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Machine Learning Engineer IRC184077
| Job | IRC184077 |
| Location | Poland |
| Designation | Senior Software Engineer |
| Experience | 3-5 years |
| Function | Engineering |
| Skills | Amazon SageMaker, AWS |
| Work Model: | Remote |
Description
Our client is a multi-brand retailer based in Montreal, Canada specialising in the sale of designer fashion and high end streetwear. It was founded as an e-commerce platform in 2003.
Requirements
- Solid experience with SageMaker Studio and all features it provides (Sagemaker Pipelines)
- Ability to create and adjust SageMaker pipelines for the end-to-end ML development cycle
- Experience with deploying model inference with Sagemaker endpoints and other serverless computing (such as Lambda)
- Experience with transferring projects from on-premise to SageMaker
- Ability to understand machine learning development and deployment processes
- Good knowledge of how to deploy model inference with CodePipeline
Job Responsibilities
- Collaborate with client to understand their current machine learning development environment setup
- Provide guidance and best practices to client on how to effectively and securely setup SageMaker Studio domain
- Design, implement and manage AWS infrastructure for the ML environment, including VPCs, subnets, security groups, and other AWS resources
- Work with clients to configure AWS IAM roles, policies, and permissions to ensure secure access to AWS resources and data
- Identify opportunities for optimization and cost reduction in the AWS infrastructure and SageMaker Studio environments
- Create reusable project templates to create the infrastructure for MLOps solution for CI/CD of ML models
- Conduct workshops for client on how to use SageMaker Studio features effectively
We Offer
Exciting Projects: With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies.
Collaborative Environment: You can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!
Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules.
Professional Development: We develop paths suited to your individual talents through international knowledge exchanges and professional certification opportunities.
Excellent Benefits: We provide our employees with private medical care, sports facilities cards, group life insurance, travel insurance, relocation package, food subsidies and cultural activities.
Fun Perks: We want you to feel comfortable in your work, which is why we create good working environment with relax zones, host social and teambuilding activities and stock our kitchen with delicious teas and coffees!