MLOps Engineer - AWS Cloud Services (3-5 yrs)

Role Details :

MLOps will be working directly with the senior ML/analytics leader (of FINCEPTA's fast growing US based client).

Responsibilities :

- Model Deployment : Deploy, monitor, and manage ML models in AWS

- Automation : Develop CI/CD pipelines for ML workflows (CodePipeline, CodeBuild, and Jenkins)

- Infrastructure Management : Design and manage AWS infra for ML workloads (S3, RDS, DynamoDB)

- Monitoring and Logging : Implement monitoring and logging solutions (CloudWatch, Sagemaker Model Monitor)

Requirements :

- At least 3 years of experience in MLOps, DevOps, or related fields

- Effective communication, requirement gathering and collaboration skills

- Experienced with AWS services like SageMaker, EC2, Lambda, S3, and RDS

- Proficient in Python and experienced with ML frameworks like TensorFlow, PyTorch, or Scikit-Learn

- Experienced with CI/CD tools and best practices

- Familiar with Infrastructure as Code (IaC) using tools like Terraform or AWS CloudFormation

- Knowledge of data engineering tools and practices

- Knowledge of Kubernetes or Docker.

Benefits :

- Attractive compensation package

- Ability to work & interact with FINCEPTA & client leadership directly