Architect - AI/ML Engineer
4 weeks ago
ResponsibilitesCollaborate with data scientists and other AI professionals to augment digital transformation efforts by identifying and piloting use cases.Discuss the feasibility of use cases along with architectural design with product functional teams and translate the product vision into realistic technical implementation. At the same time, bring attention to misaligned initiatives and impractical use cases.Align technical implementation with existing and future requirements by gathering inputs from multiple stakeholders and developing processes and products based on the inputs.Play a key role in defining the AI architecture and selecting appropriate technologies from a pool of open-source and commercial offerings. Select cloud, on-premises or hybrid deployment models, and ensure new tools are well-integrated with existing data management and analytics tools.Audit AI tools and practices across data, models and software engineering with a focus on continuous improvement. Ensure a feedback mechanism to assess AI services, support model recalibration and retrain models.Work closely with audit, security and risk leaders to foresee and overturn risks, such as training data poisoning, AI model theft and adversarial samples, ensuring ethical AI implementation and restoring trust in AI systems. Remain acquainted with upcoming regulations and map them to best practices.Engage with data product managers, software engineers, and subject matter experts (SMEs) to pinpoint opportunities for leveraging AI/ML to enhance operational efficiency.Stay current with the latest advancements in machine learning and artificial intelligence, and actively shape the application of AI/ML within the life science industry.Provide mentorship to team of AI/ML engineers, fostering a collaborative environment conducive to ongoing research and development.RequirementsPreferred experience in the life science domain or a related field.6+ years of proven expertise in AI/ML architecture and Pipeline, demonstrating a history of architecting, managing progressively complex projects.Strong experience with Data Management / Big Data, Data Science and Analytics.Proficiency in one or more AI/ML domains, including NLP, text analytics, deep learning, generative AI, or related areas.Demonstrated ability to develop, deploy, evaluate, and monitor machine learning models to tackle real-world challenges.Strong programming capabilities in Python.Familiarity with GenAI tools like Langchain, LlamaIndex, and open-source Vector DBs.Excellent written and verbal communication skills, along with strong interpersonal abilities.Familiarity with MLOps platforms such as Kubeflow or MLFlow is advantageous.Knowledge of ML frameworks such as scikit-learn, TensorFlow, and PyTorch is a plus.Experience in software development lifecycle (SDLC) and DevOps practices.Advanced degree in Computer Science, Machine Learning, or a related discipline.
We’re on a MissionIn 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 JoinOur 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 WorkOur Chennai 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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