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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.
- 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
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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Skills Required
- 16-20 years working with deep learning frameworks (Keras, PyTorch, TensorFlow)
- Designing, building and deploying ML/NLP solutions (end-to-end)
- Proficient in Python and SQL
- Experience with NLP tools and libraries (Gensim, spaCy, Stanford NLP, HuggingFace)
- Hands-on experience with generative AI and SaaS LLMs (LangChain, LlamaIndex, vector DBs, prompt engineering techniques)
- Experience with cloud ML platforms (Azure OpenAI, Google Vertex AI, AWS Bedrock) and cloud providers (Azure, AWS, GCP)
- Familiarity with open-source LLM tooling and techniques (HuggingFace, quantization, PEFT, RLHF, GPU utilization)
- Application development proficiency (Docker, FastAPI/Django/Flask, Git)
- Consulting experience in Financial Services / Banking domain (minimum 3 years)
- Excellent project/program management skills; experience managing multiple work streams/projects
- Business acumen to manage revenues, quantify client business value, and meet financial goals
- Experience automating data visualizations (Tableau, Qlik, ggplot, Shiny)
- Client relationship management, sales support, account growth, firm-building and coaching capabilities
- B.E/B.Tech/M.Tech in Computer Science or related technical degree or equivalent
Fractal Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fractal and has not been reviewed or approved by Fractal.
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Healthcare Strength — Health coverage includes medical, dental, and vision along with tax‑advantaged accounts and EAP in the U.S., indicating a broad core package. Feedback suggests core protections exist across regions, though specifics can vary by location.
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Leave & Time Off Breadth — Time‑off programs include generous PTO, paid holidays and sick time, paid volunteer time, and sabbaticals in some areas. Some accounts also describe manager‑approved or flexible PTO approaches alongside hybrid/WFH latitude.
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Flexible Benefits — Work arrangements commonly include remote/hybrid options and flexible schedules. Flexibility is frequently highlighted as part of the overall value proposition.
Fractal Insights
What We Do
Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies. Fractal's products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence to assists CEOs, and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions, and Eugenie.ai to find anomalies in high-velocity data & Samya.ai to drive next-generation Enterprise Revenue Growth Management. Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, and recognized as an "Honorable Vendor" in 2021 Magic Quadrant™ for data & analytics by Gartner.







