# Senior Engineer-Devops, Machine Learning Operations Source: https://realanalystjobs.com/job/senior-engineer-devops-machine-learning-operations-bold-86ce5c76 Senior Engineer-Devops, Machine Learning Operations at BOLD, an on-site role based in Noida, India. Experience level: 5+ Years. Posted on 27 November 2025, read from BOLD's own careers page (Greenhouse), which RealAnalystJobs re-checks daily and removes the role when it closes. Updated 15 November 2026. ## Key facts - Company: [BOLD](https://realanalystjobs.com/companies/bold) - Location: Noida, India - Work mode: On-site - Posted: Nov 27, 2025 - Employment type: Full time - Experience level: 5+ Years - Source: BOLD's careers page (Greenhouse), re-checked daily Skills: [SQL](https://realanalystjobs.com/skills/sql), [Python](https://realanalystjobs.com/skills/python), AWS, Airflow ## About this role BOLD is seeking for Devops professional to own the production ML environments and MLOps infrastructure within infrastructure and data science teams. Handle day-to-day support, ad-hoc requests, and cross-team projects. Architect scalable MLOps pipelines using AWS services like SageMaker , EMR, and OpenSe arch. ABOUT THIS TEAM Infrastructure team provides various services including automation, observability, cloud/server/network architectures, CICD, infrastructure as code, database administration, incident management, vendor management, security and compliance, and acquiring new skills. These services help to improve efficiency, reduce errors, and ensure fast and reliable application releases while maintaining security and compliance. Techops help teams monitor applications and infrastructure, create resilient infrastructure, identify and resolve IT service issues, manage vendors, and ensure cloud security and compliance. The team also focuses on continuous learning and implementing new technologies to provide better value to the organization. WHAT YOU’LL DO • Design and maintain end-to-end MLOps pipelines for data ingestion, feature engineering, model training, deployment, and monitoring. • Productionize ML/GenAI services, collaborating with data scientists on model serving and workflow optimization. • Implement monitoring, alerting, and observability to reduce MTTR and ensure production reliability. • Manage data/feature stores and search infrastructure for scalable ML inference. • Automate CI/CD for ML models and infrastructure with governance and security compliance. • Handle security patching, cost optimization, and 24x7 on-call rotations for critical services. • Coordinate cross-functionally with development, QA, ops, and data teams to innovate build/deployment processes. WHAT YOU’LL NEED • 4.5+ years (Sr Engineer)/7+ years (Module Lead) in AWS MLOps with hands-on SageMaker (Pipelines, Model Registry, Studio), EMR, OpenSearch (kNN/vector search). • Python/Bash scripting for CI/CD, provisioning, monitoring of FastAPI/Spring Boot web services; and Linux servers (Solr/OpenSearch). • AWS services (S3, DynamoDB, Lambda, Step Functions) with cost control, reporting; databases (MySQL, MongoDB). • Strong Linux and networking fundamentals; • Hands-on expertise in ML tools (MLFlow, Airflow, Metaflow, ONNX). EXPERIENCE- • MLOps Sr. Engineer, DevOps - 4.5+ years \#LI-Hybrid About Bold We Transform Work Lives As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives. We Celebrate And Promote Diversity And Inclusion We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don't discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law. Under San Francisco's Fair Chance Ordinance, qualified applicants with arrest and conviction records will be considered for the position. Description from BOLD's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/senior-engineer-devops-machine-learning-operations-bold-86ce5c76) and use Apply now there to reach the employer's application. The listing is re-checked against BOLD's careers page daily and removed when it closes. ## BOLD 1 open analyst role on Real Analyst Jobs. [More roles at BOLD](https://realanalystjobs.com/companies/bold) ## More like this ### Other open roles at BOLD - [Systems Analyst II](https://realanalystjobs.com/job/systems-analyst-ii-bold-c71530a6), Puerto Rico - [Data analyst jobs in India](https://realanalystjobs.com/jobs/data-analyst-jobs-in-india) - [Analyst job market report](https://realanalystjobs.com/analyst-job-market) - [What analyst roles pay](https://realanalystjobs.com/blog/data-analyst-salaries) ## Sources and links - [This role on Real Analyst Jobs](https://realanalystjobs.com/job/senior-engineer-devops-machine-learning-operations-bold-86ce5c76) - [BOLD on Real Analyst Jobs](https://realanalystjobs.com/companies/bold) - [All analyst jobs](https://realanalystjobs.com/jobs)