Job Description : We are seeking a highly motivated and enthusiastic Data Scientist with over 2-3 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 :

- Bachelors 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.