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
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
projects using Big Data technologies.
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
decision-making. Develop predictive models, algorithms, and machine learning techniques to optimize business processes up-to-date with the latest advancements in AI, machine learning, and data analytics technologies, and using analytical and AI tools. Experience with machine learning algorithms, statistical modeling, and Passion for exploring the potential of AI and machine learning to drive business innovation and transformation
statistical analysis, data mining techniques, and machine learning algorithms, you will extract insights and correlations using statistical analysis and machine learning algorithms. 2. Develop predictive models Proficiency in statistical analysis, data mining, and machine learning techniques. 5. Experience with programming
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 Requirements: Experience in data mining Understanding of machine learning and operations research Analytical mind
five years' experience in Artificial Intelligence/Machine Learning and software development in Artificial advantageous; Experience in the following: Applied machine-learning with regression, classification, models Demonstrated experience in bringing theoretical machine-learning approaches illustrated in academia research
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