Senior AI/ML Engineer responsible for developing and deploying complex AI initiatives, focusing on the end-to-end lifecycle of ML solutions, from technical design and coding to production deployment and continuous optimization.
Requirements
- Technical Implementation: Contribute to the design and development of scalable, maintainable AI solutions aligned with modern best practices.
- Hands-on Development: Deliver high-quality code for data, modelling, and deployment pipelines, leading the team through engineering rigor.
- MLOps Mastery: Implement and maintain robust MLOps workflows, focusing on automated CI/CD, containerization, and model observability.
- Agile Delivery: Work within an Agile framework to ensure research translates into predictable production value, meeting project milestones and deadlines.
- Business Advisory: Partner with technical and business stakeholders to translate business challenges into technical requirements and clear project updates.
Benefits
- Competitive compensation package
- Yearly education budget
- Yearly sport budget
- Flexible working culture
- Position that enables impact on 1’000s of people