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Senior Engineer-Devops, Machine Learning Operations

1 month, 1 week ago
India
Senior
DevOps Engineer
DevOps and Infrastructure
Apache Airflow AWS Bash CI/CD DynamoDB FastAPI Linux MLflow MLOps MongoDB MySQL OpenSearch Python SageMaker Spring Boot
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BOLD

BOLD

BOLD is a tech company dedicated to transforming work lives by providing online products, tools, guidance, and support for job seekers, employers, and businesses. Founded by passionate entrepreneurs, BOLD empowers individuals to reach their professiona...

Internet Software & Services
251-1K
Founded 2004
View All Jobs 19

Description

  • Design and maintain end-to-end MLOps pipelines for data ingestion, feature engineering, model training, deployment, and monitoring.
  • Productionize ML and GenAI services in collaboration with data scientists on model serving and workflow optimization.
  • Implement monitoring, alerting, and observability to reduce MTTR and improve production reliability.
  • Manage data stores, 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 support for critical services.
  • Coordinate with development, QA, operations, and data teams to improve build and deployment processes.
  • Provide day-to-day support, ad hoc requests, and cross-team project execution for production ML environments.

Requirements

  • 4.5+ years of experience for Sr. Engineer level or 7+ years for Module Lead level in AWS MLOps and DevOps.
  • Hands-on experience with AWS SageMaker, including Pipelines, Model Registry, and Studio.
  • Experience with EMR and OpenSearch, including kNN/vector search.
  • Strong Python and Bash scripting skills for CI/CD, provisioning, and monitoring.
  • Experience supporting FastAPI or Spring Boot web services and Linux servers, including Solr/OpenSearch.
  • Experience with AWS services such as S3, DynamoDB, Lambda, and Step Functions.
  • Experience with cost control and reporting for AWS infrastructure.
  • Experience with databases such as MySQL and MongoDB.
  • Strong Linux and networking fundamentals.
  • Hands-on expertise with ML tools such as MLflow, Airflow, Metaflow, and ONNX.

Interested in this position?

Apply directly on the company website

Apply Now

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