Crossing Hurdles is seeking an Applied AI Engineer to design, develop, and deploy machine learning models for real-world business challenges. The role involves collaborating with teams to integrate AI solutions and optimizing models for performance and reliability.
Responsibilities:
- Design, develop, and deploy machine learning models to address real-world business problems
- Collaborate with cross-functional teams to identify opportunities for AI integration and innovation
- Preprocess, analyze, and interpret complex datasets using Python and related data tools
- Develop APIs and data pipelines to integrate machine learning models into production systems
- Optimize models for scalability, performance, and reliability in operational environments
- Document technical workflows, methodologies, and results clearly for internal teams
- Communicate technical concepts and solutions effectively to both technical and non-technical stakeholders
Requirements:
- Strong proficiency in Python for data processing, automation, and machine learning development
- Hands-on experience with machine learning frameworks and model development workflows
- Experience working with JSON data structures and API integrations
- Ability to translate business requirements into deployable AI solutions
- Strong written and verbal communication skills with attention to clarity and collaboration
- Familiarity with version control systems and collaborative development tools
- Self-motivated and comfortable working in a fast-paced remote environment