Tagup is looking to solve complex technical challenges in military logistics by combining expert knowledge with artificial intelligence to revolutionize military logistics and aviation systems
Requirements
- 4+ years of machine learning experience, with strong Python skills and 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
Responsibilities
- Develop, train, and optimize ML models for large-scale applications
- 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 and the industrial processes they will support
Other
- Applicants must be authorized to work for ANY employer in the U.S.
- We are unable to sponsor or take over sponsorship of an employment Visa at this time
- Some customer travel may be required
- 4+ years of experience
- Tagup is an equal opportunity employer and individuals seeking employment with us are considered without regard to race, color, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law
