Data Scientist

We are seeking a highly motivated and enthusiastic

Data Scientist

withover 2-3 years of experience to join our dynamic team. The ideal candidate will have astrong background in AI/ML analytics and a passion for leveraging data to drive businessinsights and innovation.

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

Bachelor’s 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, Deep Learning stack, NLP using pythonStrong knowledge and experience in Generative AI/ LLM based development.Strong experience working with key LLM models APIs (e.g. AWS Bedrock, AzureOpen 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 forunstructured data - including indexing, search, and advance retrieval 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, ETLExperience 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.