disciplines and troubleshooting on production machines
production machines Identify possible hardware and software breakdowns using the departmental/machine systems maintenance on departmental machines as well as machine control systems Machine ownership Departmental ownership ownership. IMPROVEMENTS - Provide machine improvements to increase quality/production levels and to reduce in-line with pareto and root cause analysis Maximum machine availability Pursue energy saving projects Responsible analysis/root cause analysis and reports on repetitive machine related problems Report in detail on performed
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
projects using Big Data technologies.
interpreting data. We also want to see a passion for machine learning and research. Your goal will be to help trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble Data Scientist or Data Analyst Understanding of machine learning and operations research Knowledge of R
five years experience in Artificial Intelligence/Machine Learning and software development in Artificial i>Experience in the following:
years ' experience in Artificial Intelligence/Machine Learning (ML) and software development in Artificial advantageous; Experience in the following: Applied machine-learning with regression, classification, models TensorFlow, Keras or Theano; Bringing theoretical machine-learning approaches illustrated in academia research
offerings.
implementation of Supervised and Unsupervised Machine Learning Algorithms to solve meaningful business tools like Hadoop and Spark Skills Required: Azure Machine Learning Services Azure Auto ML Azure Data Lake