Senior Engineer-Devops, Machine Learning Operations

BOLD; Dadri; On-site; INR 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Health benefits

Bi-annual bonus

Equity in company

Annual appraisal

Tax-friendly compensation structure

Job summary

BOLD is seeking a DevOps professional to own production ML environments and MLOps infrastructure within infrastructure and data science teams. You will design end-to-end MLOps pipelines leveraging AWS SageMaker, EMR, and OpenSearch to support model training, deployment, and monitoring.

You will collaborate with data scientists and developers, automate CI/CD for ML models, implement observability, and ensure secure, cost-effective operations with on-call rotations.

Qualifications

• Experience with AWS MLOps, SageMaker Pipelines, Model Registry, Studio.
• Design end-to-end MLOps pipelines for data ingestion, feature engineering, model training, deployment and monitoring.
• Strong Linux and networking fundamentals.

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

EMR

OpenSearch

Python/Bash scripting

Linux servers

ML tools

Tools

FastAPI

Spring Boot

Solr/OpenSearch

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.

Job Description

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

BENEFITS

Outstanding Compensation

• Competitive salary
• Tax-friendly compensation structure
• Bi-annual bonus
• Annual Appraisal
• Equity in company

100% Full Health Benefits

• Group Mediclaim, personal accident, & term life insurance
• Group Mediclaim benefit (including parents' coverage)
• Online Health (OPD) Consultation Benefit
• Personal accident and term life insurance coverage

Flexible Time Away

• 24 days paid leaves
• Declared fixed holidays
• Paternity and maternity leave
• Compassionate and marriage leave
• Covid leave (up to 7 days)

ADDITIONAL BENEFITS

• Internet and home office reimbursement
• In-office catered lunch, meals, and snacks
• Certification policy
• Cab pick-up and drop-off facility

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 don't 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.