Member of Technical Staff - AI Engineering (Remote)

• Role: Member of Technical Staff - AI Engineering (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.

Apply Now!