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.

Senior Engineer-Devops, Machine Learning Operations