Datatron is looking for a QA Engineer to ensure the quality of a cutting-edge AI/ML platform.
As Enterprises invest more in AI/ML, the need for automation of model management and AI operations in production becomes clear. Datatron is fulfilling this need by automating model deployment, model monitoring, and model governance with a platform that bridges the gap between engineers, data scientists, and business stakeholders in production. We manage and orchestrates all the steps from data ingestion and transformation, to model training and serving these models as scalable, fault-tolerant web services. Datatron‘s unique Machine Learning technology creates a bidirectional partnership between user and machine, with each component learning from the other and becoming smarter through use. Datatron helps data scientists and engineers deploy their data science workflow into production in hopes to free data scientists from writing more bash scripts or glue code and instead allow them to focus on feature and model building, thereby accelerating their development lifecycle.
At Datatron, we're committed to define and build the Machine Learning platform that will make models come to life in production en masse. We are defining an industry and a category. Our founders and technical advisors have extensive backgrounds in data science and infrastructure, and have worked together for years on the engineering and data science teams at Lyft, Twitter, Microsoft, Amazon, Oracle, and Snapchat. Today, we are a pre-Series A company onboard our first few customers. We work hard, and we're serious about what we do.
Responsibilities & Duties:
Work with the team and customers to understand the business use cases and implement end to end tests
Perform manual and automation testing
Improve existing testing infrastructure
Skills & Qualifications:
Ideal candidate should have engineering background
Should be able to deal with cross-functional team
1+ years of industry experience developing test plans
Experience with issue tracking systems like Asana and Jira
Familiarity with operational technologies, including Kubernetes, Docker, and Terraform
Strong troubleshooting skills
Experience with CI/CD tools
Medical, Dental, and Vision
Opportunities for growth
Lunch provided daily
Always stocked snack bar
Friday Happy Hours
Monthly Employee Outings
Free parking onsite
Clipper Card Benefits
Our commitment to diversity
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.