Senior AI/ML Ops Engineer
Deep Learning for Natural Language Processing
Posted on 1/12/2023
INACTIVE
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
AWS
CUDA
Data Structures & Algorithms
Docker
C/C++/C#
Linux/Unix
Pytorch
Natural Language Processing (NLP)
Kubernetes
Python
Requirements
  • MS in computer science or related discipline
  • At least 3+ years of work experience
  • Applied programming experience in Python, C, and/or C++
  • Experience with libraries and tools like PyTorch, Ray and CUDA
  • Experience using deep learning inference engines and optimization frameworks to deploy deep learning models (ONNX, Intel OpenVino, NVIDIA TensorRT, TritonRT or similar frameworks)
  • Experience orchestrating and monitoring AI and Machine Learning pipelines in production
  • Experience with AWS
  • Experience with Unix-based environments and shell scripting
  • Experience deploying deep learning pipelines
  • Experience with containers / orchestration (Docker and Kubernetes preferred)
  • Ability to work well as an individual contributor as well as within a multidisciplinary team environment
  • Strong communicator with excellent interpersonal skills and can-do attitude to work and thrive in a fast-paced team environment
Responsibilities
  • Investigate, evaluate and develop new and existing tools to deploy and scale machine learning models
  • Research and recommend tools, algorithms, and solutions in line with our quality of care improvement strategy
  • Contribute to the enhancement and extension of all our AI/ML pipelines and environments
  • Design and build reliable, performant, maintainable and secure pipelines which can scale to the needs of our business while reducing costs
  • Collaborate closely with our Software Engineering team to manage our infrastructure and automate whenever possible
  • Ensure reliable and ongoing measurement and monitoring of our AI platform
  • Collaborate closely with other engineers and AI scientists by receiving and providing feedback on plans, technical designs, and code
Covera Health

51-200 employees

Analytics-based healthcare