
Senior AI-ML Engineer
5 days ago
We are seeking an expert to join our team as a Principal AI-ML Architect. As a key member of our team, you will be responsible for designing and implementing ground-breaking GPU computers that run demanding deep learning, high-performance computing, and computationally intensive workloads.
Job Responsibilities:
- Provide leadership in designing and implementing GPU computers with expertise in machine learning and deep neural networks.
- Develop code for one or more of the DNN training frameworks such as Caffe, TensorFlow, or Torch.
- Adapt and train DNNs for various tasks including understanding of DL fundamentals.
- Collaborate with various teams to drive end-to-end workflows from data curation and training to performance optimization and deployment.
- Assign tasks to the team and monitor progress.
Required Skills:
- MS or PhD in Computer Science, Electrical Engineering, or related field with strong background in deployment of complex deep learning architectures.
- 7+ years of relevant experience in machine learning, numerical analysis, performance analysis, model compression, and computer architecture.
- Strong data structures and algorithms know-how with excellent C/C++ programming skills.
- Hands-on expertise with PyTorch, TensorRT, CuDNN, and GPU computing (CUDA, OpenCL, OpenACC).
- Proficient in Python programming and bash scripting.
- Excellent communication and collaboration skills.
- Self-motivated and able to find creative practical solutions to problems.
Benefits:
- Opportunity to work on cutting-edge projects in AI-ML and GPU computing.
- Collaborative and dynamic work environment.
- Chance to learn from experienced professionals and grow your career.
About Us:
We provide artificial intelligence-based solutions for life sciences applications, improving efficiency, diagnostic accuracy, and turnaround times in pathology, microbiology, and ophthalmology workflows across pharmaceutical and healthcare laboratories.
Our deep learning platforms with existing network models and pre-built AI applications provide the foundation for fast customizations and help tackle any unique challenges in image analysis and study management workflows.
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