Qureos

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Data Scientist

Uttar Tola, India

Job Description: We are seeking a highly motivated and enthusiastic Data Scientist with over 2-3 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.

Job Type: Full-time

Pay: ₹1,800,000.00 - ₹2,000,000.00 per year

Application Question(s):

  • How many years of experience you have in Machine Learning techniques?
  • Have you worked on LLM's models?
  • Have you worked with Cloud Infrastructure?
  • Do you have experience with RAG Concepts?

Work Location: In person

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