Company Overview

BOLD is revolutionizing the career landscape by empowering individuals to discover and develop their professional paths. Our recent acquisitions of Monster and CareerBuilder will expand our global reach and impact. With a range of brands like FlexJobs, Zety, and Sonara and more, we provide jobseekers with the tools to create impressive resumes and connect with employers.

BOLD fosters adynamic, inclusive culture that prioritizes innovation and growth. So don't wait and join us in shaping the future of work and redefining successful careers

Position Overview

Own 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.

Key Responsibilities

- 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.
- 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.

Required Skills

- 4+ years of experience 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 webservices; and Linux servers (Solr/OpenSearch).
- AWS services (S3, DynamoDB, Lambda, Step Functions) with cost control, reporting, databases (MySQL, MongoDB).
- Solid Linux and networking fundamentals
- Hands-on expertise in ML tools (MLFlow, Airflow, Metaflow, ONNX).

📌 Senior Engineer, Devops (Machine Learning Operations) (Noida)
🏢 BOLD Technology Systems
📍 Noida