SDET - AI/ML

Posted 9 Days Ago
Be an Early Applicant
Bengaluru, Karnataka
Mid level
Software
The Role
As an SDET focused on machine learning, you will ensure the quality and reliability of ML models by developing automated testing frameworks, designing test strategies, and validating model performance. Your responsibilities include constructing test scenarios, developing systematic test cases, and identifying data quality issues.
Summary Generated by Built In

Acceldata is reimagining the way companies observe their Data!


Acceldata is the pioneer and leader in data observability, revolutionizing how enterprises manage and observe data by offering comprehensive insights into various key aspects of data, data pipelines and data infrastructure across various environments. Our platform empowers data teams to manage products effectively by ensuring data quality, preventing failures, and controlling costs.


As a SDET AI/ML

You will play a crucial role in analysing complex datasets, developing machine learning models, and deriving actionable insights to drive business decisions. You will work closely with senior data scientists and cross-functional teams to solve challenging problems and contribute to the advancement of data-driven initiatives.


A day in the life of SDET AI/ML


Understanding of the ML software ecosystem and QA approaches/frameworks

Responsible for development of test strategies and ML/LLM test

Create automated test infra to for engineering teams to test and deliver key features

Ensure ML features are planned, validated, and automated as per release and customer requirements

Development and execution of test plans, monitoring and reporting on test execution and quality metrics.

Debug feature and unit/system level defects

Strong hands-on automation skills to enable onboarding of automated features into the test framework

Working knowledge of performance engineering aspects for LLM serving systems



You are a great fit for this role if you have

 

Bachelors or Masters degree in Computer Science, Statistics, Mathematics, Engineering, or related field.

2-4 years of experience; strong proficiency in programming languages such as Python or R.

Experience with data manipulation and analysis libraries such as Pandas, NumPy, and scikit-learn.

Knowledge of machine learning algorithms and frameworks, and practical experience in model development and evaluation.

Familiarity with database systems and SQL for data extraction and manipulation.

Excellent analytical and problem-solving skills, with attention to detail.

Strong communication and interpersonal skills, with the ability to collaborate effectively in a team environment.


We care for our team

· Mentorship & Growth

· ESOPs

· Medical and Life Insurance

· Paid Maternity & Parental Leave

· Corporate Uber Program

· Learning & Development Support


Acceldata for All

We are a fast-growing company, solving complex data problems at scale. We are driven by strong work ethics, high standards of excellence, and a spirit of collaboration. We promote innovation, commitment, and accountability. Our goal is to cultivate a healthy work environment that fosters a sense of belonging, encourages teamwork, and brings out the best in every individual.


Why Acceldata?

Acceldata is redefining data observability for enterprise data systems. Founded by experts who recognized the need for innovative monitoring and management solutions in a cloud-first, AI-driven environment, our platform empowers data teams to effectively manage data products. We address common challenges such as scaling and performance issues, cost overruns, and data quality problems by providing operational visibility, proactive alerts, and monitoring reliability across the various environments.


Delivered as a SaaS product, Acceldata's solutions have been embraced by global customers, such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Zoominfo, GSK, Oracle, PubMatic, PhonePe (Walmart), Hersheys, Dun & Bradstreet, and many more. Acceldata is a Series-C funded company and its investors include Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures.

Top Skills

Python
The Company
HQ: Campbell, CA
226 Employees
On-site Workplace
Year Founded: 2018

What We Do

Founded in 2018, Campbell, CA-based Acceldata has developed the world's first enterprise data observability platform to help enterprises build and operate great data products.

Acceldata's solutions have been embraced by global customers, such as Dun & Bradstreet, Verisk, Oracle, PubMatic, PhonePe (Walmart), and many more.

Acceldata investors include Insight Partners, March Capital, Industry Ventures, Lightspeed, Sorenson Ventures, Sanabil, and Emergent Ventures. Contact us to learn about the benefits of data observability.

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