Advisor, Data Science

Techsalesjobs

Bangalore, India
Nlp, machine learning, computer vision, genai
Data visualization (power bi, matplotlib, plotly)
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 (Power BI, matplotlib, plotly)
  • CNN, LSTM, YOLO
  • SQL, Postgres SQL, PGVector, ChromaDB
  • MLOps and LLMOps
  • Python (numpy, pandas, scipy, spacy, gensim, TensorFlow, Pytorch)
  • Multi-Modal RAG, Agentic RAG, Langchain, Hugging Face Transformers
  • CI/CD tools, Docker, Kubernetes, Git
  • advanced regression models, ensemble methods
  • model explainability (SHAP, LIME)

Nice-to-have

  • streaming/messaging frameworks (Kafka, RabbitMQ, ZeroMQ)
  • cloud platforms (AWS, Azure, GCP)
  • web technologies (HTTP/REST/GraphQL, Flask, Django)
  • 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
  • knowledge of Multi-Modal RAG, Agentic RAG, Langchain, Hugging Face Transformers
  • 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

Tailored Resume

Cover Letter