What are the responsibilities and job description for the MLOps Engineer AWS position at Cyma Systems Inc?
Job Details
Title: MLOps Engineer-
Location: Canada
Remote: Yes
Skills: Python, AWS Sagemaker, MLOps, gRPC, Rest Api.
Should have very good communication skills
Preferred Qualifications
- Experience with ML platforms, such as AWS SageMaker, Google Vertex AI, or any other ML platform.
- Experience in adopting open source ML packages into the MLOps lifecycle.
- Excellent communication and people engagement skills, and mentor colleagues on best practices and technical concepts of building large scale solutions
Position Type
Roles & Responsibilities
- Design and develop batch training jobs (both on CPU and GPU) and inference endpoints.
- Ensuring healthy training configurations for tensorflow/pytorch training jobs, and serving layers (through both gRPC and REST).
- Ability to work on multi-faceted projects with engineers from diverse backgrounds, heterogenous skills and across teams.
- Work in an Agile environment that focuses on collaboration and teamwork
- 8 years of software experience, with 3 years of relevant ML and software experience
- Knowledge of the Python/Java data ecosystem.
- Knowledge of either pyTorch or Tensorflow frameworks.
- Experience deploying and running services in AWS.
- Expertise with ML pipelines, algorithms, and statistical methods
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
