Machine Learning Engineer
On-siteAtlanta, Georgia, United States
Job Summary
Design complex systems of systems for training and running machine learning models with industry best practices, defining projects and scope for teams of engineers while guiding their completion. Develop, identify, and report intellectual property through patent applications, invention disclosures, white papers, and presentations. Contribute to all phases of product development from analysis through deployment, collaborate with product teams and architects to understand AI and data engineering opportunities, and participate in peer design and code reviews. Lead and manage a team of machine learning engineers, data scientists, or related roles by setting clear goals, providing guidance, and fostering a collaborative environment. Demonstrate effective communication with executives, customers, and peers while elevating colleague performance through training and mentoring.
Required Qualifications
- BS degree in a STEM major or equivalent job experience
- 7+ years of related work experience
- proven experience leading a team of MLE, DS, SDE, DevOps, or related roles
- Experience with end-to-end development of ML models, from ideation to deployment, ensuring best practices, scalability and reliability
- Cloud Certification
Desired Qualifications
- Master's Degree
- AI/ML coursework
- Application Development/Programming - Ability to review code for quality, performance, and efficiency, and optimize critical parts of the codebase
- Application Development/Programming - Ability to establish the best practices of Software Development Life Cycle for the team
- Artificial Intelligence - Designing scalable and maintainable machine learning architectures and frameworks for the organization's products and services
- Artificial Intelligence - Ability to define the technical vision and roadmap for the MLE team aligned with the organization's goals and industry trends
- Big Data Analytics - Deep understanding of the domain or industry in which the machine learning solutions are being applied, enabling the company to develop impactful big data solutions
- Cloud Computing - Proficiency in data architecture design, data strategy development, data orchestration, data integration, ETL development, data modeling, parallel processing and performance optimization
- Collaboration - Being able to engage with internal stakeholders, including data scientists, business leaders, product managers, and executives, to understand requirements and present technical solutions
- Collaboration - Ability to collaborate with other teams, such as software engineering, data engineering, and business intelligence, to integrate machine learning solutions into larger systems
- Mathematics - Ability to read and comprehend research papers in latest machine learning field, and applying innovative techniques to real-world problems
- Technical Leadership - Be able to lead and manage a team of machine learning engineers, data scientists, or related roles
- Technical Leadership - Ability to set clear goals, provide guidance, and foster a collaborative and productive team environment
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.