As a Machine Learning Engineer at our company, you will play a crucial role in our operations. You will be integral to our Machine Learning Platform, which empowers Data Scientists to build, deploy, and maintain Machine Learning use cases using AWS functionalities. Your role involves guiding and co-creating Platform use cases with various teams, always keeping a user-centric perspective to shape the Platform's roadmap.
- Key Responsibilities :
- Innovate and Build : Design and develop advanced ML solutions on our AWS-powered Platform.
- Collaborate and Understand : Engage with Platform users to identify their needs and deliver tailored solutions.
- Lead with Excellence : Implement ML Engineering best practices to ensure robust, high-quality solutions.
- Qualifications :
- Proficiency in Python coding.
- Experience in Machine Learning and Data Science.
- Strong knowledge of AWS SageMaker.
- Ability to seamlessly incorporate DevOps practices into ML workflows.
- Excellent problem-solving abilities and a collaborative team spirit.
- Preferred Qualifications :
- Understanding of AWS in terms of role permissions, networking, and service offerings.
- Familiarity with infrastructure-as-code (IaC) tools, particularly Terraform.
Join us to be a part of a team that is at the forefront of innovation, driving impactful solutions through AI and Machine Learning on a global scale.
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