Summary

We are seeking a highly skilled QA Engineer with good knowledge of ML to ensure the quality and accuracy of the machine learning models developed by our company.

As an Data Scence & ML QA Engineer, you will work closely with data scientists, software engineers, DevOps engineers, and other stakeholders to design and execute test plans and test cases to validate the machine learning models. You will also be responsible for identifying and reporting defects and working with the development team to resolve them.

Job Responsibilities:

• Design and execute test plans and test cases to validate the machine learning models.
• Collaborate with data scientists, software engineers, and other stakeholders to identify and prioritize test scenarios and use cases.
• Develop and maintain test automation frameworks for machine learning models.
• Document and report test results and defects
• Work with the development team to resolve defects and ensure the quality and accuracy of the machine learning models.
• Ensure the security and privacy of the machine learning models and data.
• Stay up to date with the latest advancements in DevOps and ML Ops and recommend new tools and techniques to improve our operations.

Requirements / Skills :

• Bachelors / master’s degree in information or computer science required – B.Tech, MCA, MS Computers.
• 3+ years of experience in ML QA or related field
• Programming skills in Python, Java, or other programming languages
• Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
• Experience with cloud-based infrastructure such as AWS, and Microsoft Azure
• Experience with testing tools and frameworks such as Selenium, JMeter, or Robot Framework
• Strong analytical and problem-solving skills
• All-round communication skills and ability to work collaboratively.

Competencies

Integrity – Behaves in an honest, fair, and ethical manner; shows consistency in words and actions; does what she/he commits to doing; respects the confidentiality of information or concerns shared by others; is honest and forthright with people; carries his/her fair share of the workload; takes responsibility for own mistakes.

Client Focus – Takes action with the clients, both internal and external, and sees their needs as a primary focus; builds a sustaining collaborative and productive relationship with clients; seeks to understand client situations, issues, expectations, etc.; takes appropriate action to meet client needs and address concerns; implements or utilizes methods to monitor and evaluate client feedback.

Results-Driven – Sets stretch goals for personal and team accomplishment and works tenaciously to achieve those goals; acts with a sense of urgency; takes the initiative on actions; identifies what needs to be done and takes action before being asked; does more than what is normally required in a situation; establishes metrics to monitor progress and measure success; maintains focus by avoiding or overcoming roadblocks.

Entrepreneurial Orientation – Proposes innovative business opportunities/ideas to customers and business partners; encourages and supports entrepreneurial behavior in others; demonstrates willingness to take calculated risks to achieve business goals.

Decisiveness – Makes well-informed, effective, and timely decisions even when data is limited, or solutions produce unpleasant consequences; perceives the impact and implications of decisions; can make tough decisions.