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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 Duties

  • Study and transform data science prototypes
  • Research and implement appropriate ML algorithms and tools
  • Experience with both machine learning and building scalable production services
  • Understand, analyze data from multiple data sources
  • Expertise in one or more object-oriented languages, including Python, Go, Java, or C++, and an eagerness to learn more
  • Experience using machine learning libraries or platforms, including TensorFlow, Caffe, Theanos, Scikit-Learn, or ML Lib for production
  • Ability to solve complex business problems and apply machine learning to optimize critical business metrics
  • Strong 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 toolset
  • Work 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 sets
  • Participate in educating and cross-training other team members
  • Provide regular updates to all relevant stakeholders
  • Participate in daily scrum calls and provide clear visibility to work products
  • Proven experience as a Machine Learning Engineer or similar role
  • Understanding of data structures, data modeling, and software architecture
  • Deep knowledge of math, probability, statistics, and algorithms
  • Ability to write robust code in Python, Java, and R
  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
  • Excellent communication skills
  • Ability to work in a team
  • Outstanding analytical and problem-solving skills
  • BSc in Computer Science, Mathematics or similar field; Masters degree is a plus
  • Experience developing and implementing enterprise-level data solutions utilizing Python (Scikit-lean, Scipy, Pandas, Numpy, Tensorflow) , Java, Spark, and Scala, Airflow, Hive
  • Experience 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 role
  • Understanding of data structures, data modeling, and software architecture
  • Deep knowledge of math, probability, statistics, and algorithms
  • Ability to write robust code in Python, Java, and R
  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
  • Excellent communication skills
  • Ability to work in a team
  • Outstanding analytical and problem-solving skills
  • BSc in Computer Science, Mathematics or similar field; Masters degree is a plus
  • Experience developing and implementing enterprise-level data solutions utilizing Python (Scikit-lean, Scipy, Pandas, Numpy, Tensorflow) , Java, Spark, and Scala, Airflow, Hive
  • Experience 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.