Engineer- Data Science

21 Hours ago • 2-4 Years

Job Summary

Job Description

The Senior Data Scientist will be responsible for developing and implementing machine learning models and algorithms, working with project stakeholders to translate requirements into deliverables, analyzing complex data sets using statistical and machine learning techniques, staying updated with the latest advancements in AI/ML technologies, and collaborating with cross-functional teams to support various AI/ML initiatives. The role requires a strong understanding of machine learning, deep learning, and Generative AI concepts. The ideal candidate should have experience with Regression, Classification, Predictive modeling, Clustering, and Deep Learning stack using Python, cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue), building enterprise-grade, secure data ingestion pipelines for unstructured data (ETL/ELT), proficiency in Python, TypeScript, NodeJS, ReactJS, and frameworks (pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy), and experience with data visualization tools and deep learning frameworks. Additionally, they should have strong knowledge and experience in Generative AI/LLM-based development, including working with key LLM models APIs and LLM Frameworks.
Must have:
  • Develop and implement machine learning models and algorithms.
  • Translate requirements into deliverables with project stakeholders.
  • Analyze and interpret complex data sets.
  • Stay updated with latest advancements in AI/ML technologies.
  • Collaborate with cross-functional teams to support AI/ML initiatives.
  • Bachelor’s degree in Computer Science or related field.
  • Strong understanding of machine learning, deep learning, and Generative AI concepts.
Good to have:
  • Knowledge and Experience in building knowledge graphs in production.
  • Understanding of multi-agent systems and their applications.

Job Details

Job Description:

Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with 2-4 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, 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 using python
  • Experience with cloud infrastructure for AI/ ML on AWS(Sagemaker, Quicksight,Athena, Glue).
  • Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data(ETL/ELT) – including indexing, search, and advance retrieval patterns.
  • Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy), 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).
  • 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).
  • 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.

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.

Equal Opportunity Employer

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.

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About The Company

At Pentair, we help the world sustainably move, improve, and enjoy water, life’s most essential resource. From our residential and commercial water solutions, to industrial water management and everything in between, Pentair is focused on smart, sustainable water solutions that help our planet and people thrive. Pentair had revenue in 2023 of approximately $4.1 billion, and trades under the ticker symbol PNR.

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