MLOps Engineer
PairSoft View all jobs
- Ahmedabad, Gujarat
- Permanent
- Full-time
- Design, implement, and maintain end-to-end pipelines covering training, validation, deployment, monitoring, and retraining.
- Build and operate production ML infrastructure using Infrastructure as Code (IaC).
- Implement and manage CI/CD for ML, including artifact/model versioning, promotion, rollout/rollback, and dev/test/prod parity.
- Deploy and run ML/GenAI workloads on Azure using Azure App Service and Azure Container Apps, with monitoring via Application Insights.
- Implement model observability: performance monitoring, data quality checks, drift detection (where applicable), alerting, and dashboards.
- Optimize compute and cost for training and inference (scaling policies, capacity planning, cost/performance tradeoffs).
- Support GenAI operational needs, including LLM inference patterns, embeddings, and retrieval pipelines; enable hooks for evals/guardrails where required.
- Ensure ML systems meet security and governance requirements (RBAC/least privilege, secrets management, audit logging, encryption, secure access patterns).
- Partner with the Data & AI Architect to translate architecture standards into reusable pipeline templates and operational controls.
- Partner with AI engineers to productionize solutions and improve reliability and scalability; contribute to model development/experimentation as capacity allows.
- 3+ years of experience in MLOps, ML engineering, platform engineering, or a closely related role.
- Strong proficiency in Python for ML workflows, automation, and pipeline development.
- Hands-on experience building and operating ML systems on Azure (OCI exposure is a plus).
- Proven experience building production-grade MLOps pipelines end-to-end (training → deployment → monitoring → retraining).
- Strong experience with Infrastructure as Code (Terraform or equivalent).
- Experience with MLOps tooling such as MLflow (or equivalent experiment tracking) and CI/CD pipelines.
- Experience containerizing services using Docker in production environments.
- Hands-on experience deploying and monitoring services on Azure using Azure App Service, Azure Container Apps, and Application Insights.
- Familiarity with GenAI/LLM-based systems (inference workflows, embeddings, retrieval/RAG components) and operational considerations.
- Strong communication skills and ability to collaborate in a fast-paced, cross-functional environment.
- Experience with orchestration tools such as Apache Airflow (open-source) or Azure-native alternatives (Azure Data Factory / Azure ML pipelines).
- Experience with feature stores and/or real-time inference patterns.
- Exposure to multi-cloud architectures
- Opportunity to grow your career with a rapidly growing organisation.
- Exposure to working with a Microsoft gold partner organization with the latest technologies.
- People first organisation culture
- Company Paid Group Mediclaim Insurance for employee, spouse and up to 2 Kids of INR 400,000 per annum
- Company Paid Group Personal accidental insurance for employees of INR 1,000,000 per annum.
- Company Paid & Manager approved Career Advancement Opportunities
- Best in the Industry referral bonus policy.
- 29 Paid leaves throughout the year
- Company-paid Maternity leaves for female employees