AI/ML Engineer
Core
Design, develop, and deploy machine learning solutions to optimize manufacturing operations, improve quality, and enable data-driven decision-making.
Role type
AI/ML Engineer (Manufacturing)
Builds
Predictive models for quality prediction, anomaly detection, forecasting, and process optimization deployed in large-scale industrial environments.
Domain
Manufacturing / Industrial IoT
Deliverable
production ML models
Required skills
Python, machine learning algorithms, Scikit-learn, PyTorch, TensorFlow, SQL, MLOps, Git, Docker
Preferred skills
Apache Spark, Azure Databricks, MLflow, Kubernetes, time-series forecasting, computer vision, CI/CD model deployment
Technologies
Scikit-learn, PyTorch, TensorFlow, SQL, Git, Docker, Apache Spark, Azure Databricks, MLflow, Kubernetes
Responsibilities
Design and optimize ML/deep learning models for business use cases; engineer features from structured and time-series datasets; deploy and monitor models using MLOps practices; integrate ML solutions into enterprise applications; evaluate model performance and monitor data drift; collaborate with cross-functional teams to deliver scalable AI solutions.
Seniority
Mid-Senior, hands-on IC