India · Director
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Senior Hiring ? GenAI, Data and AI Labs Location: India Who we are? Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence. We are a Great Place to Work-Certified? (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ?Best? and ?Fastest Growing? analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. Curious about the role? What your typical day would look like? ? We?re looking for a talented and driven senior NLP practitioner to contribute to solving complex problems for our clients. You will contribute to both internal product development and client-focused projects, with a preference for candidates who have experience in the pharma domain. In this role, you will work closely with senior leadership to create transformative AI solutions for our clients while building and optimizing GenAI applications. As part of this role, you will: ? Lead the design, development, and deployment of GenAI solutions, addressing challenges like hallucinations, bias, and latency, while ensuring performance and reliability. ? Collaborate with external and internal stakeholders, particularly in the pharma space, to understand business needs and create AI-powered systems tailored to their requirements. ? Lead full-lifecycle AI project delivery, including ideation, model fine-tuning, deployment, and continuous monitoring to maintain high performance in production environments. ? Apply advanced fine-tuning techniques (LoRA, PEFT) to Large Language Models (LLMs) for specific business needs, particularly in the pharma sector. ? Develop scalable pipelines to deploy AI models, including handling error management, robust monitoring, and retraining strategies. ? Mentor and lead a team of data scientists and AI engineers, fostering a culture of innovation, collaboration, and technical excellence.
9 to 15 years
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