Designs, develops, and maintains scalable software solutions integrating AI and machine learning models into commercial products and internal processes. Collaborates with data scientists, product managers, and cross-functional stakeholders; writes high-quality code; reviews architectures; supports product launches and process improvements; and follows Agile, NPI, and deployment best practices.
Job Description SummaryJob Description
ML Software Engineer in AI/ML team will be responsible for designing, developing, and maintaining software solutions that leverage artificial intelligence and machine learning to improve GEV commercial products and internal processes. ML Software Engineer will work closely with data scientists, product managers, and other stakeholders to deliver high-quality, scalable, and efficient software solutions
Responsibilities
- Provide technical solutions in technology and design. Collaborate with data scientists to integrate AI/ML models into software solutions
- Work closely with cross-functional teams to understand business requirements and translate them into technical solutions
- Design and architect scalable and efficient software systems. Ensure the scalability, performance, and security of software applications
- Write clean, efficient, and well-documented code
- Stay up to date with the latest trends and technologies in AI/ML and software engineering
- Contribute to the development of internal tools and processes to improve operational efficiency
- Support Senior & Principal Engineers to safeguard design qualities.
- Maintain an active role in product introduction, cost improvements, schedule adherence and problem resolution to meet business needs.
- Ensure adherence to software development methodologies, including Agile and the New Product Introduction (NPI) / OTR processes. Maintain high standards of code quality and documentation. Implement best practices for software development and deployment.
- Participate in the review of technical designs and architectures and contribute to the improvement of coding standards and best practices.
- Foster a collaborative and inclusive team environment. Encourage continuous learning and development within the team.
Qualifications & requirements
- Bachelor or Master of Science in Computer Science, Machine Learning, Engineering, or Mathematics
- 3-5 years of strong software engineering experience
- Experience with web technologies and version control system in industrial context
- Ability to work across organizations in a matrix environment
- Strong oral and written communication skills
- Strong interpersonal skills
- Problem analysis and resolution skills
- Experience with Python, Javascript, AWS. Experience with frameworks and libraries such as React, Numpy, Torch, Sanic,
Relocation Assistance Provided: Yes
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