We're looking for a Data Scientist Intern to join our Leidos team!The position requires general machine learning and artificial intelligence knowledge related to AI-ready data, data governance, creating data repositories, exploratory data analysis, and applying various data schemas based on the analytical use case. The candidate will contribute to multiple machine learning (ML) and artificial intelligence (AI) projects in the Leidos AI/ML Accelerator. Candidates must be familiar with handling numerous data types (text, image, video, audio, lidar, etc..). The candidates must understand how to construct and format data for various AI algorithms. Ethical AI is part of all Leidos AI/ML projects. Consequently, we want candidates to know the concepts of Ethical AI and how to apply them to data construction.Along with those skills, the candidate must have demonstrated the ability to work independently and in technical teams to implement and customize algorithms to fuse multiple data modalities. In this position at Leidos Arlington, VA. the candidate should have at least intermediate Python coder ability and hands-on experience using ML libraries like SciKit Learn, DKube, KubeFlow, Feast, Azure, TensorFlow, Keras, etc. The candidates' knowledge should also include experience containerizing AI models and using the containers with AWS, Microsoft Azure, or Google Cloud.Primary ResponsibilitiesSynthetic Data GenerationFederated Learning skillsAutomated Data LabelingData Marketplace conceptsAI-Driven Data PreparationCreate AI/ML prototypes for use cases requiring identifying entities/objects, determining object association, object disambiguation, anomaly detection, state estimations, etc.Develop and maintain data models (both physical and logical)accuracy, integrity, and information assurance and security.Conduct anomaly detection using various AI/ML techniquesBasic QualificationsMust be pursuing a degree in a related field of study at an accredited college/universityMust be able to obtain a Top-Secret security clearance with a polygraphUS citizenship requiredKnowledge of Deep Learning Frameworks such as Keras, Tensorflow, PyTorch, Mxnet, etc. - Ability to apply these frameworks to real problems in the 'time --series' domainPractical hands-on experience and the ability to explain statistical analysis, reinforcement learning, transfer learning, natural language processing, and computer visionPreferred QualificationsVisualizations/Web Development Skills (e.g., Tableau, D3, etc.).Hands-on experience with prototype developmentHands-on experience with automating data cleansing, formatting, staging, and transforming data humanHands-on experience applying data analyticsHands-on experience with prompt engineeringHands-on experience with reinforcement learningHands-on experience with LLMs and Generative AIHands-on experience with intelligent systems and machine learningExperience with interpretability of deep learning modelsBig Data Skills (Azure, Hadoop, Spark, recent deep learning platforms)Experience with text mining tools and techniques, including in areas of summarization, search (e.g., ELK Stack), entity extraction, a training set generation (e.g., Snorkel), and anomaly detectionHands-on experience with DKubeHands-on experience with KubeFlowHands-on experience with FeastOriginal Posting Date:2024-10-12While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.Pay Range:Pay Range $53,950.00 - $97,525.00The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
