Associate Data Scientist

Job Description

Highlights Experience 1-3 Years Joining Date Immediate or max 30 days’ Notice Period Qualification Bachelor's or Master’s in Computer Science, AI, Machine Learning, or related fields Job Description 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. Responsibilities 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. Key Skills Requirements 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. Perks: Careers at Beinex Comprehensive Health Plans Learning and development Workation and outdoor training Hybrid working environment On-site travel Opportunity Beinex Branded Merchandise