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Senior Software Engineer I - ML Engineer

Karnataka, India (On-site)

Senior Software Engineer I - ML Engineer

2 Months ago • 4 Years + • Backend Development • DevOps • Undisclosed

About the job

6 skills required for this role

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prototyping

aws

pytorch

scikit-learn

design-patterns

saas-business-models

Job Description

As a Machine Learning Engineer at Sumo Logic, you'll design and develop ML-powered product capabilities to analyze large log data sets. This involves the entire feature lifecycle: ideation, dataset construction, experimental validation, prototyping, production implementation, deployment, and operations. You will identify opportunities for ML applications, assess requirements for large-scale data and ML platforms, and build high-volume, fault-tolerant, scalable backend systems. Collaboration with the team is key to solving problems and meeting business needs. The role requires experience in production-grade services in cloud environments handling large-scale data and a solid understanding of core ML concepts and statistics.

Must have:

4+ years experience
Production ML model deployment
Large-scale data handling
Core ML concepts & statistics
Cloud environment experience

Good to have:

AWS Sagemaker
Airflow, MLFlow
LLM experience
Multi-threaded programming
Agile development

About the job

Senior Software Engineer I - ML Engineer - Logs Experiences

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

Helping the team design and implement extremely high-volume, fault-tolerant, scalable backend systems that process and manage petabytes of customer data.

Collaborating within and beyond the team to identify problems and deliver solutions

Work as a member of a team, helping the team respond quickly and effectively to business needs.

Requirements

B.Tech, M.Tech, or Ph.D. in Computer Science or related discipline

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 handling data at large scale

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

Experience in multi-threaded programming and distributed systems

Agile software development experience (test-driven development, iterative and incremental development) is a plus.

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 SaaS analytics platform. The Sumo Logic Continuous Intelligence Platform™ 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.

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About The Company

Sumo Logic

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Sumo Logic turns insights into action by enabling customers to deliver reliable and secure cloud-native applications through its Sumo Logic SaaS Log Analytics Platform.