Machine Learning Operations Site Reliability Engineer
Persistent Systems · Data_Int_ Google APAC
Apply ↗Skills
["Machine Learning""LLMOps"]Technology stack
{}Description
About Persistent We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem. Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We reported $1,654.4M FY26 revenue with 17.4% Y-o-Y growth. We have delivered 24 sequential quarters of growth with $436.0M in Q4 FY26 revenue, up 3.2% Q-o-Q and 16.2% Y-o-Y growth. Our 27,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been recognized as the Fastest Growing IT Services Brand Globally in the 2026 Brand Finance IT Services 25 Report. We named a Leader in the Everest Group Private Equity (PE) Services PEAK Matrix® Assessment 2026 and Software Product Engineering PEAK Matrix® Assessment 2026. About Position: We are seeking a skilled Machine Learning Operations Site Reliability Engineer (SRE) to join our growing AI and Engineering team. In this role, you will be responsible for designing, implementing, and managing robust MLOps and LLMOps platforms that support the complete machine learning lifecycle, from model development to production deployment, monitoring, and optimization. Role: Machine Learning Operations Site Reliability Engineer Location: Bangalore Experience: 5 to 8 Years Job Type: Full-Time Employment What You'll Do: Design, implement, and maintain enterprise-grade MLOps and LLMOps pipelines for AI and machine learning workloads. Build secure, scalable, and reproducible model development, testing, deployment, and monitoring frameworks. Support the operationalization of machine learning models and Large Language Model (LLM)-based applications. Develop and manage Agentic AI and Retrieval-Augmented Generation (RAG) applications in production environments. Implement CI/CD and CT (Continuous Training) pipelines for machine learning models and AI solutions. Establish observability frameworks for monitoring model accuracy, latency, drift, performance, availability, and reliability. Conduct model benchmarking, load testing, and performance optimization activities. Implement security controls, governance standards, and compliance requirements across AI platforms. Automate infrastructure provisioning, deployment, monitoring, and operational workflows. Support application lifecycle management across development, testing, staging, and production environments. Monitor platform health and proactively identify potential risks, bottlenecks, and reliability issues. Troubleshoot production incidents and participate in root cause analysis activities. Create and maintain technical documentation, architecture guidelines, operational runbooks, code samples, and implementation blueprints. Collaborate with Data Scientists, ML Engineers, Security Teams, and Platform Architects to deliver reliable AI solutions. Drive platform improvements focused on scalability, resiliency, operational efficiency, and automation. Implement best practices for model lifecycle management, versioning, governance, and auditability. Expertise You'll Bring: 5-8 years of experience in Machine Learning Operations, Site Reliability Engineering, DevOps, Platform Engineering, or related domains. Strong hands-on experience with MLOps and Machine Learning lifecycle management. Experience designing and implementing scalable AI/ML deployment pipelines. Strong understanding of LLMOps concepts and deployment of Generative AI applications. Experience supporting production AI/ML platforms and mission-critical workloads. Knowledge of model versioning, experiment tracking, model registry, and governance frameworks. Experience implementing observability, logging, monitoring, tracing, and alerting solutions for AI applications. Strong understanding of security, compliance, and responsible AI practices. Experience with performance benchmarking, model evaluation, and optimization techniques. Hands-on expertise with automation frameworks and infrastructure management. Strong programming experience in Python and automation scripting. Experience with containerization technologies such as Docker. Hands-on experience with Kubernetes and container orchestration platforms. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform. Understanding of CI/CD practices, Infrastructure as Code, and DevOps methodologies. Experience deploying and managing RAG-based and Agentic AI applications. Knowledge of multimodal AI workflows and Large Language Models. Strong troubleshooting, analytical, and problem-solving skills. Excellent communication and collaboration skills with the ability to work across cross-functional teams. Ability to operate effectively in fast-paced and dynamic enterprise environments. Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Values-Driven, People-Centric & Inclusive Work Environment: Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We support hybrid work and flexible hours to fit diverse lifestyles. Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment Let’s unleash your full potential at Persistent - persistent.com/careers “Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”
Requirements
["Machine Learning", "LLMOps"]
Roles & responsibilities
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