Data Scientist/ GenAI

Responsibilities:
Develop models for prediction, classification, clustering, and other use cases. Expertise in Python, TensorFlow Strong grasp of math and statistics. Build and optimize neural networks for advanced use cases (e.g., NLP, image recognition, andGenAI). Proficiency in frameworks like TensorFlow, PyTorch Develop models for text processing, chatbots, sentiment analysis, and language generation. Design and implement generative models (GANs, VAEs, diffusion models, LLMs). Fine-tune pre-trained models like GPT, PaLM, or Stable Diffusion for specific use cases. Experiment with architectures to optimize generation quality and performance. Collect and preprocess datasets for training generative models. Implement techniques for data augmentation, tokenization, and text/image encoding. Build APIs or microservices to integrate GenAI models with client applications. Work on user-facing interfaces for content generation and interaction.

Technical Skills

• Programming Languages: Python (primary), familiarity with R, C++, or Julia is a plus.
• Deep Learning Frameworks: TensorFlow, PyTorch• Generative Models: GANs, VAEs, Transformers, Diffusion Models.• NLP Tools: Hugging Face, SpaCy, NLTK, OpenAI API.• Computer Vision Tools: OpenCV, DALL-E, Stable Diffusion.• Cloud Platforms: AWS (SageMaker), Azure, GCP (Vertex AI).• MLOps Tools: Docker, Kubernetes, MLflow, Airflow, FastAPI.