Artificial Intelligence AI & Machine Learning ML Specialist - KPI Manufacturing

Key Responsibilities

• Design, build, and train machine‑learning models to solve business problems across multiple domains.
• Implement end‑to‑end AI pipelines, including data preprocessing, feature engineering, model selection, and evaluation.
• Deploy models to production environments using cloud services (AWS) and containerization (Docker) ensuring scalability and reliability.
• Collaborate with data engineers, product managers, and domain experts to integrate AI solutions into existing systems.
• Monitor model performance, conduct root‑cause analysis, and iterate to improve accuracy and efficiency.

Requirements

• Strong proficiency in Python and experience with TensorFlow, PyTorch, or Scikit-learn.
• Hands‑on experience deploying ML models on AWS (SageMaker, EC2, Lambda) and using Docker for containerization.
• Solid understanding of statistical modeling, supervised/unsupervised learning, and model evaluation techniques.
• Ability to translate complex data insights into actionable business recommendations.
• Excellent problem‑solving skills and ability to work collaboratively in cross‑functional teams.