Responsible to work independently and/or lead team of Data Scientists to design and develop pipelines for develop and implement enterprise-level GenAI models and tools to solve business problems Responsible to work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions Conduct research to identify emerging trends and technologies in Gen AI and other areas of data science Build toolsets and re-usable components for our future projects and ideas Automate the AI solution to achieve maximum efficiency Write modularised, production ready code that is easily scalable across data volume and business functions Manage project delivery with your Manager through regular meetings, extensive documentation and clear timeline setting Develop processes and tools to monitor and analyze model performance and data accuracy Train junior team members on NLP and ML techniques Who you are You holds a bachelor degree B Tech /BE specialization in Computer Science preferred and 5-8 years of experience in the data science / ML space is necessary. Preferably, you have a MasterDegree Data Science, Machine Learning. certifications on AI/ML/Data science would be an added advantage Knowledge of US/Europe pharmaceutical market and experience with pharmaceutical data would be a plus, but not a must Knowledge and experience in Generative AI. Knowing Docker, Kubernetes and cloud platforms (especially AWS) is added advantage Knowledge from area of embedding representations and deep learning based solutions for NLP (e.g. word2vec, Gensim) Understanding of basic concepts from area of Text Mining, NLP and NLU, hands-on experience with regular expressions Prompt Engineering:be able to craft effective prompts and instructions to guide models towards desired outputs, ensuring coherence, factual accuracy, and alignment with ethical considerations Model Optimization:Leverage techniques like RAG, Fine tuning to optimize models Experience with modern deep learning architectures for NLP (encoder-decoder, transformers, attention), including: hands-on experience with using transformers like Huggingface, SBert, GPT-2/GPT-3 capability to build ML/DL pipeline for training/tuning model (including transfer learning) At least 3 years of experience with our typical NLP tools used in daily work: scikit learn, numpy, pandas pytorch or tensorflow spaCy, NLTK 3+ years of general experience in NLP/AI software engineering, especially - proficiency with Python a must and with PySpark will be good to have experience with Git, Gitlab knowing Jira, CI/CD tools is nice to have understanding of software testing (unit tests, integration tests, smoke tests) good software engineering practices, design patterns bash/shell scripting is nice to have experience with Docker, API development is a plus experience with cloud platforms (preferred AWS) Excellent written and verbal communication skills for coordinating across teams and ability to deliver fully working products (deployment activities) Possess strong analytic mindset and logical thinking capability, strong QC mindset and general understanding of AGILE Project Delivery process Demonstrates consulting, creativity, critical thinking, project planning, and attention to detail capabilities