Senior AI/ML Software Engineer

Dearborn, MI
W2
Position Description
Employees in this job function are responsible for designing, developing, testing and maintaining software applications and products to meet customer needs. They are involved in the entire software development lifecycle including designing software architecture, writing code, testing for quality and deploying the software to meet customer requirements. Full-stack software engineering roles, who can develop all components of software including user interface and server side also fall within this job function. Key Responsibilities: 1. Engage with customers to deeply understand their use-cases, pain points, and requirements, showcasing empathy and advocating for user-centric software solutions 2. Solve complex problems by designing, developing, and delivering using various tools, languages, frameworks, methodologies (like agile) and technologies 3. Assess the requirements of the software application or service and determine the most suitable technology stack, integration method, deployment strategy, etc. 4. Create high-level software architecture designs that outline the overall structure, components, and interfaces of the application 5. Collaborate with cross functional teams like product owners, designers, architects etc. 6. Define and implement software test strategy, guidelines, policies and processes in line with organization vision, industry regulations and market best practices. 7. Work on continuously improving performance and optimizing the application and implement new technologies to maximize development efficiency 8. Familiar with programming practices, such as test-driven development, continuous integration, and continuous delivery 9. Support security practices to safeguard user data including encryption and anonymization. 10. Create user-friendly and interactive interfaces 11. Develop and maintain back-end applications like APIs and microservices using server-side languages 12. Evaluate and incorporate emerging technologies and capabilities to deliver their solutions, and are monitoring and participating in solutions for new stack layers, often involving industry collaboration
Skills Required
Python, Java, SQL, API, Cloud Computing, Relational Databases
Skills Preferred
Artificial Intelligence & Expert Systems, Google Cloud Platform, Web Applications, Supply Chain Knowledge
Experience Required
Engineer 3 Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang. 6+ years in IT; 4+ years in development
Experience Preferred
Hybrid Role 4 days onsite
Education Required
Bachelor's Degree
Education Preferred
Master's Degree
Additional Safety Training/Licensing/Personal Protection Requirements
Additional Information :
Experience in AI/ML, data science, or advanced analytics, with commitment to continue learning AI/ML. Comfortable interfacing with business and gathering business requirements. Translating business requirements into technical solutions Software development lifecycle experience Leveraging AI to assist with coding and daily tasks Knowledge of supply-chain domain Experience with Test Driven Development (TDD) and Continuous Integration/Continuous Delivery (CI/CD) tools and pipelines