GenAI Data Scientist

Data Scientist Job Description

BKC, Mumbai (WFO)

Fulltime to XTGlobal

Shift Hours : 8:30 AM - 5:30 PM IST

About the

Role

We are seeking a

• highly skilled GenAIData
• 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

Required

Qualifications

·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).

·Proficiency

in Python, PyTorch/TensorFlow, scikit-learn, Hugging Face, LangChain.

·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.