Senior Ai Software Engineer - Deep Learning Infrastructure

About the RoleOur client is at the forefront of AI innovation, building cutting-edge deep learning models and applications that are transforming industries.
We are seeking a highly skilled Senior AI Software Engineer specializing in Deep Learning Infrastructure to join our dynamic, fully remote team.
This role is pivotal in designing, building, and optimizing the infrastructure that powers our AI development and deployment efforts.
You will work with distributed systems, high-performance computing, and state-of-the-art ML frameworks to enable our researchers and engineers to push the boundaries of AI.
As a fully remote position, you'll enjoy the flexibility to work from anywhere, collaborating with a world-class team through advanced communication tools.Key ResponsibilitiesDesign, develop, and maintain scalable and robust deep learning infrastructure.Optimize computational resources for efficient training and inference of large-scale models.Implement and manage distributed training frameworks (e.g., Horovod, TensorFlow distributed).
Develop and maintain containerization solutions (Docker) and orchestration platforms (Kubernetes) for ML workloads.Collaborate with AI researchers and engineers to understand their infrastructure needs.Implement best practices for MLOps, including CI/CD, monitoring, and logging for ML systems.Evaluate and integrate new hardware and software technologies to enhance AI infrastructure capabilities.Troubleshoot and resolve complex performance and reliability issues in the ML infrastructure.Contribute to the architecture and design of future AI infrastructure components.Ensure the security and compliance of the AI development environment.RequirementsBachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.5+ years of experience in software engineering, with a significant focus on building and managing large-scale distributed systems or ML infrastructure.Strong programming skills in Python and proficiency in C++.
Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.Hands-on experience with containerization (Docker) and orchestration (Kubernetes).
Familiarity with cloud platforms (AWS, GCP, Azure) and their ML services.Knowledge of MLOps principles and tools.Experience with performance tuning and optimization of complex systems.Excellent problem-solving, debugging, and analytical skills.Strong communication and collaboration skills for remote teamwork.Proactive and self-motivated individual with a passion for building scalable infrastructure.BenefitsHighly competitive salary and performance-based bonuses.Comprehensive health, dental, and vision insurance plans.Generous home office setup budget and equipment provision.Unlimited professional development opportunities, including training and conferences.Opportunity to work on cutting-edge AI infrastructure with a leading company.Flexible work hours and a fully remote working environment.Annual bonus and potential for stock options.Company-sponsored virtual team events and activities.
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