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Machine Learning Engineer at RM Dayton Analytics (Dallas, TX)

The Machine Learning Engineer will have the unique combination of business acumen needed to interface directly with key stakeholders to understand the problem along with the skills and vision to translate the need into a world-class technical solution using the latest technologies. This person will be a hands-on role who is responsible for building ML engineering solutions for our client's Enterprise using cloud-based data platform.
Functions: Design machine learning systems for scalability and to put into operations. Select appropriate data sets and data representation systems for feature engineering. Research and implement appropriate ML algorithms and tools. Perform ML tests, experiments, fine-tuning and monitoring. Measure and retrain models when necessary.
Tech Skills: Expertise in Python, Spark, H20.ai, and data science tool kits and frameworks (scikit-learn, TensorFlow, Keras, Deeplearning4j)

Job DutiesStudy and transform data science prototypesResearch and implement appropriate ML algorithms and toolsExperience with both machine learning and building scalable production servicesUnderstand, analyze data from multiple data sourcesExpertise in one or more object-oriented languages, including Python, Go, Java, or C++, and an eagerness to learn moreExperience using machine learning libraries or platforms, including TensorFlow, Caffe, Theanos, Scikit-Learn, or ML Lib for productionAbility to solve complex business problems and apply machine learning to optimize critical business metricsStrong adherence to metrics-driven development, with a disciplined and analytical approach to product development.Create robust and automated pipelines to ingest and process structured and unstructured data from source systems into analytical platforms using batch and streaming mechanisms leveraging cloud native toolsetWork activity includes processing complex data sets, leveraging technologies used to process these disparate data sets and understanding the correlations as well as patterns that exist between these different data setsParticipate in educating and cross-training other team membersProvide regular updates to all relevant stakeholdersParticipate in daily scrum calls and provide clear visibility to work productsProven experience as a Machine Learning Engineer or similar roleUnderstanding of data structures, data modeling, and software architectureDeep knowledge of math, probability, statistics, and algorithmsAbility to write robust code in Python, Java, and RFamiliarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)Excellent communication skillsAbility to work in a teamOutstanding analytical and problem-solving skillsBSc in Computer Science, Mathematics or similar field; Masters degree is a plusExperience developing and implementing enterprise-level data solutions utilizing Python (Scikit-lean, Scipy, Pandas, Numpy, Tensorflow) , Java, Spark, and Scala, Airflow, HiveExperience working on Big Data Processing Frameworks and Tools Map Reduce, YARN, Hive, Pig, Oozie, Sqoop, and good knowledge of common big data file formats (e.g., Parquet, ORC, etc.)

Job Requirements
Proven experience as a Machine Learning Engineer or similar roleUnderstanding of data structures, data modeling, and software architectureDeep knowledge of math, probability, statistics, and algorithmsAbility to write robust code in Python, Java, and RFamiliarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)Excellent communication skillsAbility to work in a teamOutstanding analytical and problem-solving skillsBSc in Computer Science, Mathematics or similar field; Masters degree is a plusExperience developing and implementing enterprise-level data solutions utilizing Python (Scikit-lean, Scipy, Pandas, Numpy, Tensorflow) , Java, Spark, and Scala, Airflow, HiveExperience working on Big Data Processing Frameworks and Tools Map Reduce, YARN, Hive, Pig, Oozie, Sqoop, and good knowledge of common big data file formats (e.g., Parquet, ORC, etc.)

RM Dayton Analytics, Ltd. Co. - Aligning Tomorrows Knowledge Worker
Equal Opportunity Employer. All qualified applicants will receive consideration for employment and will not be discriminated against based on race. color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, pregnancy, genetic information or any other consideration prohibited by law or contract.