A leading manufacturing AI company is seeking an ML Data Engineer to develop data and machine learning systems aimed at optimizing manufacturing processes. You will engage in end-to-end project management, from conceptualization to deployment, while working with sensor data and operational analytics. Ideal candidates should have 3-5 years of experience in ML/Data Engineering, a strong background in distributed data systems, and proficiency in Python. This role offers a competitive salary and the potential for significant career growth.
Qualifications
3-5 years professional experience as ML Engineer/Data Engineer.
Proficient with distributed data processing systems.
Experience with SQL and GCP is a plus.
Responsibilities
Develop and maintain systems managing the ML lifecycle.
Work with data scientists to deploy ML/AI models.
Engage with teams for real-world result validation.
Skills
Machine Learning engineering
Data pipeline development
Distributed data processing
Python proficiency
Education
M.S. or PhD in Machine Learning, Computer Science or related fields
Tools
Apache Beam/Dataflow
MLFlow
AWS Sagemaker
Job description
A leading manufacturing AI company is seeking an ML Data Engineer to develop data and machine learning systems aimed at optimizing manufacturing processes. You will engage in end-to-end project management, from conceptualization to deployment, while working with sensor data and operational analytics. Ideal candidates should have 3-5 years of experience in ML/Data Engineering, a strong background in distributed data systems, and proficiency in Python. This role offers a competitive salary and the potential for significant career growth.