Gen AI Architect

Strong AI/ML architect with expertise & experience in GenAI. Have implemented multiple AI/ML systems, Solutions in Life Science space., * Design and lead the implementation of AI-driven solutions aimed at optimizing operational processes and workflows.

• Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
• Utilize pre-trained large language models (LLMs) and other Generative AI techniques to develop personalized responses tailored to operators’ needs.
• Architect and oversee the development of knowledge bases and databases to store and retrieve relevant information efficiently.
• Implement unsupervised techniques for data categorization and classification to enhance recommendation accuracy.
• Explore and integrate state-of-the-art AI technologies and methodologies to continuously improve system performance.
• Ensure scalability, reliability, and security of AI solutions deployed in production environments.
• Stay updated on emerging trends and advancements in AI, machine learning, and related fields to drive innovation within the organization.

• Bachelor’s degree or higher in Computer Science, Engineering, or a related field. Advanced degree preferred.
• Proven experience in designing and developing AI-driven solutions, with a focus on Generative AI and Natural Language Processing (NLP).
• Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks (e.g., TensorFlow, PyTorch).
• Strong understanding of large language models (LLMs) and their applications in text generation and understanding.
• Experience with cloud platforms (e.g., AWS, Azure) and related services for deploying and managing AI solutions.
• Solid understanding of software engineering principles, including design patterns, data structures, and algorithms.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
• Strong analytical and problem-solving abilities, with a keen attention to detail.
• Demonstrated ability to drive innovation and lead technical initiatives from concept to production., * Experience with prompt engineering techniques for fine-tuning large language models.
• Knowledge of advanced machine learning techniques such as reinforcement learning and transfer learning.
• Familiarity with DevOps practices and tools for continuous integration and deployment (CI/CD).
• Experience working in Agile or other iterative development methodologies.
• Publications or contributions to the AI and machine learning community (e.g., research papers, open-source projects).

InterSources Inc, a Certified Diverse Supplier, was founded in 2007 and offers innovative solutions to help clients with Digital Transformations across various domains and industries. Our history spans over 16 years and today we are an Award-Winning Global Software Consultancy solving complex problems with technology. We recognize that our employees and our clients are our strengths as the diverse talents and opportunities they bring to the table enable us to grow as a global platform and they are causally linked with our success. We provide strategic and technical advice, and we have expertise in areas covering Artificial Intelligence, Cloud Migration, Custom Software Development, Data Analytics Infrastructure & Cloud Solutions, Cyber Security Services, etc. We make reasonable accommodations for clients and employees and we do not discriminate based on any protected attribute including race, religion, color, national origin, gender sexual orientation, gender identity, age, or marital status. We also are a Google Cloud partner company. We align strategy with execution and provide secure service solutions by developing and using the latest technologies that thrive our resources to deliver industry-leading capabilities to our clients and customers, making it convenient for our clients to do business with InterSources Inc. Our teams also drive growth by refining technology-driven client experiences that put the users first, providing an unparalleled experience. This results in strengthening the core technologies of clients, enabling them to scale with flexibility, create seamless digital experiences and build lifelong relationships.