Full-Time

Machine Learning Engineer

Infrastructure and Operations

Posted on 5/7/2024

Symbl.ai

Symbl.ai

51-200 employees

AI-powered conversation intelligence platform

AI & Machine Learning
Data & Analytics

Senior, Expert

Remote in USA

Required Skills
Kubernetes
Microsoft Azure
Docker
AWS
Google Cloud Platform
Requirements
  • Strong background in machine learning, computer science, or related field
  • 5+ years of experience in building and deploying machine learning models in production environments
  • Proficiency in cloud computing platforms such as AWS, GCP, or Azure
  • Experience with containerization technologies like Docker and orchestration tools like Kubernetes
  • Strong problem-solving skills and ability to troubleshoot complex technical issues
  • Excellent communication and collaboration skills
Responsibilities
  • Architect and maintain robust and scalable machine learning infrastructure
  • Collaborate with data scientists and engineers to deploy and monitor machine learning models
  • Implement automated workflows for model training, validation, and deployment
  • Optimize and fine-tune the performance of machine learning systems
  • Ensure data security, privacy, and compliance within the machine learning infrastructure
  • Troubleshoot and resolve infrastructure-related issues
  • Contribute to the evaluation and adoption of new technologies and tools in the machine learning space

Symbl.ai develops a Conversation Intelligence Platform that leverages generative AI to enhance real-time engagement and predictive experiences in sales, customer service, HR, and employee communication sectors. This platform's key strengths lie in advanced features such as topic detection, sentiment analysis, and real-time transcriptions, all easily accessible through well-designed APIs. The company’s focus on continuous learning and adapting technologies ensures a dynamic and forward-thinking workplace, making it an ideal place for professionals passionate about AI-driven communication advancements.

Company Stage

Series A

Total Funding

$23.8M

Headquarters

Seattle, Washington

Founded

2018

Growth & Insights
Headcount

6 month growth

8%

1 year growth

3%

2 year growth

-25%