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:
- 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
- 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
- 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:
- 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
- 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
- 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:
Interview stages: