ML Tech reputed company (GenAI, AWS)

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, 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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