Director | MLOps Specialist | AWS Cloud

About Our Client

Our client is a renowned name in the insurance space.

Job Description

12+ years in software engineering, DevOps, or ML Engineering with a focus on cloud-based ML pipelines

Strong experience with Amazon Web Services (AWS), especially :

Amazon SageMaker (training, deployment, Pipelines, Model Monitor)

S3, Lambda, Step Functions, CodePipeline, ECR, CloudWatch

Proficiency in Python, Bash, and scripting for automation

Familiarity with CI / CD tools like Jenkins, GitHub Actions, CodeBuild, etc.

Experience with Docker and container orchestration in AWS (, ECS, EKS optional)

Understanding of ML lifecycle, including feature engineering, training, deployment, and monitoring

Experience with data versioning and model tracking tools (, MLflow, DVC, SageMaker Model Registry)

Excellent communication and collaboration skills

The Successful Applicant

Key Responsibilities

Design & Implement MLOps Pipelines

Build and maintain robust CI / CD pipelines for ML using Amazon SageMaker Pipelines, CodePipeline, Step Functions, etc.

Automate model training, evaluation, deployment, and monitoring processes.

Infrastructure & Cloud Management

Use Infrastructure-as-Code (IaC) tools (, CloudFormation, Terraform, CDK) to manage reproducible environments.

Architect scalable ML infrastructure using AWS (, S3, Lambda, ECR, EC2, SageMaker).

Monitoring, Logging & Observability

Implement model and data monitoring with SageMaker Model Monitor, CloudWatch, or third-party tools.

Set up logging, alerts, and dashboards to ensure model health and performance.

Governance & Compliance

Manage model registries, lineage tracking, and audit logging to support reproducibility and regulatory compliance.

Enable version control and approval workflows for ML assets.

Collaboration & Enablement

Work closely with data scientists, ML engineers, and DevOps teams to integrate ML workflows into existing infrastructure.

Educate and mentor cross-functional teams on MLOps best practices and AWS ML tooling.