Principal Data Scientist

Job Description - Responsibilities: - Build Solutions that identify intent and entities, other features from user comments, chat transcript and other unstructured text data. - Design and implement advanced solutions utilizing NLP traditional Models and Large Language Models (LLMs). - Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. - Conduct research and stay informed about the latest developments in generative AI and LLMs. - Train and fine-tune pre-trained NLP models and run evaluation experiments. - Perform statistical analysis of results and refine models. - Basic logical pseudo code writing. - Develop and maintain code libraries, tools, and frameworks to support generative AI development. - Participate in code reviews and contribute to maintaining high code quality standards. - Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. - Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. - Possess strong analytical and problem-solving skills. - Demonstrate excellent communication skills and the ability to work effectively in a team environment. - Primary skills: - Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation. - AND/OR - Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis. - Generative AI: - Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. - Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization. - Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. - Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git - Domain Skill: Consulting experience with FS,Banking domain for at least 3 years. - Required qualifications: - 16-20 years into Deep Learning framewokrs like Keras, Pytorch, TensorFlow - Experience of design, building and deployment of ML/NLP Solutions - Proficient in Python & SQL - Experience in NLP tools like Genism, spacy, Stanford NLP, HuggingFace - Must have excellent project/program management skills and have experience managing multiple work streams and projects at one time - Have business acumen to manage revenues profitably and meet financial goals consistently. Able to quantify business value for clients and create win-win commercial propositions. - Preferred qualifications: - Experience automating data within Tableau/Qlik/ggplot/Shiny to tell a story through interactive visualizations - Client relationship management: Build deep client relationship, network & be a thought partner. Anticipate business problems & deliver par excellence. - Sales Support & account growth: Actively focus on opportunities to grow the client along with the senior engagement manager. Support the sales team as required for RFPs and regular sales pitches - Firm building: Contribute to firm growth by participating and conducting training sessions. - Coaching & grooming: Coach & groom the team on gaining knowledge & skills on first principles of analytics techniques, problem-solving, project management, client relationship management - EDUCATION: - B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent