Specialist, Data Science - 1

Position Requirements

• We are seeking a highly motivated and enthusiastic Senior Data Scientist with over 8 years of experience to join our dynamic team
• The ideal candidate will have a strong backgroundin AI/ML analytics and a passion for leveraging data to drive business insights andinnovation

Key Responsibilities

• Develop and implement machine learning models and algorithms
• Work closely with project stakeholders to understand requirements and translatethem into deliverables
• Utilize statistical and machine learning techniques to analyze and interpret complexdata sets
• Stay updated with the latest advancements in AI/ML technologies andmethodologies
• Collaborate with cross-functional teams to support various AI/ML initiatives
• Qualifications: Bachelors degree in Computer Science, Data Science, Statistics, Mathematics, or arelated field
• Strong understanding of machine learning , deep learning and Generative AIconcepts

Preferred Skills:

• Experience in machine learning techniques such as Regression, Classification,Predictive modeling, Clustering, Computer vision(yolo),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 OR AzureOpen AI/ OpenAI) and LLM Frameworks (e.g, LangChain OR LlamaIndex OR RAG) Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure
• Expertise in building enterprise grade, secure data ingestion pipelines (ETL Gluejob,Quicksight) for unstructured data including indexing, search, and advanceretrieval patterns
• Knowledge of effective text chunking techniques for optimal processing andindexing of large documents or datasets
• Proficiency in generating and working with text embeddings with understanding ofembedding 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 combineknowledge 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) andframeworks
• (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.