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azure aws python gcp mlops📋 Description
- Collaborate with teams to translate business problems into a prioritized ML product roadmap.
- Act as player-coach, provide hands-on expertise, and mentor the team.
- Establish a high-performing setup enabling rapid iteration, experimentation, and deployment.
- Drive continuous improvement of processes, tooling, and infrastructure for velocity and quality.
- Monitor ML/AI landscape and promote adoption of state-of-the-art techniques.
- Recruit, manage, and develop ML Engineers; set goals and provide feedback.
🎯 Requirements
- Bachelors in Computer Science, Engineering, or a related field.
- 10+ years of experience in Applied ML or AI, including 3+ years leading ML/DS teams.
- Proven experience defining and executing a multi-year technical vision for a large-scale ML platform.
- Deep expertise in production-grade ML/AI systems, incl. LLM orchestration, embeddings, vector stores.
- Extensive ML Ops/LLM Ops experience with evaluation metrics for AI at scale.
- Experience building cloud services on AWS, GCP, or Azure with high-volume data.
🎁 Benefits
- Competitive pay
- Generous time off
- Parental and wellness leave
- Healthcare
- Retirement savings program
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