, or related field.
- Certification(s) in Azure AI Engineer, AWS Machine Learning Specialty, or DevOps highly desirable.
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Job application FAQ
Last updated 27 October 2026
- How do I apply for (ML OPNS Lead)Machine Learning Operations Lead Engineer at Epergne Solutions?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Epergne Solutions may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this (ML OPNS Lead)Machine Learning Operations Lead Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is (ML OPNS Lead)Machine Learning Operations Lead Engineer remote or on-site in Jaipur, Rajasthan?
- This listing is marked remote with location Jaipur, Rajasthan. Confirm details on the job description before applying.
- What skills matter for this (ML OPNS Lead)Machine Learning Operations Lead Engineer role at Epergne Solutions?
- This is a lead (ML OPNS Lead)Machine Learning Operations Lead Engineer role. Key skills include Remote. Feedback AI highlights matched vs missing skills on your profile after signup.