Found Description
Responsibilities
- Technical Delivery (60%)
- Design and implement end-to-end ML solutions from experimentation to production;
- Build scalable ML pipelines and infrastructure;
- Optimize model performance, efficiency, and reliability;
- Write clean, maintainable, production-quality code;
- Conduct rigorous experimentation and model evaluation;
- Troubleshoot and resolve complex technical challenges
- Collaboration and Contribution (25%);
- Mentor junior and mid-level ML engineers;
- Conduct code reviews and provide constructive feedback;
- Share knowledge through documentation, presentations, and workshops;
- Collaborate with cross-functional teams (DevOps, Data Engineering, SAs);
- Contribute to internal ML practice development
- Innovation and Growth (15%)
- Stay current with ML research and emerging technologies;
- Propose improvements to existing solutions and...