projects using Big Data technologies. Utilize machine learning, data mining, and anomaly detection to model building and data analytics. Experience with machine learning model deployment and monitoring. Strong Technologies: Big Data technologies (e.g., Hadoop, Spark) Machine learning frameworks (e.g., TensorFlow, PyTorch)
electronic engineering, Digital Signal Processing, Control systems, Computer Science, or such relevant qualifications beamformers and pulsar timing machines and transient search machines. Multi-rate and parallel implementations as SRAM/QDR, DDR-DRAM or HMC/HBM Ethernet FPGA controller implementations. Systems Engineering processes
electronic engineering, Digital Signal Processing, Control systems, Computer Science, or such relevant qualifications beamformers and pulsar timing machines and transient search machines. Multi-rate and parallel implementations as SRAM/QDR, DDR-DRAM or HMC/HBM Ethernet FPGA controller implementations. Systems Engineering processes
operation and optimization of their shop floor control system and various local/global applications within distribution facility. Responsibilities: Shop Floor Control System - Andromeda: Master application source code Manage various systems including Tonello washing machines, CCTV/security systems, payroll systems, etc.
proficiency with Microsoft applications. Exposure to Machine Learning programs (ie. MS Azure ML) Strong Financial outputs Experience using analytics techniques (AI/Machine Learning, Econometrics, Operations Research, Statistics
Responsibilities: Utilize advanced statistical techniques and machine learning algorithms to analyze historical collection analysis and modeling. Solid understanding of machine learning algorithms and statistical modeling techniques
Responsibilities: Utilize advanced statistical techniques and machine learning algorithms to analyze historical collection analysis and modeling. Solid understanding of machine learning algorithms and statistical modeling techniques
Relational and time scale databases Knowledge of Machine Learning Knowledge of Artificial Intelligence concepts concepts algorithms Deployment of Machine Learning algorithms. Plant signals and systems modelling. Web Relational and time scale databases Knowledge of Machine Learning Knowledge of Artificial Intelligence concepts concepts algorithms Deployment of Machine Learning algorithms. Plant signals and systems modelling. Web
Relational and time scale databases Knowledge of Machine Learning Knowledge of Artificial Intelligence concepts concepts algorithms Deployment of Machine Learning algorithms. Plant signals and systems modelling. Web Relational and time scale databases Knowledge of Machine Learning Knowledge of Artificial Intelligence concepts concepts algorithms Deployment of Machine Learning algorithms. Plant signals and systems modelling. Web
acquisition, data cleansing, data transformation
Machine learning algorithms to uncover patterns, make predictions