Data Scientist

Title:

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 (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.

** Title/Designation of role are as per Global Team Job profiling. Local Titles are adjusted for understanding of regional candidates applying for job in India.

Designations are dependent on years of relevant work experience and performance during interviews.