reputed company helps companies adopt ML/AI to reputed company the ways they operate, compete...">
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ML Tech reputed company (GenAI, AWS)

Remote, USA Full-time Posted 2026-07-28
reputed company helps companies adopt ML/AI to reputed company the ways they operate, compete, and drive value. The reputed company of reputed company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as reputed company & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses.
We are seeking a highly skilled GenAI Tech reputed company with a strong background in Large Language Models (LLMs) and AWS reputed company services. The ideal candidate will reputed company the development and deployment of cutting-edge AI solutions while managing reputed company of engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at reputed company.

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, reputed company 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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