- 経験
- どれでも
- 給料
- USD 160,000 – USD 300,000 / year
- 求人情報
- 1
- 投稿済み
- 5週間
- 作業モード
- 在宅勤務
- 資格
- Open to qualified candidates from any background; selection is based on demonstrated technical ability and relevant qualifications.
- 再開する
- 応募必須
仕事内容
Role overview
This full-time remote position is for an AI Engineering technical contributor supporting one of the client’s teams. The work is centered on building, scaling, and shipping AI/ML systems for production use, with a strong focus on inference performance and high-throughput deployment.
What you’ll do
- Build scalable AI/ML solutions, covering model training workflows, inference tuning, and deployment automation.
- Set up and improve high-performance compute environments for AI workloads so resources are used efficiently.
- Work closely with software engineering teams to embed AI models into live products and services.
- Improve model speed and efficiency using methods such as quantization, pruning, and hardware-based acceleration.
- Explore and apply newer AI/ML approaches to strengthen accuracy and overall system performance.
Skills and qualifications
- Strong Python programming ability with hands-on use of AI/ML libraries such as TensorFlow, PyTorch, or JAX.
- Experience working with distributed data and computing tools like Apache Spark or Dask.
- Understanding of cloud environments such as AWS, GCP, or Azure, plus container tools like Docker and Kubernetes.
- Practical knowledge of model serving and inference optimization tools such as ONNX and TensorRT.
- Solid grasp of algorithms, data structures, and software engineering best practices.
Compensation
The compensation range for this role is USD 160,000 to USD 300,000 per year.
Additional information
This opportunity is for a global technology organization working on advanced AI systems. The role involves solving challenging technical problems alongside specialists in AI, software engineering, and infrastructure.
Equal opportunity
Applications are considered on the basis of technical skill and qualifications. Candidates are welcome regardless of background, experience history, or prior employment path.