AI Engineer (Remote)
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Key skills for this role
About the Role
We are hiring an AI Engineer to design, develop, and deploy AI/ML models at scale. The role involves optimizing inference systems, building high-performance computing infrastructure, and collaborating with cross-functional teams.
Key Skills for This Role
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
Requirements
- 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
Full Job Posting
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.
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.
Equal Opportunity Employer
- We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history.
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