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Senior Software Engineer-I, Machine Learning

Karnataka, India (On-site)

Senior Software Engineer-I, Machine Learning

1 Month ago • 4-6 Years • DevOps

About the job

6 skills required for this role

Test your skills to join the top 1% applicants for this job

prototyping

aws

pytorch

scikit-learn

design-patterns

saas-business-models

Job Description

Sumo Logic seeks a Senior Software Engineer-I, Machine Learning with 4-6 years of experience to design and develop ML-powered products. You'll work through the entire feature lifecycle, from ideation to production. Experience with ML models, production-grade services, and cloud environments is required.

Must have:

Machine Learning
Production Services
Cloud Environments
Data Engineering

Good to have:

Cloud-based Deployment
ML Libraries
AWS Sagemaker
LLM Concepts

Perks:

Cloud-native Applications
Real-time Analytics

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About the job

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

4-6 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.

Sumo Logic Privacy Policy

Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.

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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.