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Data Scientist - Artificial Intelligence/Machine Learning

NexusLink Services India Pvt Ltd

Ahmedabad District

On-site

INR 12,00,000 - 18,00,000

Full time

Today
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Job summary

A leading AI solutions provider in Ahmedabad District is seeking a skilled Data Scientist specializing in Generative AI. The role involves designing and deploying AI models, developing ML pipelines, and integrating solutions into applications. Candidates should possess strong Python skills, proficiency in deep learning frameworks, and a deep understanding of Generative AI architectures. Join a forward-thinking team to tackle real-world business challenges.

Qualifications

  • Strong proficiency in Python and deep learning frameworks.
  • Deep understanding of Generative AI architectures.
  • Hands-on experience with model deployment on cloud platforms.

Responsibilities

  • Design, develop, and fine-tune advanced Generative AI models.
  • Collaborate with engineering teams to integrate AI models into applications.
  • Ensure model outputs comply with ethical AI standards.

Skills

Python programming
TensorFlow
PyTorch
HuggingFace Transformers
NLP concepts

Tools

AWS
GCP
Azure
FAISS
Pinecone
Job description

Role Overview

We are seeking a highly skilled Data Scientist specializing in Generative AI to design, develop, and deploy state-of-the-art AI models solving real-world business challenges. You will work extensively with Large Language Models (LLMs), Generative Adversarial Networks (GANs), Retrieval-Augmented Generation (RAG) frameworks, and transformer architectures to create production-ready solutions across various areas.

Responsibilities :

  • Design, develop, and fine-tune advanced Generative AI models such as LLMs, GANs, and Diffusion models.
  • Implement and enhance RAG and transformer-based architectures for contextual understanding and document intelligence.
  • Customize and optimize LLMs for specific domain applications.
  • Build, maintain, and optimize ML pipelines and infrastructure for model training, evaluation, and deployment.
  • Collaborate with engineering teams to integrate AI models into user-facing applications.
  • Stay updated with the latest trends and research in Generative AI, open-source frameworks, and tools.
  • Analyze model outputs for quality and performance, ensuring adherence to ethical AI standards.

Skills :

  • Strong proficiency in Python and deep learning frameworks including TensorFlow, PyTorch, and HuggingFace Transformers.
  • Deep understanding of GenAI architectures including LLMs, RAG, GANs, and Autoencoders.
  • Experience with fine-tuning models using techniques such as LoRA, PEFT, or equivalents.
  • Knowledge of vector databases (e.g., FAISS, Pinecone) and embedding generation methods.
  • Experience handling datasets, preprocessing, and synthetic data generation.
  • Solid grasp of NLP concepts, prompt engineering, and safe AI practices.
  • Hands-on experience with API development, model deployment, and cloud platforms (AWS, GCP, Azure).
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