Machine Learning Engineer
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Job description
We are seeking a Machine Learning Engineer to support the development, deployment, and management of machine learning and AI solutions in a production environment. This role combines software engineering, machine learning, platform operations, and AI application development to help deliver scalable business solutions. The ideal candidate will have experience building and managing machine learning models, supporting production environments, and working with modern software development and deployment practices.
Requirements
Machine Learning & AI
- 2+ years of experience building and managing machine learning models
- Experience with LLM chatbots and AI-powered business solutions
Software Engineering
- 5+ years of software engineering experience
- Strong experience with Python
- Experience with JavaScript preferred
- Experience with other modern programming languages will be considered
Platform & Infrastructure
- 2+ years of experience working with Kubernetes
- Experience monitoring and supporting machine learning models in production environments
- Experience monitoring and supporting Kubernetes applications in production environments
Development Practices
- Experience working within Agile SDLC environments
- Experience implementing and supporting CI/CD pipelines
- Experience using GitHub Actions
Preferred Qualifications
- Experience supporting machine learning applications in production environments
- Experience deploying, managing, and monitoring AI and machine learning solutions
- Experience working across software engineering, machine learning, and platform operations teams
What We’re Looking For Successful candidates will demonstrate a combination of:
- Strong software engineering fundamentals
- Hands-on machine learning experience
- Production support and monitoring experience
- Kubernetes knowledge
- Experience with AI and LLM-based applications
- Ability to work effectively within Agile development environments
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