Senior Engineer-MLOps (AWS)

Bold Technology Systems

4 - 8 years

10 - 18 Lacs

noida

Posted:9 hours ago| Platform:

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Skills Required

solr aws ml pipelines vector elastic search airflow aws sagemaker machine learning ml

Work Mode

Hybrid

Job Type

Full Time

Job Description

Company Overview:

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 Sage Maker, EMR, and OpenSearch.

Required skills:

4.5+ years in AWS MLOps with hands-on Sage Maker (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).
Strong Linux and networking fundamentals.
Hands-on expertise in ML tools (MLFlow, Airflow, Metaflow, ONNX).

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.
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.

Additional skills (Good to have):

AIOps for anomaly detection.

Excellent communication and independent problem-solving

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