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Machine Learning Engineer IRC183990
| Job | IRC183990 |
| Location | Ukraine | Poland | Romania | Slovakia | Croatia |
| 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: Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to participate in creating market-defining products using the latest technologies.
Collaborative Environment: 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 opportunities and options.
Professional Development: Our dedicated Learning & Development team regularly organizes certification and technical / soft skill training to help you realize your professional goals.
Excellent Benefits: We provide our consultants with competitive compensation and benefits
Fun Perks: We want you to love where you work, which is why we host sports classes, cultural, social and team building activities such as sports competitions and end-of-year corporate parties. Our vibrant offices also include dedicated GL Zones and rooftop decks where you can drink coffee or tea with your colleagues over a game of table football or darts!