Machine Learning (ML) Test engineer

• Develop and execute test plans for machine learning models and algorithms, ensuring high-quality performance
• Conduct various types of testing, including functional, performance, and robustness testing
• Identify, document, and track defects, providing detailed reports to development teams
• Collaborate with data scientists and engineers to understand requirements and design test cases
• Analyse test results and provide recommendations for improvements and bug fixes

Requirements

• 5+ years of professional experience in quality assurance
• Hands-on experience in API testing & developing automation test scripts for Embedded/IOT Platforms
• Deep understanding of automation testing and writing automation scripts
• Experience with frameworks like DeepEval, Promptfoo, Deep Check
• Experience driving cross-team technical discussions with an understanding of SDLC concepts
• Preferred AWS certified Machine Learning Engineer

Benefits

Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.

Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global canters.

Work-Life Balance: Accellor prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.

Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training, Stress Management program, professional certifications, and technical and soft skill trainings.

Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Personal Accident Insurance, Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.

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Last updated on Aug 13, 2024