Senior Data Scientist / Data Analyst (Noida) (CE58SF RM 3385)

Position: Senior Data Scientist / Data Analyst (Noida) (CE58SF RM 3385)

Education Required: Bachelor’s / Masters / PhD:

Bachelor’s degree in Computer Science, Data Science, or a related field.

Strong understanding of machine learning , deep learning and Generative AI concepts.

Must have 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:

Knowledge and Experience in building knowledge graphs in production.

Understanding of multi-agent systems and their applications in complex problem-solving scenarios.

Job Description:

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.

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