Description

You will design, build, and deploy machine learning models for factory and warehouse environments.

This role is on-site.

Responsibilities

• Build and maintain end-to-end ML pipelines, covering data collection, preprocessing, deployment, and monitoring.
• Develop models using diverse datasets, including images, sensor data, voice, text, and tabular information.
• Evaluate and compare models using statistical methods to ensure performance and feasibility.
• Implement alerting and monitoring systems to address issues with deployed models.
• Write clean, modular, and sustainable code to translate research into production-ready solutions.

Required Skills

• 5+ years of experience in machine learning roles.
• In-depth knowledge of Python for high-performance, data-intensive applications.
• Proficiency with PyTorch, Jax, or TensorFlow.
• Expertise in computer vision, large language models, recommender systems, or operations research.
• Experience deploying and maintaining machine learning solutions in production environments.
• Foundational knowledge of statistics for model comparison and performance assessment.
• Any Graduate degree.

Preferred Skills

• Experience with CI/CD, Kubernetes, MLflow, and AWS.
• Background in manufacturing, industrial automation, or warehouse environments.

Key Skills

Education

Any Gradute