Responsibilities
- Design and Development
- Build robust ML solutions on an AWS-powered platform.
- User Interaction
- Collaborate with platform users to support their ML use cases and gather feedback.
- Best Practices
- Implement ML engineering best practices to ensure scalability, reliability, and efficiency.
- Roadmap Contribution
- Advocate for user needs to shape and refine the platform’s roadmap.
Requirements
- Proficiency in Python for coding and scripting
- Hands-on experience in Machine Learning and Data Science
- Strong knowledge of AWS SageMaker and its applications
- Familiarity with DevOps practices to enhance platform operations
- Problem-solving mindset and ability to work collaboratively within a team
- Effective communication skills to engage with cross-functional teams
What we offer
- B2B Contract
- Employment based on a B2B contract
- Stable and Dynamic International Firm
- Employment based on a B2B contract
- Engaging Projects and Latest IT
- Chance to participate in interesting projects and work with the latest information technologies
- Competitive Rates
- Attractive remuneration rates offered.
- Renowned International Projects
- Involvement in the most prestigious international projects.
- Multisport and Private Medical Care
- Access to Multisport benefits and private healthcare services.
Nice to have
- Understanding of AWS concepts
- Role permissions, Networking, Service offerings.
- Experience with infrastructure-as-code (IaC) tools
- Such as Terraform
Work with us
Apply & join the team
Didn’t find anything for yourself? Send your CV to [email protected]