AI/ML Engineer
Systalyze· AI/ML Engineering
Remotenot specified in the descriptionPosted 5mo ago
About the role
Develops, deploys, and optimizes AI solutions for real-world applications at Systalyze, focusing on machine learning models that are efficient, reliable, and scalable.
Responsibilities
- Develop, deploy, and optimize AI solutions for real-world applications.
- Curate large datasets for AI workloads.
- Collaborate with engineers to integrate, monitor, and maintain AI workloads in production.
- Ensure AI systems align with business goals and document processes for transparency.
Qualifications
- Strong experience in Systems for AI/ML, from model development to system optimizations.
- Proficiency in Python, with familiarity within TypeScript or Go for integration.
- Expertise in ML frameworks (PyTorch, VLLM, Llama-factory, Transformers, Megatron-LM, CUDA), cloud platforms (AWS, GCP, Azure), and containerization (Docker, Kubernetes).
- Strong problem-solving, collaboration, and communication skills for cross-functional teamwork.
Skills
Required:Machine Learning FrameworksProgramming in PythonCloud PlatformsContainerization
Benefits
- Competitive salary, equity options, and benefits package.
- Continuous learning and growth opportunities.
Last updated Apr 30, 2026. Interested? Apply on the company site.
About Systalyze
Unlock Efficiency and Scale in Your AI Deployments.
Systalyze's groundbreaking platform uncovers and eliminates inefficiencies in AI workloads, enabling customers to cut costs by up to 90%.
AI workloadsEfficiencyAI optimizationEnterprise AI
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