Senior Engineer / Lead Engineer - Virtual Engineering - AI ML
Core
Leverage Machine Learning to improve Manufacturing Engineering and Operations processes, executing end-to-end projects from ideation to deployment.
Role type
Senior IC Machine Learning Engineer (Manufacturing/Automotive)
Builds
AI/ML models for classification, regression, clustering, and recommendation systems deployed into production manufacturing environments.
Domain
Automotive Manufacturing / Industrial Operations
Deliverable
production ML models
Required skills
Python, Scikit-learn, TensorFlow, PyTorch, XGBoost, MLOps (MLflow, Kubeflow, Vertex AI, Azure ML), SQL/NoSQL, data preprocessing, feature engineering, EDA, model evaluation, statistics, linear algebra
Preferred skills
Deep learning architectures (CNNs, RNNs, Transformers), cloud platforms (Azure, AWS), distributed training, translating domain problems into AI solutions
Technologies
Python, TensorFlow, PyTorch, XGBoost, MLflow, Kubeflow, Vertex AI, Azure ML, SQL, NoSQL
Responsibilities
Collaborate with stakeholders to define and solve manufacturing problems using ML; Design, develop, and fine-tune AI/ML models; Automate workflows and CI/CD pipelines using MLOps tools; Evaluate, validate, and benchmark model performance; Deploy AI models into production; Establish monitoring and maintenance processes for model accuracy; Ensure compliance with data security and regulatory requirements.
Seniority
Senior, hands-on IC