Senior Engineer-Devops, Machine Learning Operations
At a glance
Senior Machine Learning Engineering role at livecareer. Noida.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and keep running ML pipelines from data intake and feature work through training, release, and monitoring
- Work with data scientists to launch ML and GenAI services, improving model serving and workflows
- Set up alerts and observability for production systems to improve reliability and shorten recovery time
- Maintain feature and data stores, search systems, and CI/CD automation with security controls
- Cover critical services through on-call rotations, security updates, cost management, and cross-team delivery
What you bring
- At least four and a half years in AWS MLOps for the senior engineer role
- Hands-on AWS SageMaker experience, including its pipelines, model registry, and Studio, plus EMR and OpenSearch vector search
- Python or Bash scripting for CI/CD, provisioning, and monitoring, with Linux server experience
- Working knowledge of AWS storage, database, and orchestration services, plus MySQL or MongoDB
- Strong Linux and networking fundamentals, alongside practical experience with MLflow, Airflow, Metaflow, or ONNX
Who this fits
This role suits a senior MLOps engineer who can own production ML infrastructure and collaborate with data, development, QA, and operations teams. It includes round-the-clock on-call coverage for critical services.
From the employer
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 OpenSearch.
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
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.
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