Associate Data Scientist

Role Overview: You will be a Generative AI Specialist responsible for designing, developing, and deploying Generative AI solutions using various open-source models. Your role will involve fine-tuning pre-trained models, building and evaluating prompts, developing multimodal models, collaborating with cross-functional teams, and staying updated with the latest advancements in generative AI. Key Responsibilities: - Design, develop, and deploy Generative AI solutions using GPT, Llama, Claude, and other open-source models. - Fine-tune and optimize pre-trained models on domain-specific datasets. - Build and evaluate prompts and retrieval-augmented generation (RAG) pipelines for LLM applications. - Develop and enhance multimodal models integrating text, image, and/or audio data. - Collaborate with product, data science, and engineering teams to integrate AI capabilities into products. - Stay updated with the latest developments in generative AI and apply them to business problems. - Maintain model performance through testing, benchmarking, and continuous improvements. Qualification Required: - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. - Proven expertise in on-premises infrastructure and technologies. - 1-3 years of practical experience with Natural Language Processing (NLP) or generative AI models. - Proficiency in Python and machine learning frameworks like PyTorch or TensorFlow. - Hands-on experience with Hugging Face Transformers, LangChain, or LlamaIndex. - Deep understanding of model fine-tuning, embeddings, and vector databases (e.g., FAISS, Pinecone). - Familiarity with cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure. - Strong analytical and problem-solving abilities, with a collaborative mindset in fast-paced environments. - Experience working with diffusion models, image/video generation, or speech synthesis. - Knowledge of MLOps tools and end-to-end model deployment pipelines. - Contributions to open-source AI/ML projects are highly valued.,