- Identifying and validating opportunities for the application of ML or data-driven techniques
- Driving technical delivery through the full feature lifecycle, from idea to production and operations
- Collaborating within and beyond the team to identify problems and deliver solutions
- Assessing requirements and approaches for large-scale data and ML platform components
- Collaborating with UX / UI teammates on the usability of product features
- Owning the uptime and reliability of delivered services and capabilities, including on-call rotation
- Developing supporting tooling, automation, and microservices to accelerate the team
Requirements :
- B.S. / M.S. / Ph.D. in Computer Science or related disciplines
- 8+ years of industry experience with a proven track record of ownership and delivery
- Excellent collaboration and communication skills
- Experience with software engineering of production-grade services in cloud environments
- Experience formulating use cases as ML problems and putting ML models into production
- Knowledge of and / or curiosity to learn about specific Sumo Logic customer problem domains
- Operational excellence orientation : SLIs / SLOs, monitoring and troubleshooting, on-call rotations
- Solid grounding in core ML concepts, basic statistics, and the judicious use of abstraction
- LLM core concepts, libraries, and application design patterns
Desirable :
- Cloud-based application and infrastructure deployment and management
- Common ML libraries (eg, scikit-learn, PyTorch) and components (eg, Airflow, MLFlow)
- Relevant cloud provider services (eg, AWS Sagemaker)
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