4423596-Assistant Manager

EXL; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A leading business consulting firm in Bengaluru is seeking a Mid-Senior Level Data Scientist to lead development initiatives in the GenAI domain. You will focus on cutting-edge technologies including LLMs and develop workflows for real-world applications across various sectors. Ideal candidates will have 4–8 years of experience in data science, strong Python skills, and familiarity with cloud platforms. This is a full-time position offering opportunities for mentoring and innovative projects.

Qualifications

• 4–8 years of hands‑on experience in data science, focusing on NLP and machine learning.
• Proven experience in delivering NLP/LLM‑based solutions.
• Ability to handle end‑to‑end ownership of solutions.

Responsibilities

• Lead development initiatives in the GenAI domain.
• Design and implement advanced workflows for integrating LLMs.
• Collaborate with cross‑functional teams to prototype, test, and deploy solutions.

Skills

Python programming

NLP expertise

Deep learning

Machine learning applications

Cloud platform familiarity

Document databases

Graph databases

Tools

Scikit-learn

spaCy

NLTK

PyTorch

TensorFlow

Hugging Face

Job description

Lead development initiatives in the GenAI domain, focusing on cutting‑edge technologies like Large Language Models, Retrieval‑Augmented Generation, and autonomous agents. Design and implement advanced workflows for integrating LLMs into real‑world applications across various domains such as Finance, Insurance, and Healthcare. Develop and fine‑tune domain‑specific LLMs to optimize performance, using techniques like prompt engineering, adapter‑based tuning, or low‑rank adaptation. Architect and implement scalable solutions to enhance reasoning capabilities in AI systems. Drive the development of retrieval‑augmented systems by combining LLMs with document retrieval, clustering, and search techniques. Collaborate with cross‑functional teams to prototype, test, and deploy solutions in production environments, both on‑premise and in the cloud. Mentor and guide junior data scientist to foster innovation and ensure high‑quality deliverables. Stay at the forefront of AI advancements by reading, adapting, and implementing cutting‑edge research to solve real‑world challenges. Document research findings, methodologies, and implementations for internal and external stakeholders.

Qualifications

• 4–8 years of hands‑on experience in data science, with a focus on NLP, deep learning, and machine learning applications
• Strong programming skills in Python; experience with relevant libraries such as scikit‑learn, spaCy, NLTK, PyTorch, TensorFlow, or Hugging Face
• Proven experience in delivering NLP/LLM‑based solutions
• Familiarity with cloud platforms (AWS, Azure, or GCP) and experience with deploying AI models to production
• Ability to handle end‑to‑end ownership of solutions, from POC to deployment
• Prior experience in consulting or client‑facing data science roles is a plus
• Exposure to document databases (e.g., MongoDB), graph databases, or vector databases (e.g., FAISS, Pinecone) is a bonus

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Other

Industries

• Business Consulting and Services