Summary
Recruiting from Scratch is representing a venture-backed company focused on unlocking industrial data and powering mission-critical workflows across maintenance, operations, manufacturing, and logistics. The AI Engineer will design and deploy machine learning models, develop full-stack applications, collaborate on engineering challenges, optimize systems, and analyze data to improve operational efficiency and decision-making.
Responsibilities
- Design and implement machine learning models to enhance operational efficiency and data-driven decision-making
- Develop full-stack applications using Python and TypeScript to streamline workflows and improve user experience
- Collaborate with cross-functional teams to identify and address complex engineering challenges
- Optimize existing systems for performance, scalability, and reliability in high-stakes environments
- Analyze and visualize data to provide actionable insights for ongoing projects and initiatives
Skills
- 3+ years of experience in software engineering, with a strong focus on AI and machine learning applications
- Proficiency in Python and TypeScript, with a solid understanding of full-stack development principles
- Experience in deploying machine learning models and integrating them into production systems
- Strong problem-solving skills with a track record of delivering successful engineering projects
- Familiarity with cloud platforms and services that support AI and data workflows
- Experience in industrial applications, particularly within manufacturing or logistics sectors
- Knowledge of computer vision techniques and their application in real-world scenarios
Qualifications
Must Haves
- 3+ years of experience in software engineering, with a strong focus on AI and machine learning applications
- Proficiency in Python and TypeScript, with a solid understanding of full-stack development principles
- Experience in deploying machine learning models and integrating them into production systems
- Strong problem-solving skills with a track record of delivering successful engineering projects
Nice to Haves
- Familiarity with cloud platforms and services that support AI and data workflows
- Experience in industrial applications, particularly within manufacturing or logistics sectors
- Knowledge of computer vision techniques and their application in real-world scenarios
Benefits
- Equity options of 1% to 1.5%
- On-site or remote work arrangement