Description

Design and architect end-to-end IIOT analytics solutions for process and manufacturing industries. You will identify industrial problems, implement root cause analysis, and build asset-performance monitoring systems.

Responsibilities

• Architect and implement end-to-end analytics solutions for manufacturing and process industries.
• Identify industrial problems and apply root cause analysis to develop technical solutions.
• Engage with strategic customers to assess needs and define technical approaches.
• Build asset-performance and remote monitoring analytics leveraging manufacturing data.

Required Skills

• 8+ years of experience in Data Science and IoT.
• Hands-on experience with machine learning algorithms: Linear regression, logistic regression, SVMs, and KNNs.
• Experience implementing Deep learning neural networks using TensorFlow or Keras.
• Proficiency in C++, Python, or R.
• Strong knowledge of SQL and/or NoSQL databases.
• Experience with at least one cloud platform: AWS, Azure, or GCP.
• Understanding of engineering and commissioning for PLCs, SCADA, and Historian.
• Knowledge of operation technology within Life Sciences, Power, or Oil & Gas domains.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Graduate