Role: AI Engineer (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $160K - $300K/yr

Role Overview: We are hiring for one of our clients, seeking a Member of Technical Staff (AI Engineering) to work on a full-time basis. The role focuses on designing, developing, and deploying AI/ML models at scale while optimizing performance for large-scale inference systems. Responsibilities include architecting solutions for high-performance computing environments and collaborating with cross-functional teams to integrate AI capabilities into production systems.

Key Responsibilities: • Design and implement scalable AI/ML systems, including model training, inference optimization, and deployment pipelines. • Develop and maintain high-performance computing infrastructure for AI workloads, ensuring efficient resource utilization. • Collaborate with software engineers to integrate AI models into production applications and services. • Optimize AI model performance through techniques such as quantization, pruning, and hardware acceleration. • Research and implement cutting-edge AI/ML techniques to improve system efficiency and accuracy.

Required Skills & Qualifications: • Proficiency in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, or JAX. • Experience with distributed computing frameworks (e.g., Apache Spark, Dask) for large-scale data processing. • Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and containerization tools (e.g., Docker, Kubernetes). • Familiarity with AI model deployment tools (e.g., ONNX, TensorRT) and optimization techniques for inference. • Strong understanding of algorithms, data structures, and software engineering best practices.

More About the Opportunity: This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of next-generation AI systems. The position involves solving complex technical challenges while collaborating with a diverse team of experts in AI, software engineering, and infrastructure.

Equal Opportunity Employer: We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.

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