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Data Scientist

Data Scientist

PentairNoida, Uttar Pradesh, India
30+ days ago
Job description

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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