Senior MLOps Engineer

SeniorMLOpsEngineer

Location:India Job Type:Full-time Remote Experience Level:Senior

About the Role

We are looking for aSeniorMLOpsEngineerto design build and operate production-grade infrastructure and pipelines for Machine Learning (ML) Deep Learning and Generative AI (GenAI) solutions. Your primary focus is ensuring these systems are reliable scalable observable and secure across the full lifecycletraining deployment monitoring and retraining.

This is a senior hands-on role at the intersection of ML engineering and cloud/platform reliability. You will take ownership of architectural decisions drive engineering standards and mentor more junior engineers. WhileMLOpsis the top priority there is room to contribute to AI solution implementation (model integration/experimentation) where bandwidth allows. You will work closely with AI engineers DevOps and the Data & AI Architect to standardize and scale repeatable production patterns.

Key Responsibilities

• Design implement and maintain end-to-end ML pipelines covering training validation deployment monitoring and retraining with a focus on production reliability and long-term maintainability.

• Own and operate production ML infrastructure using Infrastructure as Code (IaC) making architecturaltradeoffsand enforcing best practices.

• Lead CI/CD practices 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 robust model observability: performance monitoring data quality checks drift detection alerting and dashboards.

• Drive compute and cost optimization for training and inference (scaling policies capacity planning cost/performancetradeoffs).

• 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.

• Collaborate with and mentor AI engineers; contribute to model development/experimentation as capacity allows.

Requirements

• 5 yearsof experience inMLOps ML engineering platform engineering or a closely related role with at least 2 years in a senior or lead capacity.

• Strong proficiency in Python for ML workflows automation and pipeline development.

• Hands-on experience building and operating ML systems onAzure(OCI exposure is a plus).

• Proven track record of owning production-gradeMLOpspipelines end-to-end (training deployment monitoring retraining) with measurable reliability or efficiency outcomes.

• Strong experience with Infrastructure as Code (Terraformor equivalent).

• Experience withMLOpstooling such asMLflow(or equivalent experiment tracking) and CI/CD pipelines.

• Experience containerizing services usingDockerin production environments.

• Hands-on experience deploying and monitoring services on Azure using Azure App Service Azure Container Apps and Application Insights.

• Solid understanding of GenAI/LLM-based systems (inference workflows embeddings retrieval/RAG components) and their operational considerations.

• Strong communication and collaboration skills; comfortable working across functions and influencing technical decisions without direct authority.

Nice to Have

• Experience with orchestration tools such as Apache Airflow 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.

• Prior experience mentoring engineers or leading technical initiatives across teams.

• 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 400000 per annum
• Company Paid Group Personal accidental insurance for employees of INRper 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

About the Company

We are a global team of innovators and advocates transforming how financial data is captured stored and manipulated with our comprehensive suite of automation technology. Our platform seamlessly integrates with your existing ERP for an unrivaled end-user experience. We do the heavy lifting so accounting procurement and fundraising teams can do their best work.

PairSofts aspires to be the strongest procure-to-pay platform for the mid-market and enterprise with close integration to Microsoft Dynamics Blackbaud Oracle SAP Acumatica and Sage ERPs.

At PairSoft we are passionate about innovation transparency diversity and advocating on behalf of our customers and communities we support. We offer exciting career opportunities and a collaborative culture that allows individuals to learn grow and create meaningful impact. We are expanding and seeking team players who are eager to jump in and contribute to our rapid growth!

PairSoft is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability gender identity veteran status or any other protected status. We also consider qualified applicants regardless of criminal histories consistent with legal requirements. If you have a disability or special need that requires accommodation please email us at:

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