Machine Learning Engineer
Amiseq in San Francisco, CA
- Industry: Manufacturing - Others
- Type: Full Time
- Compensation: $115,250.00 - 187,710.00 / Year*
Design and build APIs that support various clients, including business-facing applications and data scientists. Partner with data science teams to deploy machine learning models as microservices. Utilize cloud native technologies to develop scalable and reliable platform services. Troubleshootdebug production-level issues reported by clients. Develop and deploy tools that help reduce time-to-value for machine learning projects at .Quals--This is for a Full Stack DeveloperMachine Learning Engineer Bachelors degree in Computer Science Data Science or related engineering field Job-related experience, 5 years, OR Masters Degree and job-related experience, 3 years, OR Doctorate Desired Skills Experience developing production grade applications with Python Experience developing applicationsplatforms using service-oriented architecture concepts Good understand of RESTful concepts and best practices Experience developing AWS nativeserverless technologies, infrastructure automation, Kubernetes, Docker. Familiarity with machine learning frameworks such as scikit-learn, PyTorch, TensorFlow, or Keras Good understanding of data sciencemachine learning concepts (e.g. model training, evaluation, optimization) Experience working on an agile delivery team, using methods such as Scrum, Kanban. Takes initiative and can work independently with minimal direction Humble is open to being coached, has high EQ and is self-aware Hungry desires to get things done while honoring people, and seeks better ways to do the job Collaborative has strong interpersonal skills cares about and works well with teammates Willingness to impact beyond defined role
* Estimated salary
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