Principal Data Scientist

Fractal; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Fractal Bengaluru is seeking an NLP Lead Data Scientist to transform unstructured text into actionable insights. You will build and tune NLP models, apply LLMs, and collaborate with cross-functional teams to deliver scalable AI solutions for client engagements.

The role requires deep learning expertise, strong Python and SQL skills, and experience with cloud platforms. You will mentor juniors, drive end-to-end product development, and stay updated on generative AI advances.

Qualifications

• Extensive DL experience (16–20 years).
• Design, build and deploy ML/NLP solutions.
• Proficient in Python and SQL.
• Experience with Gensim, SpaCy, Stanford NLP or HuggingFace.
• Strong project/program management and client handling skills.
• Able to quantify business value for clients.

Responsibilities

• Identify intent/entities from unstructured text data.
• Design NLP/LLM-based solutions and evaluate models.
• Own end-to-end solution delivery and research latest AI trends.
• Train and fine-tune NLP models; run evaluation experiments.
• Collaborate with cross-functional teams to integrate systems.

Skills

NLP

Computer Vision

Generative AI

LLMs

Python

Cloud platforms

SQL

Education

B.E./B.Tech./M.Tech in CS

Tools

Docker

TensorFlow

PyTorch

HuggingFace

Keras

FastAPI

Git

Job description

It’s fun to work in a company where people truly BELIEVE in what they are doing!

We’re committed to bringing passion and customer focus to the business.

About Fractal

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

Job Description

As an NLP Lead Data Scientist, you will be building solutions that require analyzing and transforming natural language data into useful outcomes using NLP techniques. To succeed in this role, you should possess outstanding skills in statistical analysis, machine learning methods and text representation techniques and language models, consulting experience in FS, banking domain, good communication and client handling skill.

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.
• 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 frameworks like Keras, Pytorch, TensorFlow.
• Experience of design, building and deployment of ML/NLP solutions.
• Proficient in Python & SQL.
• Experience in NLP tools like Gensim, 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.