3.0 - 7.0 years

0 Lacs

karnataka

On-site

The Senior Associate-Data & ML Engineering will be responsible for validating and testing AI/ML models to ensure their accuracy and reliability. Working from the office during day shifts, you will need a deep understanding of AI/ML validation and testing processes to enhance data-driven solutions effectively. You will lead the validation and testing of AI/ML models, ensuring they meet quality standards and performance benchmarks. Collaborating with data scientists and engineers, you will oversee the implementation of AI/ML concepts to enhance model accuracy and efficiency. Developing comprehensive test plans and strategies, you will analyze test results to optimize AI/ML models continually. Your responsibilities will include providing technical expertise in AI/ML validation and testing, collaborating with cross-functional teams, and driving innovation in AI/ML testing processes. Additionally, you will ensure compliance with industry standards, document testing procedures, and communicate outcomes effectively to stakeholders. To excel in this role, you should possess a strong understanding of AI/ML concepts, expertise in validation and testing methodologies, and proficiency in AI/ML testing tools and frameworks. A background in data engineering and machine learning principles, along with problem-solving skills and attention to detail, will be essential. Keeping abreast of industry trends and advancements in AI/ML is also crucial. Certifications Required: Certified Machine Learning Specialist AI/ML Testing Certification,

Posted 14 hours ago

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AI - QA Engineer techjays

3.0 - 8.0 years

0 Lacs

coimbatore, tamil nadu

On-site

As an AI QA Engineer at Techjays, you will have the exciting opportunity to be part of a global team that is shaping the future of artificial intelligence. Techjays is a leading company in the AI space, dedicated to empowering businesses worldwide by creating transformative AI solutions. Our collaborative and agile approach, combined with deep expertise, enables us to deliver impactful technology that drives meaningful change across industries. Join a team of professionals who have honed their skills at renowned companies such as Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini. At Techjays, you will work on cutting-edge projects that redefine industries, leverage the latest technologies, and contribute to solutions that have a real-world impact. If you are passionate about AI, adept at testing complex systems, and committed to maintaining high standards of quality, this role is tailor-made for you. Your primary responsibilities as an AI QA Engineer will include designing, writing, and executing test plans and test cases for AI/ML-based applications. You will collaborate closely with data scientists, ML engineers, and developers to ensure the quality, safety, and reliability of our AI-powered products and features. Conducting functional, regression, and exploratory testing on AI components and APIs will be a key part of your role. Additionally, you will validate model outputs for accuracy, fairness, bias, and explainability, and implement adversarial testing, edge cases, and out-of-distribution data scenarios. To excel in this role, you must possess foundational QA skills with a strong knowledge of test design, defect management, and the QA lifecycle. Having experience with risk-based testing and QA strategy is essential. Furthermore, a basic understanding of machine learning workflows, training/inference cycles, and AI quality challenges such as bias, fairness, and transparency is required. Proficiency in Python programming for test automation, hands-on experience with API testing tools, and familiarity with Git, CI/CD pipelines, and integration testing are also key technical capabilities for this role. In addition to technical skills, soft skills such as excellent analytical thinking, attention to detail, strong collaboration, and communication abilities are vital. A proactive work ethic, passion for learning new technologies, and contributing to AI quality practices are qualities that will set you up for success at Techjays. Techjays offers competitive compensation packages, paid holidays, flexible paid time away, a casual dress code, and a flexible working environment. Medical insurance covering yourself and your family, professional development opportunities in an engaging, fast-paced environment, and a diverse multicultural work environment are some of the benefits of being part of Techjays. Embrace the opportunity to work in an innovation-driven culture that provides the support and resources needed for your success in shaping the future with AI.,

Posted 3 days ago

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