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AI, ML and Data Science Engineer Senior
Career Insights for Machine Learning Engineer
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Based on Maryland data
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What they do
A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.
$124,952 / year median in Maryland
Job Description
RealmOne was built on the principle that people matter first and foremost. We believe in providing a strong work/life balance by investing in our employees and encouraging professional and personal growth. We do this by offering exceptional benefits, flexible schedules, and the tools necessary to achieve success through paid training, mentoring, and the opportunity to work alongside top-notch industry professionals. We are searching for talented individuals who provide intelligence, engineering, and mission management expertise for the Government. This program will maximize the effectiveness and efficiency of our country's most important missions both at home and abroad. If you are ready to support a high-performing team that truly makes a difference, then come join us! Position contingent upon contract award! Job Description Combines deep data and analytics skills with strong business acumen to solve business problems by understanding, preparing, and analyzing data to predict emerging trends and provide recommendations to optimize business results. Responsibilities include working with business leaders to solve business problems by understanding, preparing, and analyzing data to predict emerging trends and provide recommendations to optimize business results. Skills include mathematical optimization, discrete-event simulation, rules programming and predictive analytics. Expected to have knowledge and/or experience in the following skills with focus on data science: Data Science, Apache Ambari, MapReduce, Spark, Labmda, Resilient Distributed Dataset, Java, Zookeeper, Knox, Big Data, IBM BigInsights, Apache Hadoop, SQL, RDBMS, Python, Big SQL, BigSheets+E5Big R, Text Analytics, GPFS, HDFS, Platform Symphony, Structured And Unstructured Data, Open Source, R, POSIX, Yarn, Sqoop, Flume, JSON, XML, NoSQL, HBase, Pig, Hive, Oozie, Apache Solr, JSqsh, Data Server Manager, AQL, Data Security, Data Governance, Networking, Neural Net. Qualifications A Senior labor category has over 10 years of experience and a MA/MS degree. A Senior labor category typically works on high-visibility or mission critical aspects of a given program and performs all functional duties independently. A Senior labor category may oversee the efforts of less senior staff and/or be responsible for the efforts of all staff assigned to a specific job. Position requires an active Security Clearance.
Benefits
- Flexible Work Schedules
- Professional Development
- Dental Insurance