AI ML Engineer
Core
Transform proof-of-concept AI/ML projects into full-scale production applications and deploy scalable machine learning models to solve complex business problems.
Role type
AI/ML Engineer (Production & Deployment)
Builds
Production-ready AI/ML solutions, scalable machine learning models, and integrated data systems
Domain
Quality assurance, testing, inspection, and certification (consumer products, food, life sciences)
Deliverable
production ML models
Required skills
Python, TensorFlow, PyTorch, scikit-learn, NumPy, Pandas, Keras, SQL, Java, C++, data preprocessing, feature engineering, cloud platforms (AWS, Azure, Google Cloud), Docker, Kubernetes, supervised/unsupervised learning, deep learning, model evaluation
Preferred skills
Natural Language Processing (NLP), generative AI, computer vision, quality management, laboratory testing processes, supply chain management
Technologies
TensorFlow, PyTorch, scikit-learn, NumPy, Pandas, Keras, AWS, Azure, Google Cloud, Docker, Kubernetes
Responsibilities
Transition AI/ML prototypes into production-ready solutions, design and deploy scalable machine learning models, integrate AI/ML solutions into existing systems, monitor and optimize model performance, write clean and maintainable code, identify opportunities for process improvement using AI/ML
Seniority
Mid-level, hands-on IC