GenAI Data Scientist

XTGLOBAL INFOTECH LIMITED; Mumbai; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A technology solutions provider is seeking a GenAI Data Scientist in Mumbai. The role involves expertise in Machine Learning, AI, and Generative AI, focusing on developing and deploying AI/ML solutions. Candidates should possess a Bachelor's degree in Computer Science and 3-5 years of relevant experience. Responsibilities include building ML pipelines, collaborating with teams, and staying updated on AI trends. The position offers a full-time contract with opportunities for innovation in the field of AI.

Qualifications

• 3-5 years of experience in ML/AI with hands-on expertise.
• Functional expertise in a business domain such as Finance or Healthcare.
• Strong understanding of NLP and predictive modeling.

Responsibilities

• Develop and deploy end-to-end ML/AI pipelines.
• Design and implement GenAI solutions using large language models.
• Collaborate with engineers to integrate models into workflows.

Skills

Machine Learning

Artificial Intelligence

Generative AI

Natural Language Processing

Deep Learning

Education

Bachelor's degree in Computer Science or related field

Advanced degree (M.Tech/MS/MBA/PhD)

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

• Date Opened 11/26/2025
• Job Type Full time
• Work Experience 8+ Years
• State/Province Maharashtra
• Country India

Job Description

Data Scientist Job Description

GenAI Data Scientist

Fulltime to XTGlobal

About the Role

We are seeking a highly skilled GenAI Data Scientist with expertise in Machine Learning (ML), Artificial Intelligence (AI), and Generative AI (GenAI) to join our team. The ideal candidate will have a strong foundation in traditional data science methods along with hands‑on experience in building, fine‑tuning, and deploying generative AI models for business applications.

This role will involve working closely with cross-functional teams to design, develop, and deploy AI/ML solutions, leveraging both classical approaches (predictive modeling, optimization, NLP, forecasting, computer vision) and cutting‑edge generative AI techniques (LLMs, diffusion models, multi‑modal AI).

Key Responsibilities

• Develop and deploy end‑to‑end ML/AI pipelines, from data collection, preprocessing, and feature engineering to model training, evaluation, and deployment.
• Apply traditional ML/AI techniques (regression, classification, clustering, recommendation systems, optimization).
• Design and implement GenAI solutions using large language models (LLMs), transformers, and multimodal architectures (text, image, audio).
• Fine‑tune, evaluate, and optimize foundation models (e.g., GPT, LLaMA, Claude, Falcon, Stable Diffusion) for enterprise use cases.
• Research, experiment, and prototype cutting‑edge AI solutions tailored to business problems.
• Collaborate with data engineers, ML engineers, and domain experts to productionize models and integrate them into business workflows.
• Containerize and orchestrate models and pipelines (Docker, Kubernetes).
• Stay updated with the latest trends in AI, ML, and GenAI, and drive innovation and adoption of new methods.

Requirements

• Bachelor’s degree (B.Tech, BE, or equivalent) in Computer Science, Data Science, AI, or related field.
• Advanced degree (M.Tech/MS/MBA/PhD) is a plus but not mandatory.
• 3-5 years of experience in ML/AI, with hands‑on expertise in building and deploying models.
• Functional expertise in at least one business domain (e.g., Supply Chain, Finance, Healthcare, Pharma, Customer Analytics, Manufacturing).
• Strong understanding of NLP, predictive modeling, deep learning architectures (CNNs, RNNs, Transformers).
• Experience with cloud AI platforms (AWS, Azure, GCP) and MLOps tools (Docker, Kubernetes, CI/CD).
• Strong stakeholder management and ability to communicate technical insights in business terms.