Specialist, Data Science-1

Job Description:

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 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, 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 Azure Open 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 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 (Anthropic, Claude, 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.