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, QA 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

Principal Data Scientist