Salary
💰 $125,000 - $165,000 per year
Tech Stack
AnsibleAWSAzureCloudGoogle Cloud PlatformKubernetesMongoDBMySQLPostgresPythonPyTorchTensorflowTerraform
About the role
- Develop, train, and optimize ML models for large-scale applications
- Design, deploy, and scale AI solutions that directly support mission-critical operations
- Build pipelines for data ingestion and model deployment
- Work with engineers and subject-matter experts to refine solutions
- Conduct testing and validation to ensure reliability
- Co-author technical reports on data analysis and model performance
- Continuously improve ML infrastructure and workflows
- Collaborate with customers to identify new data sources (some customer travel may be required)
- Create models and infrastructure that deliver measurable improvements in reliability, efficiency, and performance
Requirements
- 4+ years of machine learning experience
- Strong Python skills
- Proficiency in frameworks such as PyTorch or TensorFlow
- Proven ability to deploy ML models into production and work with large, complex datasets
- Hands-on experience with MLOps tools and practices, including Kubernetes, MLflow, and CI/CD pipelines
- Experience building and managing cloud infrastructure as code (AWS, Azure, or GCP) with tools such as Terraform or Ansible
- Familiarity with datastores (MySQL, Postgres, or MongoDB)
- Prior exposure to aviation, defense, or other safety-critical environments is a plus
- Applicants must be authorized to work for ANY employer in the U.S.; no visa sponsorship
- Some customer travel may be required
- Competitive salary and benefits package
- Employee Stock Option Plan (part-ownership)
- Comprehensive health insurance benefits
- Access to the company’s 401K plan
- Team-oriented work environment
- Regular company outings
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningPythonPyTorchTensorFlowMLOpsKubernetesMLflowCI/CDcloud infrastructureTerraform
Soft skills
collaborationcommunicationproblem-solvingtestingvalidation