Senior AI/ML Specialist - Solutions Architect, Cloud & AI Infra

February 11

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Lavendo

Lavendo is a premier go-to-market (GTM) and tech sales recruiting firm based in Silicon Valley. The company specializes in building winning sales teams for startups and enterprises by providing top-performing candidates that fit the company's culture and needs. Lavendo offers a range of recruiting services with no upfront payment, promising a quick time-to-hire and a high retention rate for placed candidates. With a flat, transparent recruiting fee, Lavendo caters to a variety of sales roles from entry-level to executive positions. The firm is committed to a thorough recruitment process, ongoing support, and providing value through a strong network of tech professionals.

Recruiting β€’ Sales β€’ Remote work β€’ Startups β€’ Consulting

πŸ“‹ Description

β€’ About the Company β€’ Our client is a publicly traded company at the forefront of the AI revolution, offering an AI-centric cloud platform that's reshaping the landscape of artificial intelligence. β€’ The company provides cutting-edge infrastructure, including large-scale GPU clusters, cloud platforms, tools, and services for developers to service the explosive growth of the global AI industry for Fortune 1000 companies, top-tier innovative startups, and AI researchers. β€’ Their mission is to democratize access to AI infrastructure and empower organizations to create, optimize, and deploy AI solutions at any scale. β€’ We are seeking a Senior AI/ML Specialist Solutions Architect to join our client's team. This role offers the chance to design and implement scalable AI solutions for AI-focused customers, working with state-of-the-art technologies and contributing to one of the most powerful commercially available supercomputers.

🎯 Requirements

β€’ 5+ years of experience with cloud technologies and infrastructure, ideally in senior MLOps or Solutions Architect roles β€’ Proven expertise in scaling and optimizing AI workloads across multi-node and multi-GPU environments β€’ Demonstrated success delivering ML products, scaling from POC to production β€’ Deep knowledge of ML frameworks like PyTorch and JAX β€’ Strong background in the NVIDIA HPC ecosystem (CUDA, NCCL, Infiniband) β€’ Active involvement in the ML community (public speaking, open-source contributions, competitions like Kaggle and Hackathons) β€’ Exceptional communication skills to engage both technical teams and business stakeholders β€’ Legal authorization to work in the United States on a full-time basis without sponsorship

πŸ–οΈ Benefits

β€’ Competitive compensation: $180,000 - $300,000 per year (negotiable based on experience and location) β€’ Full medical benefits: 100% company-paid medical, dental, and vision coverage for employees and families β€’ 401(k) plan with a 4% match program β€’ Stock options plan β€’ Flexible remote work environment β€’ Company-paid short-term, long-term disability, and life insurance coverage β€’ 20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers β€’ Up to $85/month for mobile and internet β€’ Work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs β€’ Be part of a team that operates one of the most powerful commercially available supercomputers β€’ Contribute to sustainable AI infrastructure, with energy-efficient data centers that recover waste heat to warm nearby residential buildings

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