Test Engineer, AI/ML

About ValGenesis ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle Learn more about working for ValGenesis, the de facto standard for paperless validation in Life Sciences:
About the Role:

ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle Responsibilities: Part of a team (BA/PO, Developers, SDETs etc) that develops enterprise software applications. Understand the business requirements and design, development/coding aspects. Participate in the complete development life cycle. Design and Implement test strategy, test plan, test cases, test automation and execution. Focus on validating the functionality, performance and reliability of AI/ML models. Evaluate various aspects of AI/ML models, including functionality, performance, accuracy, bias, robustness and safety. Track model performance, identify issues and provide regular reports on quality and reliability Craft and refine the prompts or instructions to guide, develop the Generative AI models Strive for self-excellence along with enabling success of the team/stakeholders. Requirements: 2 to 6 years of experience with enterprise software product development lifecycle/phases. Blend of software testing experience with strong knowledge of AI/ML concepts, tools, frameworks. Strong understanding of Generative AI model algorithms, training and deployment processes. Experience in evaluating model performance using metrics like Accuracy, Precision, Recall, F1-Score, Latency, Stress etc Experience in prompt engineering and assessing models for bias, fairness and ethical concerns. Experience in validating data quality and integrate throughout the model development lifecycle. Experience in crafting and refining prompts to guide Large Language Models (LLM) and Small Language Models (SLM) Experience in Python programming and tools like OpenAI, TensorFlow, PyTorch, DialogFLow etc. Experience in integrating testing processes into CI/CD pipelines. We're on a Mission In 2005, we disrupted the life sciences industry by introducing the world's first digital validation lifecycle management system. ValGenesis VLMS revolutionized compliance-based corporate validation activities and has remained the industry standard Today, we continue to push the boundaries of innovation ― enhancing and expanding our portfolio beyond validation with an end-to-end digital transformation platform. We combine our purpose-built systems with world-class consulting services to help every facet of GxP meet evolving regulations and quality expectations
The Team You'll Join Our customers' success is our success. We keep the customer experience centered in our decisions, from product to marketing to sales to services to support. Life sciences companies exist to improve humanity's quality of life, and we honor that mission.​ We work together. We communicate openly, support each other without reservation, and never hesitate to wear multiple hats to get the job done We think big. Innovation is the heart of ValGenesis. That spirit drives product development as well as personal growth. We never stop aiming upward We're in it to win it. We're on a path to becoming the number one intelligent validation platform in the market, and we won't settle for anything less than being a market leader.​
How We Work Our Chennai, Hyderabad and Bangalore offices are onsite, 5 days per week. We believe that in-person interaction and collaboration fosters creativity, and a sense of community, and is critical to our future success as a company ValGenesis is an equal-opportunity employer that makes employment decisions on the basis of merit. Our goal is to have the best-qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics protected by local law.

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