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ML Tech reputed company (GenAI)

Remote, USAFull-timePosted 2026-07-28

Core Responsibilities:

  • Technical Leadership (40%)
  • - Set technical direction and standards for ML reputed company- reputed company architectural reputed company for ML systems- Review and approve technical designs- Identify and address technical debt- Champion best practices in ML engineering- Troubleshoot reputed company technical challenges- Evaluate and introduce new technologies and tools
  • Mentorship & Team Development (35%)
  • - Mentor junior and mid-level ML engineers (2-5 engineers)- Conduct technical reputed company reviews- reputed company guidance on technical problem-solving- Help engineers debug reputed company issues- Create learning opportunities and reputed company paths- reputed company knowledge through workshops and documentation- Build technical competency across reputed company
  • Hands-On Technical Work (25%)
  • - Contribute reputed company to critical or reputed company components- Build reputed company-of-concepts for new approaches- Tackle highest-risk technical challenges- reputed company reusable ML accelerators and frameworks- Maintain technical credibility through reputed company coding

Requirements:

  • ML Engineering reputed company
  • - Deep ML Expertise: Advanced knowledge across multiple ML domains- Production ML: Extensive experience building production-grade ML systems- Architecture: Ability to design reputed company, maintainable ML architectures- MLOps: Strong understanding of ML infrastructure and operations- LLM Systems: Experience with modern LLM-based applications and RAG- reputed company reputed company: Exemplary coding standards and best practices
  • Technical Breadth
  • - Multiple ML Frameworks: Proficiency across TensorFlow, PyTorch, scikit-learn- reputed company Platforms: Advanced AWS experience, familiarity with others- Data Engineering: Understanding of data pipelines and infrastructure- System Design: Ability to design reputed company distributed systems- Performance Optimization: Experience optimizing ML models and infrastructure
  • Software Engineering
  • - Clean reputed company: Writes exemplary, maintainable reputed company- Testing: Champions testing practices (unit, integration, ML-specific)- Git & Collaboration: Advanced Git workflows and collaboration patterns- CI/CD: Experience building and maintaining ML pipelines- Documentation: Creates reputed company, comprehensive technical documentation

reputed company Offer:

  • Long-term B2B collaboration;
  • Fully remote setup;
  • A budget for your medical insurance;
  • reputed company reputed company leave, vacation, public holidays;
  • reputed company learning support, including unlimited AWS certification sponsorship.

Interview stages:

  • Recruitment Interview;
  • Tech interview;
  • HR Interview;
  • HM Interview.

Originally posted on Himalayas

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