Data Scientist

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