A national shopfitting company based in Germiston has a vacancy for aMachine Shop Manager. Please note: All South African citizens who meet the requirements are welcome to apply/ You may deem your application to be unsuccessful if you have not received formal communication within 7 days after submit
data science and machine learning models; develop cutting-edge data science and machine learning models cross-functional teams to apply data science and machine learning models to business problems, ensuring Science. 5 years of experience in data science and machine learning, with a strong track record independent technical background, with expertise in a range of machine learning algorithms data science techniques. Strong experience in delivery across the lifecycle of machine learning products, adhering robust software engineering
plotter software, Tonello washing machines, CCTV, Laser finishing machines, Impronet Biometric systems, ADEC
piped music, paging, etc., Technology for sewing machines (Industry 4.0), Scanners, DC label printing and
Bartech software, ODIN Real time data from sewing machines.Global Applications
curating, and analyzing datasets and training machine learning models within the Conversational AI platform delivery/implementation. General understanding of machine learning core concepts (classification, clustering underfitting). Experience applying supervised machine learning techniques to real-world problems. Decent
solutions data science projects analytics and machine learning models to address business challenges Data Analysis and Modeling: Develop and deploy machine learning, AI, and algorithms to extract insights (advantageous) Proven experience in data science Hands-on machine learning and statistical analysis experience Proficient
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)
engines and services by applying strong expertise in machine learning, data mining and conducting information behaviour.
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