Data Scientist

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

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.