Experience
8 - 13 yrs
Job Location
Mumbai, India
Vacancy
1
Designation
Data Scientist
Job Type
ONSITE
Job Description
Job_Description":"
Data Scientist Job Description
GenAI Data Scientist
BKC, Mumbai (WFO)
Fulltime to XTGlobal
Shift Hours : 8:30 AM \- 5:30 PM IST
About the\ Role
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
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:
Requirements Required\ Qualifications:
Bachelor\\ 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).