- 经验
- 任何
- 薪水
- USD 160,000 – USD 300,000 / year
- 职位空缺
- 1
- 发布
- 2小时前
- Work mode
- 在家办公
- Eligibility
- Applicants who have the required technical skills and qualifications are welcome to apply. The role is open to candidates from any background, with selection based on demonstrated ability rather than previous employment history.
- Resume
- Required to apply
职位描述
Role Overview
We are looking for an AI engineer to join a client engagement on a full-time remote basis. The position centers on building, scaling, and optimizing AI/ML systems for production use, with a strong focus on high-volume inference and efficient deployment.
What You Will Do
- Build scalable AI and machine learning solutions, including training workflows, inference tuning, and deployment automation.
- Set up and support high-performance computing infrastructure for AI-related workloads while making effective use of available resources.
- Work closely with software engineering teams to embed AI capabilities into live products and services.
- Improve model efficiency using methods such as quantization, pruning, and accelerator-based optimization.
- Explore and apply advanced AI/ML approaches to raise accuracy and system performance.
Required Background
- Strong programming ability in Python.
- Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or JAX.
- Exposure to distributed processing tools like Apache Spark or Dask for large-scale data handling.
- Working knowledge of cloud environments such as AWS, GCP, or Azure, along with containers and orchestration tools like Docker and Kubernetes.
- Familiarity with model deployment and inference tooling such as ONNX or TensorRT.
- Solid grasp of algorithms, data structures, and good software engineering practices.
Additional Information
This is a remote, work-from-anywhere opportunity. The compensation range is USD 160,000 to USD 300,000 per year. The employer is an equal opportunity organization and evaluates applicants based on skills and technical ability rather than background, prior employer, or experience history.
About the Opportunity
You will be contributing to advanced AI systems for a global technology environment, helping solve complex engineering problems alongside specialists in AI, software, and infrastructure.