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. \n 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. \n Apply To This Job