Machine Learning Engineer/ Data Scientist

Location: San Diego, California, United States
Type: Full-time
Posted: 09.JUN.2021


Overview: is seeking a Machine Learning Engineer/ Data Scientist to join our team in San Diego. The engineer will work with the t...


Overview: is seeking a Machine Learning Engineer/ Data Scientist to join our team in San Diego. The engineer will work with the team to create innovative and scalable solutions for modern day machine learning problems revolving data analysis. This position will support BigBear, LLC, a company.

What you will do:
Research and apply machine learning algorithm to help develop various custom machine learning models.Evaluate machine learning model, detect issues, and provide improvements.Integrate machine learning models with current tools and applications using various programming languages..Develop and assist with model scoring, metrics, and visualization.

What you need to have:
3-4+ years of significant research and/or professional/full-time experience using machine learning techniques (i.e. classification, detection, and regression)1-2+ years of professional experience using Python, Java, or C++Experience using deep learning architectures and ML concepts such as SVMs, GMMs, Decision Trees, and Boosting as well as more recent deep learning fundamentalsExperience with Predictive analytics, Data Ranking, Scoring, and Classification accuracy metricsExperience with Natural Language Processing(NLP) and Natural Language Understanding(NLU)Experience with Data Science tools and frameworks (i.e. TensorFlow, Scikit, NLTK, Numpy, Pandas, Keras, R, Spark)Experience with NoSQL database technologiesBachelor or Masters degree in Computer Science, Computer Engineering, Mathematics (or equivalent)Clearance: Able to obtain and maintain a Top Secret Clearance

What we'd like you to have:
Experience with React Experience with ElasticsearchExperience with Docker and KubernetesExperience withAmazon Web Services (Lambda, EC2, S3, CloudWatch)Experience with Tensorflow, Keras, Theano, or CHNTKExperience with GPU acceleration (i.e. CUDA and cuDNN)Strong mathematics fundamentals: linear algebra, calculus, and statisticsFamiliarity with techniques such as Logistic Regression, KNN algorithms, Dimensionality reduction algorithms, Random Forest, Naive Bayes, Clustering, and Reinforcement Learning

About is a new leader in decision dominance serving the national defense and intelligence communities. The Company delivers high-end capabilities across the data and digital spectrum to deliver information superiority and decision support. provides a comprehensive suite of solutions including artificial intelligence and machine learning, data science, advanced analytics, offensive and defensive cyber, data management, cloud solutions, digital engineering, and systems integration.BigBear.aiscustomers, including the U.S. Intelligence Community, Department of Defense, and U.S. Federal Government, rely on its advanced technology solutions to analyze information, manage risk, and solve complex problems, leading to better decision making. Headquartered in Columbia, Maryland, has additional locations in Virginia, Massachusetts, and is an Equal Opportunity/Veterans/Disabled Employer.

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