Associate Data Scientist

We seek a passionate and skilled Generative AI Specialist with expertise in state-of-the-art AI models and tools to join our team. The ideal candidate should possess hands-on experience with transformer-based models, prompt engineering, and fine-tuning large language models (LLMs) for real-world applications.

Design, develop, and deploy Generative AI solutions using GPT, Llama, Claude, and 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 incorporating text, image, and/or audio data, based on project requirements
• 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.

• 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.
• Proficient in Python and machine learning frameworks such as 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.