Machine Learning Engineer
Core
Developing, maintaining, and improving AI/ML solutions in a modern cloud-based environment to support business-critical supply chain processes.
Role type
Machine Learning Engineer
Builds
Scalable and reliable machine learning solutions for supply chain business-critical processes
Domain
Supply Chain / Cloud-based AI/ML
Deliverable
production ML models
Required skills
Python, software development principles, algorithms, data structures, design patterns, machine learning concepts, Git, MLOps, Google Cloud Platform (GCP), Agile development
Preferred skills
modern AI/ML frameworks, cloud-native architectures, distributed systems, software testing methodologies, multiple programming languages, supply chain domain knowledge
Technologies
Python, Git, Google Cloud Platform (GCP)
Responsibilities
Develop, implement, and maintain machine learning solutions in production environments; Analyze, troubleshoot, and resolve issues in existing AI/ML solutions; Design and implement appropriate testing strategies for AI/ML applications; Collaborate with stakeholders and development teams to define requirements and technical solutions; Contribute to technical decision-making regarding tools, frameworks, and implementation approaches; Support MLOps practices, model deployment, monitoring, and maintenance activities
Seniority
Mid-level, hands-on IC
