Description

You will design and architect end-to-end IIoT analytics solutions for process and manufacturing industries.

Responsibilities

• Design and architect end-to-end IIoT analytics solutions for various industrial processes.
• Identify technical problems and implement solutions using root cause analysis.
• Engage with strategic customers to assess needs and develop tailored analytics solutions.
• Collaborate with stakeholders to leverage manufacturing data for business efficiency improvements.
• Build machine learning and deep learning models to drive industrial insights.

Required Skills

• 10+ years of experience in Data Science and IoT within industrial settings.
• Hands-on experience with machine learning algorithms including Linear Regression, Logistic Regression, SVMs, and KNNs.
• Experience implementing deep learning neural networks using TensorFlow or Keras.
• Proficiency in Python, C++, or R.
• Strong SQL and/or NoSQL database skills.
• Experience with at least one cloud platform: AWS, Azure, or GCP.
• Knowledge of asset performance monitoring and remote asset monitoring solutions.
• Understanding of PLC, SCADA, and Historian engineering and commissioning.
• Familiarity with operational technology in Life Sciences, Power, or Oil & Gas domains.

Preferred Skills

• Experience working within manufacturing plant environments.

Key Skills

Education

Any Graduate