Offer summary
Qualifications:
At least 8+ years of technology experience with leadership roles specific in ML/MLOps and core software engineering. Deep understanding of Enterprise Software architecture, design patterns, modern programming languages, machine learning algorithms, data modeling, and MLOps practices across major cloud providers. Advanced degree in Computer Science, Engineering or related field..
Key responsabilities:
- Oversee development, scaling, optimization of ML platform and products, focus on system architecture, API design, data processing, and infrastructure supporting machine learning. Guide team in innovating in machine learning model development, deployment, monitoring, management. Champion best practices in software development, lead a distributed engineering team, foster culture of excellence. Serve as bridge between ML/MLOps and software engineering teams, ensuring tight integration and collaboration. Work with stakeholders to deliver high-quality products by building positive relationships and fostering collaboration.