Company Overview

BOLD is revolutionizing the career landscape by empowering individuals to discover and develop their skilled 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 job seekers with the tools to create impressive resumes and connect with employers. BOLD fosters a energetic, inclusive culture that priorities 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 eams. Handle day-to-day support, ad-hoc requests, and cross-team projects. Architect scalable MLOps pipelines using AWS services like SageMaker, EMR, and OpenSearch.

Required Skills
AWS services (S3, DynamoDB, Lambda, Step Functions) with cost control, reporting;databases (MySQL, MongoDB).
Solid Linuxand networking fundamentals;
Hands-on expertise in ML tools (MLFlow, Airflow, Metaflow, ONNX)
4.5+ years (Sr Engineer)/7+ years (Module Lead)



in AWS MLOps with hands-onSageMaker (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).
Shell scripting; GitOps (ArgoCD/Flux);
Excellent communication and independent problem-solving.

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 andworkflow optimization.
Implement monitoring, alerting, and observability to reduce MTTR and ensure productionreliability.
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 innovatebuild/deployment processes.

📌 Senior Devops Mlops Noida
🏢 BOLD Technology Systems
📍 Noida