Responsibilities:
– Strong programming skills in Python and hands-on experience with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, or similar tools.
– Proven experience in developing and implementing Predictive Maintenance, Anomaly Detection, and Process Optimization solutions.
– Solid understanding of sensor data analytics, manufacturing equipment, and industrial automation systems, including PLCs, SCADA systems and machine controllers.
– Experience working with industrial data acquisition, edge computing, and real-time analytics is preferred.
– Strong analytical, problem-solving, and communication skills, with the ability to collaborate effectively across cross-functional teams.
Preferred Candidate:
– Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, Artificial Intelligence with experience in the manufacturing industry.
– 5+ years of experience in Industrial AI, Industrial IoT (IIoT), machine data analytics, or related domains.
Contact for more details
Ms. Madhumitha
9047766046
madhumitha.v@haarvard.com
