Data Scientist

Key Responsibilities:

• Develop and optimize Generative AI models (GPT, LLaMA, Stable Diffusion, DALLE, MidJourney, etc.)
• Fine-tune LLMs and diffusion models to meet specific business needs.
• Implement retrieval-augmented generation (RAG) and integrate AI-powered applications into production.
• Work with prompt engineering, transfer learning, and custom model training.
• Develop and deploy AI models using cloud platforms (AWS, GCP, Azure) and MLOps best practices.
• Optimize model performance for scalability, efficiency, and cost-effectiveness.
• Work with vector databases (FAISS, Pinecone, Weaviate) to enhance AI applications.
• Stay updated with the latest trends in AI, deep learning, and NLP and apply research into real-world use cases.

Required Skills & Qualifications:

• 4+ years of hands-on experience in AI/ML development with expertise in Generative AI.
• Proficiency in Python, TensorFlow, PyTorch, or JAX for deep learning model development.
• Strong experience with LLMs (GPT, BERT, T5, Claude, Gemini, etc.) and Transformer architectures.
• Knowledge of computer vision, NLP, and multimodal AI.
• Hands-on experience with Hugging Face, LangChain, OpenAI APIs, and fine-tuning techniques.
• Experience in deploying AI models using cloud platforms, Kubernetes, and Docker.
• Familiarity with MLOps, data pipelines, and vector databases.
• Strong problem-solving and analytical skills to tackle AI challenges.

Preferred Skills:

• Experience in AI-powered chatbots, speech synthesis, or creative AI applications.
• Knowledge of distributed computing frameworks (Ray, Spark, Dask).
• Understanding of Responsible AI practices, model bias mitigation, and explainability.

Why Join Us?

• Work on cutting-edge AI solutions with real-world impact.
• Collaborate with leading AI researchers and engineers.
• Competitive salary, remote work flexibility, and upskilling opportunities.