Advisor, Data Science

GetTechSalesJobs

Bangalore, India
Nlp, machine learning, computer vision, genai
Data visualization tools
Cnn, lstm, yolo
Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models

Job Summary

  • Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models.
  • As a Data Science Advisor, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis.
  • Join us to do the best work of your career and make a profound social impact as a Data Science Advisor on our Data Science Team in Bangalore.

Matching Summary

Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models.

Skills & Requirements

Must-have

  • NLP, Machine Learning, Computer Vision, GenAI
  • data visualization tools
  • CNN, LSTM, YOLO
  • SQL, Postgres SQL, PGVector, ChromaDB
  • MLOps and LLMOps
  • Python programming with numpy, pandas, scipy
  • TensorFlow and/or Pytorch
  • Multi-Modal RAG, Agentic RAG, Langchain
  • vector embeddings
  • CI/CD tools, Docker, Kubernetes, Git
  • correlation analysis, feature selection
  • advanced regression models
  • model explainability techniques

Nice-to-have

  • product/technology/industry knowledge
  • streaming/messaging frameworks
  • cloud platforms (AWS, Azure, GCP)
  • web technologies and frameworks
  • Java or JavaScript programming
  • monitoring, observability, performance tuning
  • time series forecasting techniques
  • Langfuse for LLM applications

Key Requirements

  • 5 to 8 years of related experience
  • Proficiency in NLP, Machine Learning, Computer Vision, and GenAI
  • Working experience in data visualization
  • Hands-on experience with CNN, LSTM, YOLO
  • Database skills including SQL, Postgres SQL, PGVector, and ChromaDB
  • Proven experience in MLOps and LLMOps
  • Expertise with large language models (LLMs), prompt engineering, fine-tuning
  • Proficiency in Python programming
  • Expertise in libraries such as numpy, pandas, scipy, spacy, gensim, TensorFlow, and/or Pytorch
  • Knowledge of Multi-Modal RAG, Agentic RAG, Langchain, Hugging Face Transformers, and vector embeddings
  • Experience with CI/CD tools, containerization (Docker, Kubernetes), and version control systems (Git)
  • Expertise in correlation analysis and feature selection techniques
  • Experience with advanced regression models
  • Proficiency in feature selection and dimensionality reduction techniques
  • Experience with model explainability and interpretability techniques

Work Rights

Not specified

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