We're an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients. Our people are ambitious, collaborative, and constantly evolving. We lead with trust, respect, and purpose, and believe in open dialogue, creative freedom, and mentorship.
Requirements
- Deep understanding of ML lifecycle: development, evaluation, deployment, monitoring, and iteration
- Excellent communication skills; ability to explain complex technical concepts to non-technical stakeholders
- Hands-on experience in experiment design and model valuation
- Expertise with ML system design, model deployment, and production ML systems
- Proficiency with AWS stack related to ML (e.g. Sagemaker, Lambda, Stepfunctions, IAM)
- Strong software engineering fundamentals and best practices (CICD, Test-Driven Development, Infrastructure as Code)
- Experience translating business objectives into technical roadmaps and deliverables
- Ability to balance technical excellence with business priorities and timelines
- Strong stakeholder management and cross-functional collaboration skills
Benefits
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision