NLP Engineer - Data and AI
Location: Chennai, Bengaluru, and Hyderabad
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 seeking a motivated and enthusiastic NLP practitioner to contribute to solving complex problems for our clients. In this role, you will work on internal product development and support client-focused projects, with exposure to the pharma domain being a plus. You'll collaborate with experienced team members and learn to create impactful AI solutions while optimizing and developing GenAI applications. Your responsibilities will include:
. Supporting the design, development, and deployment of GenAI solutions, learning to address challenges like hallucinations, bias, and latency, while contributing to performance and reliability improvements.
. Collaborating with both internal teams and external stakeholders, particularly in the pharma space, to understand business requirements and contribute to the development of tailored AI-powered systems.
. Assisting in the full lifecycle of AI project delivery, including ideation, model fine-tuning, deployment, and performance monitoring under the guidance of senior team members.
. Learning and applying fine-tuning techniques (such as LoRA, PEFT) to Large Language Models (LLMs) for specific business needs.
. Assisting in the development of scalable pipelines for AI model deployment, including handling error management, monitoring, and retraining strategies.
. Actively participating in a collaborative environment, sharing ideas and working as part of a dynamic team of data scientists and AI engineers.
