Staff MLOps Engineer (Bengaluru)

Staff MLOps Engineer (Bengaluru)

17 Aug
|
symplr
|
Bengaluru

17 Aug

symplr

Bengaluru

Overview

We are looking for a seasoned Staff MLOps Engineer to lead the design, implementation, and scaling of enterprise-grade machine learning platforms on AWS. This role will focus on building reliable, secure, and cost-productive MLOps systems that enable data scientists and engineers to deploy, monitor, and manage ML models in production. As a Staff Engineer, you will provide technical leadership, define best practices, and drive cross-team alignment on ML platform architecture.

Duties & Responsibilities

Key Responsibilities

MLOps Platform & Architecture
- Architect and own scalable MLOps platforms on AWS supporting model training, deployment, monitoring, and governance.
- Design and maintain end-to-end ML CI/CD pipelines, including data validation, model training, testing, approval, and deployment.
- Establish standards for model lifecycle management, experiment tracking, versioning, reproducibility, and rollback.

Model Deployment & Monitoring
- Enable real-time, batch, and asynchronous model inference using AWS-native and container-based solutions.




- Implement monitoring for model performance, data drift, concept drift, and operational metrics.
- Ensure high availability, fault tolerance, and observability for production ML systems.

AWS Cloud & Infrastructure
- Lead design and implementation using AWS services, including but not limited to:
- Amazon SageMaker (training, hosting, pipelines, feature store)
- EKS, ECS, EC2, Lambda for model serving and orchestration
- S3, Glue, Athena, Redshift for data storage and analytics
- CloudWatch, X-Ray for logging and monitoring
- Implement Infrastructure as Code (IaC) using Terraform or AWS CloudFormation.
- Optimize ML workloads for cost, performance, and scalability, including GPU/spot instance strategies.

DevOps, Security & Compliance
- Build and maintain CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline.
- Enforce security best practices (IAM, VPC, encryption, secrets

📌 Staff MLOps Engineer (Bengaluru)
🏢 symplr
📍 Bengaluru

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