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Senior Machine Learning Engineer - Remote

Posted 6 weeks ago
Software Development
Full Time
India

Overview

As a Senior Machine Learning Engineer on the Intelligence team, you will be responsible for building and productionizing Machine Learning (ML) models and other smart algorithms for various Apollo products.

In Short

  • Design, build, evaluate, deploy and iterate on scalable Machine Learning systems
  • Understand the Machine Learning stack at Apollo and continuously improve it
  • Build systems that help Apollo personalize their users’ experience
  • Evaluate the performance of machine learning systems against business objectives
  • Develop and maintain scalable data pipelines that power our algorithms
  • Implement automated monitoring, alerting, self-healing features while productionizing data & ML workflows
  • Write unit/integration tests and contribute to engineering wiki

Requirements

  • Bachelors, Masters, or a PhD in Computer Science, Mathematics, Statistics, or related work experience
  • 8+ years of experience building Machine Learning or AI systems
  • Experience deploying and managing machine learning models in the cloud
  • Experience working with fine tuning LLMs and prompt engineering
  • Strong analytical and problem-solving skills
  • Proven software engineering skills in production environment, primarily using Python
  • Experience with Machine Learning software tools and libraries (e.g., Scikit-learn, TensorFlow, Keras, PyTorch, etc.)

Benefits

  • Remote-first inclusive organization
  • Opportunities for growth and support
  • Collaboration across departments
  • Encouragement of bold ideas and courageous action
  • Freedom to experiment and drive impactful results
Apollo.io logo

Apollo.io

Apollo.io is a dynamic startup focused on providing a world-class onboarding experience for self-service customers in small to medium-sized businesses (SMBs). The company aims to empower new users to effectively utilize its platform within the first 90 days, ensuring they achieve a return on investment. As a collaborative and innovative organization, Apollo.io values the contributions of its Product Specialist team, which plays a crucial role in teaching customers about the product, creating training materials, and continuously improving the onboarding process through shared learnings and feedback.

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