Software Engineer-II, Machine Learning
Bengaluru, Karnataka, India
Sumo Logic
Sumo Logic provides best-in-class cloud monitoring, log management, Cloud SIEM tools, and real-time insights for web and SaaS based apps.
The proliferation of machine log data has the potential to give organizations unprecedented real-time visibility into their infrastructure and operations. With this opportunity comes tremendous technical challenges around ingesting, managing, and understanding high-volume streams of heterogeneous data.
As a Machine Learning Engineer at Sumo Logic, you will actively contribute in the design and development of innovative ML-powered product capabilities to help our customers make sense of their huge amounts of log data. This involves working through the entire feature lifecycle including ideation, dataset construction, experimental validation, prototyping, production implementation, deployment, and operations.
Responsibilities:
- Identifying and validating opportunities for the application of ML or data-driven techniques
- Assessing requirements and approaches for large-scale data and ML platform components
- 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
Requirements:
- B.Tech / M.Tech in Computer Science or related disciplines
- 2-4 years of industry experience with a proven track record of ownership and delivery
- Experience formulating use cases as ML problems and putting ML models into production
- Solid grounding in core ML concepts and basic statistics
- Experience with software engineering of production-grade services in cloud environments
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)
- LLM core concepts, libraries, and application design patterns
About Us
Sumo Logic, Inc. empowers the people who power modern, digital business. Sumo Logic enables customers to deliver reliable and secure cloud-native applications through its Sumo Logic SaaS Analytics Log Platform, which helps practitioners and developers ensure application reliability, secure and protect against modern security threats, and gain insights into their cloud infrastructures. Customers worldwide rely on Sumo Logic to get powerful real-time analytics and insights across observability and security solutions for their cloud-native applications. For more information, visit www.sumologic.com.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AWS Computer Science Core ML Engineering LLMs Machine Learning MLFlow ML models Privacy Prototyping PyTorch SageMaker Scikit-learn Security Statistics
Perks/benefits: Career development
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