Cloud Solutions Architect: High-Performance Computing Expert

3 days ago

Dallas, Texas, United States Lavendo Full time
About Lavendo

Lavendo is at the forefront of the AI revolution, providing cutting-edge infrastructure that's reshaping the landscape of artificial intelligence. Our mission is to democratize access to world-class AI infrastructure, enabling organizations of all sizes to turn bold AI ambitions into reality.

Job Description:

We're seeking a skilled Cloud Solutions Architect (Remote) to play a key role in designing, implementing, and maintaining large-scale machine learning (ML) training and inference workflows for clients. As a Cloud Solutions Architect, you'll provide expert, hands-on guidance to help clients achieve optimal ML pipeline performance and efficiency.

Responsibilities:
  • Design and implement scalable ML training and inference workflows using Kubernetes and Slurm, focusing on containerization (e.g., Docker) and orchestration.
  • Optimize ML model training and inference performance with data scientists and engineers.
  • Develop and expand a library of training and inference solutions by designing, deploying, and managing Kubernetes and Slurm clusters for large-scale ML training with ready-to-deploy, standardized solutions.
  • Integrate with ML frameworks: integrate K8s and Slurm with popular ML frameworks like TensorFlow, PyTorch, or MXNet, ensuring seamless execution of distributed ML training workloads.
  • Develop monitoring and logging tools to track distributed training performance, identify bottlenecks, and troubleshoot issues.
  • Create automation scripts and tools to streamline ML training workflows, leveraging technologies like Ansible, Terraform, or Python.
Requirements:
  • At least 3 years of experience in MLOps, DevOps, or a related field.
  • Strong experience with Kubernetes and containerization (e.g., Docker).
  • Experience with cloud providers like AWS, GCP, or Azure.
  • Familiarity with Slurm or other distributed computing frameworks.
  • Proficiency in Python, with experience in ML frameworks such as TensorFlow, PyTorch, or MXNet.
  • Knowledge of ML model serving and deployment.
  • Familiarity with CI/CD pipelines and tools like Jenkins, GitLab CI/CD or CircleCI.
  • Experience with monitoring and logging tools like Prometheus, Grafana or ELK Stack.
  • Solid understanding of distributed computing principles, parallel processing, and job scheduling.
  • Experience with automation tools like Ansible, Terraform.
Attributes for Success:
  • PASSION FOR AI AND TRANSFORMATIVE TECHNOLOGIES.
  • A genuine interest in optimizing and scaling ML solutions for high-impact results.
  • Results-driven mindset and problem-solver mentality.
  • Adaptability and ability to thrive in a fast-paced startup environment.
  • Comfortable working with an international team and diverse client base.
  • Communication and collaboration skills, with experience working in cross-functional teams.
BENEFITS:
  • A highly competitive salary range of $130,000-$175,000 per year (negotiable based on experience and skills).
  • Full medical benefits and life insurance: 100% coverage for health, vision, and dental insurance for employees and their families.
  • 401(k) match program with up to a 4% company match.
  • Stock options plan in a publicly traded company.
  • PTO and paid holidays.
  • Flexible remote work environment.
  • Reimbursement of up to $85/month for mobile and internet.
  • Work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs (H100, L40S, with H200 and Blackwell chips coming soon).
  • Be part of a team that operates one of the most powerful commercially available supercomputers.
  • Contribute to sustainable AI infrastructure with energy-efficient data centers that recover waste heat to warm nearby residential buildings.

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