AI Architect
Stride, Inc.
AWSAzureDockerKubernetesPythonPyTorchScikit-LearnTensorflowTerraform
AI Engineer
Stride, Inc.
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $66,380 - $145,000 per year
Job Level
Mid-LevelSenior
Tech Stack
AWSAzureDockerKubernetesPythonPyTorchScikit-LearnTensorflowTerraform
About the role
- Responsible for end-to-end development and deployment of AI-powered data products
- Provide technical guidance to cross-functional teams
- Collaborate with IT managers, data stewards, and data engineers
- Ensure that AI workflows are efficiently provisioned with high-quality data
- Translate business needs into innovative yet practical AI solutions
- Manage the development of AI resources by gathering requirements and supporting integration of AI models
Requirements
- Bachelor’s degree in Computer Science, Math, Physics, Engineering, or related quantitative field AND Six (6) years’ related experience; OR Equivalent combination of education and experience
- Hands-on experience with modern ML libraries (e.g., Python-based frameworks such as TensorFlow, PyTorch, scikit-learn)
- Proficiency with AWS, Azure, Docker, Kubernetes, and Terraform
- Ability to design, implement, and maintain robust ML pipelines
- High attention to detail and high level of accuracy
- Strong analytical skills
- Strong customer service orientation
- Professional integrity necessary to maintain confidentiality
- Strong planning skills and ability to manage multiple projects simultaneously
- Excellent verbal, and written communication skills
- Proficient with Microsoft Office (Word, Excel, PowerPoint, and Outlook)
Benefits
- Health benefits
- Retirement contributions
- Paid time off
- Eligible for a bonus
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningAI developmentdata product developmentML librariesTensorFlowPyTorchscikit-learnML pipelinesdata integrationdata analysis
Soft skills
analytical skillscustomer service orientationprofessional integrityplanning skillscommunication skillsattention to detailproject managementcollaborationtechnical guidanceproblem-solving
