Data Scientist

3 weeks ago

Noida, Uttar Pradesh, India Pentair Full time
Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with over 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, 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.

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