Data Scientist

Designation: Data Scientist

Location: Gurgaon

Salary: Upto 35 LPA

Working: 5 Days

Experience: 5+ Years

Key Responsibilities:

-Design and fine-tune deep learning models for Text2SQL, TTS, and image generation tasks

-Build and optimize Generative AI models using GPT, BERT, T5, Claude, and similar LLMs

-Work with GANs (e.g., Wav2Lip, LipSync) for audio-visual synthesis

-Leverage NVIDIA frameworks like Triton and Omniverse

-Integrate AI models into scalable applications with optimal performance

-Fine-tune models for domain-specific use cases with a focus on accuracy

-Research advancements in NLP and diffusion models for fashion-based image generation

-Deploy and maintain AI solutions in production environments

-Build Retrieval-Augmented Generation (RAG) systems for better knowledge retrieval

-Use and manage vector/graph databases to support AI implementations

-Apply basic computer vision and image processing in real-world projects

-Benchmark AI model performance using standard metrics and datasets

-Develop custom object detection pipelines (YOLOv8, Faster R-CNN, SSD)

-Work closely with engineers, scientists, and stakeholders to meet business needs

Required Skills & Qualification:

-5+ years in AI/ML with a focus on Generative AI and LLMs

-Expert in Python, C++, and JavaScript

-Strong with PyTorch, TensorFlow, and Keras

-Experience in NLP, transformer models, and deep learning

-Knowledge of ML Ops tools is a plus

-Familiar with AWS, GCP, or Azure for cloud deployments

-Experience with RAG systems, vector (e.g., Faiss, Pinecone) & graph databases (e.g., Neo4j)

-Strong foundation in computer vision, CNNs, and object detection

-Familiar with OpenCV, PIL, and Agentic AI tools (LangGraph, CrewAI, AutoGen)

-Proficient in Flask, FastAPI, and WebSocket for serving AI models

-Strong grasp of benchmarking standards like GLUE, ImageNet, BLEU, ROUGE, COCO