Associate Data Scientist

We are looking for a passionate and skilled Generative AI Specialist with expertise in state-of-the-art AI models and tools to become a valuable member of our team. The ideal candidate should have hands-on experience with transformer-based models, prompt engineering, and fine-tuning large language models (LLMs) for practical applications. As a Generative AI Specialist, your responsibilities will include designing, developing, and implementing Generative AI solutions using models such as GPT, Llama, Claude, and other open-source resources. You will be expected to fine-tune and optimize pre-trained models on specific datasets, build and evaluate prompts, and create retrieval-augmented generation (RAG) pipelines for various LLM applications. Additionally, you will work on developing multimodal models that combine text, image, and/or audio data based on project requirements, collaborating with product, data science, and engineering teams to integrate AI capabilities into our products. It is important to stay updated with the latest developments in generative AI and apply them to solve business problems effectively. Furthermore, you will be responsible for maintaining model performance through testing, benchmarking, and continuous improvements. Key Skills Requirements: - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field - Demonstrated 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 tools such as Hugging Face Transformers, LangChain, or LlamaIndex - Deep understanding of model fine-tuning, embeddings, and vector databases (e.g., FAISS, Pinecone) - Familiarity with cloud platforms like AWS, Google Cloud Platform (GCP), or Microsoft Azure - Strong analytical and problem-solving skills with a collaborative mindset for fast-paced environments - Experience in 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 Join us at Beinex and enjoy a range of perks including comprehensive health plans, learning and development opportunities, workation and outdoor training, a hybrid working environment, and on-site travel opportunities. Be part of a dynamic team that values innovation and growth.,