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. 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.

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