Location : ,
Machine learning Engineer
Round Rock, TX.-Onsite
Machine learning engineer(10+ yrs, )) with strong python coding skills
Essential requirements:
· Strong communication skills, both written and verbal
· Data engineering - no-sql, kafka, RMQ, RDBMS
· Understanding of mathematical, statistical, and theoretical foundations of statistics and machine learning (ML) and parametric and non-parametric models
· Understanding of ML lifecycle that includes feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop
- Strong Experience with machine learning in Python, SQL, Pandas, Numpy, Scikit Learn, Tensorflow, Keras, PyTorch or equivalent
· Use statistical techniques and ML methods for predictive modelling / classification of problems around clients, distribution, sales, marketing, client profiles, and segmentation
· Experience in Deep Learning and other Machine Learning techniques (e.g. regression, classification, topic modelling, time series, Neural Networks).
· Exposure / Knowledge in all Data Science offerings (Machine Learning, Anomaly Detection, Text Analytics / NLP, Computer Vision, Deep Learning)
· Knowledge of visualization tools (Power BI specially but Tableau, QlikView, etc. are also ok).
· Analyze large amounts of information to discover trends and patterns
· Research, design and prototype robust and scalable models based on machine learning, data mining, and statistical modeling to answer key business problems
· Build tools and support structures needed to analyze data, perform elements of data cleaning, feature selection and feature engineering and deliver projects in conjunction with best practices