CHEP is seeking a Senior Machine Learning Engineer to design and implement scalable machine learning solutions, collaborating with cross-functional teams to optimize data-driven insights. The role emphasizes MLOps and the transition of models from experimentation to production, with a focus on sustainability and innovation
Job Summary
Design, build, deploy, and operate scalable machine learning and AI solutions in production.
Work closely with Data Scientists and Engineers to productionize ML and emerging GenAI solutions, owning the full lifecycle.
Collaborate with key stakeholders to identify business challenges, translating ambiguous problems into structured analyses using statistical modelling and machine learning algorithms.
Matching Summary
Match Score: 85
CHEP is seeking a Senior Machine Learning Engineer to design and implement scalable machine learning solutions, collaborating with cross-functional teams to optimize data-driven insights. The role emphasizes MLOps and the transition of models from experimentation to production, with a focus on sustainability and innovation.
Skills & Requirements
Must-have
Python programming language
Machine learning algorithms
ML pipelines
Production grade software systems
MLOps best practices
Databricks platform
Nice-to-have
AI/GenAI engineering use cases
Continuous learning
Creative methods for explanation
Emerging tools and techniques
Key Requirements
3+ years of experience in Machine Learning Engineering
Hands on experience deploying ML models in production
Experience using ML lifecycle management tools
Bachelor’s or master’s degree in computer science or related field