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Sr. ML Engineer

6senseAccount-Based Marketing company
Bangalore, IndiaSenior
Blue Owl
MSD Partners
SoftBank Vision Fund 2 logo
SoftBank Vision Fund 2
Insight Partners logo
Insight Partners
D1 Capital Partners logo
D1 Capital Partners
Sapphire Ventures logo
Sapphire Ventures
Data & AINew

About the role

TL;DR

Builds AI intelligence to explain business account importance and drive customer growth.

  • 6sense is hiring a Sr.
  • ML Engineer to join their AI team.
  • This role will build intelligence that turns trillions of daily signals into explainable answers about why an account matters, why now, and who is deciding.
  • You will own problems end-to-end, work directly with Product and Go-to-Market, and see your work reach customers.
  • Key Responsibilities Own machine learning problems end to end
  • from data exploration and modeling through deployment, monitoring, and iteration in production.
  • Build NLP, LLM, and agentic systems at enterprise scale, including retrieval-based architectures and multi-agent workflows.
  • Develop ranking, recommendation, prediction, and optimization models that are explainable rather than black-box.
  • Partner with Product and Go-to-Market to turn ambiguous business problems into shipped capabilities.
  • Improve the performance, scalability, and reliability of production ML systems, and help shape AI platform architecture.
  • Requirements 6+ years of industry experience building and deploying machine learning systems in production, with clear end-to-end ownership.
  • Strong foundation in machine learning and applied statistics, with hands-on depth in NLP, transformers, embeddings, and retrieval-based systems.
  • Practical experience with modern GenAI tooling such as LangGraph, LangChain, or Amazon Bedrock.
  • Strong Python skills and experience building distributed ML pipelines on cloud infrastructure (AWS, Databricks, or equivalent).
  • Solid grasp of feature engineering, model evaluation, and MLOps practices.
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Required skills

PythonNLPLLMsAWSDatabricksMLflowscikit-learnTensorFlowPyTorch

Domain expertise

aiproductivity

Benefits & perks

health coverage, paid parental leave, paid time-off, holidays, stock options, equipment and support

Tech stack

PythonNLPLLMsLangChainAWSDatabricksPyTorchTensorFlow

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