Senior Staff Machine Learning Engineer

Positively disrupting an industry that has not seen any innovation in over 50 years Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology big data machine learning and AI to seamlessly bring together OEMs retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3000 people across North America Asia and Europe.

Summary:

Responsible for leading the strategic design and development of scalable machine learning infrastructure and systems across the organization. As a top-tier individual contributor this role provides deep technical expertise sets engineering standards and drives the long-term architecture of ML platforms. The Senior Staff ML Engineer partners with cross-functional leaders mentors engineering teams and delivers reliable high-impact ML solutions at scale.

Duties & Responsibilities:

Architect and lead the development of large-scale machine learning platforms and services that support model training deployment and lifecycle management.
Collaborate with Data Science Applied Science and Product teams to productionize ML models with performance reliability and compliance in mind.
Define and implement MLOps best practices including model versioning automated retraining monitoring and CI/CD workflows.
Lead technical decision-making and platform evolution to ensure scalability security and maintainability of ML infrastructure.
Optimize inference systems for real-time and batch applications across cloud and hybrid environments.
Serve as a technical advisor to leadership and engineering teams on architectural decisions and ML infrastructure investments.
Mentor and develop senior-level engineers across teams and contribute to technical capability building across the organization.
Evaluate and incorporate new technologies and frameworks to advance the ML engineering roadmap.

Qualifications:

Bachelors or Masters degree in Computer Science Engineering or a related technical field.
12 years of experience in software or ML engineering with significant time spent in leadership and architecture roles.
Proven experience building and scaling machine learning systems in production environments.
Deep proficiency in Python and ML frameworks (e.g. TensorFlow PyTorch Scikit-learn).
Expert in distributed systems cloud platforms (AWS GCP Azure) and container orchestration (Kubernetes).
Strong understanding of MLOps tools model performance monitoring and continuous delivery of ML solutions.
Experience mentoring senior engineers and influencing cross-functional architectural strategies.
Excellent communication collaboration and problem-solving skills.

Perks & Benefits

• Opportunity to work with some of the smartest minds to solve complex challenges at scale.

• Impactful role in shaping and securing a global cloud-native & AI driven platform.

• Innovative collaborative and fast-paced culture.

Current Tekion Employees: Please apply via the Internal Job Board in Ashby

Note: Tekion recently transitioned to a new recruiting tool and we appreciate your patience and feedback as we adjust to our new system!

Tekion is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race religion color national origin gender (including pregnancy childbirth or related medical conditions) sexual orientation gender identity gender expression age status as a protected veteran status as an individual with a disability victim of violence or having a family member who is a victim of violence the intersectionality of two or more protected categories or other applicable legally protected characteristics.

For more information on our privacy practices please refer to our Applicant Privacy Notice here.

Required Experience:

Staff IC