Senior Engineer-Devops Machine Learning Operations

Bold Financial Technologies; Dadri; On-site; INR 2,000,000 - 3,500,000; Full time

Job summary

Bold Financial Technologies seeks a DevOps professional to own production ML environments and MLOps infrastructure within infrastructure and data science teams. You will design scalable pipelines using AWS SageMaker, EMR, and OpenSearch.

You will handle day-to-day support, automate CI/CD for ML workloads, coordinate cross-functionally, and ensure security, cost control, and on-call readiness.

Qualifications

• 4.5+ years in AWS MLOps with hands-on SageMaker.
• Experience with EMR and OpenSearch kNN/vector search.
• Proficiency in Python/Bash for CI/CD and Linux servers.
• Strong Linux and networking fundamentals; ML tooling exposure.

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.

Skills

AWS MLOps

SageMaker

OpenSearch

Python

Bash scripting

CI/CD

Linux

Networking fundamentals

MLFlow

Airflow

Metaflow

ONNX

FastAPI

Spring Boot

Tools

SageMaker Pipelines

SageMaker Model Registry

SageMaker Studio

EMR

OpenSearch

KNN vector search

Solr/OpenSearch

FastAPI

Spring Boot

Job description

Job Description:

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

#LI-SV1

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 dont 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 Franciscos Fair Chance Ordinance, qualified applicants with arrest and conviction records will be considered for the position.

Requirements: