Job Description

Job Description: We are seeking a highly motivated and enthusiastic Data Scientist with over 3-5 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities: ? Develop and implement machine learning models and algorithms. ? Work closely with project stakeholders to understand requirements and translate them into deliverables. ? Utilize statistical and machine learning techniques to analyze and interpret complex data sets. ? Stay updated with the latest advancements in AI/ML technologies and methodologies. ? Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications: ? Bachelor?s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. ? Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills: ? Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack, NLP using python ? Strong knowledge and experience in Generative AI/ LLM based development. ? Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). ? Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure. ? Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data ? including indexing, search, and advance retrieval patterns. ? Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. ? Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. ? Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. ? Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. ? Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL ? Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). ? Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). ? Experience with version control systems (e.g., Git, CodeCommit). Good to have Skills ? Knowledge and Experience in building knowledge graphs in production. ? Understanding of multi-agent systems and their applications in complex problem solving scenarios.