Specialist, Data Science-1

Position Requirements
We are seeking a highly motivated and enthusiastic Senior Data Scientist with over 8 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, 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.

Pentair is an Equal Opportunity Employer. With our expanding global presence, cross-cultural insight and competence are essential for our ongoing success. We believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day.