Research and introduce emergent technologies into the business which empower future product development,
Leverage your diverse background and deep skillset in Machine Learning to deliver technological innovation.
Execute applied ML for Advanced Engineering and R&D settings through proof of concepts and pilots.
Stay ahead of industry trends related to AI, ML, and Cloud technologies – while rapidly evaluating their fit.
De-risk technologies prior to business introduction by leveraging multiple approaches such as: Technology Readiness Level process, start-up engagements, and joint developments.
Support the engagement of external partnerships, internal partnerships, or university engagements to accelerate technology delivery.
Foster collaboration not only within your discipline but also with subject matter experts across the business, including mechanical, electrical and design engineers.
Proven track record of developing, deploying, and implementing impactful AI or ML solutions connected to business objectives.
Effective at evaluating technology feasibility and moving through development process.
Demonstrated experience using fundamental ML techniques such as unsupervised, supervised, regression, dimensionality reduction, or similar.
Familiar with advanced Machine Learning and AI methods such as CNN's, transformers, NLP, Computer Vision, or similar.
Capable of developing robust MLOps pipelines to ensure efficient deployment, monitoring, and scaling of ML models.
Can developed in cloud, local, or edge environments leveraging associated libraries and tools.
Comfortable with Data Engineering, Data Collection, ETL, and data architecture principles.
Familiar with different types of data collection methods or hardware in an engineering lab setting.
Insatiably curious about emergent technologies, understanding their principles, and demonstrating their value in relevant environments.
Bachelor of Science degree in Machine Learning, Data Science, Electrical Engineering, Computer Science, or related field.
2+ Years experience using Machine Learning Engineering skillsets in Research and Development, Advanced Engineering, or Lab environment.
Excellent technical communication skills and fundamental project management abilities.
Periodic travel may be required, up to 10%.
Hands on experience.
