Clearance Jobs
Artificial Intelligence (AI) Engineer
Clearance Jobs, Chantilly, Virginia, United States, 20153
Artificial Intelligence Engineer
Velocity-X is seeking a highly motivated and self-directed professional to fill the role of Artificial Intelligence (AI) Engineer to support our team in Northern Virginia. Responsibilities: Design, develop, and implement scalable AI/ML computing infrastructures and application stacks. Build and deploy machine learning models and AI solutions from scratch. Transform machine learning models into APIs for integration with other applications. Collaborate with data scientists, software engineers, and business stakeholders to understand requirements and deliver AI solutions. Conduct statistical analysis and interpret results to guide and optimize decision-making. Manage data ingestion, preprocessing, and feature engineering to ensure data quality for model training. Optimize AI algorithms for performance, scalability, and efficiency. Stay up-to-date with the latest AI and machine learning advancements, research, and tools. Troubleshoot and resolve AI-related issues, ensuring the reliability and accuracy of AI applications. Document architecture roadmaps, reference architectures, and standard operating procedures for AI solutions. Potentially lead cross-functional teams in identifying and prioritizing areas where AI can provide business benefits. Advise stakeholders on AI strategy, technology, and policy issues. Automate AI infrastructures for the data science team. Evaluate and implement best practices in AI/ML, data mining, and analytics. Qualifications: Master's in Computer Vision, Computer Science, Electrical Engineering, Mathematics or related field. 10+ years experience with 3+ years of demonstrated and related industry experience. Strong programming skills in languages such as Python, Java, and/or R. Experience with machine learning frameworks such as TensorFlow, Keras, and/or PyTorch. Solid understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning), deep learning, and neural networks. Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with data management and big data technologies (e.g., Spark, Hadoop, SQL, NoSQL databases). Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services. Strong analytical and problem-solving skills. Excellent communication and collaboration skills to articulate technical solutions to both technical and non-technical audiences. Understanding of basic algorithms, object-oriented and functional design principles. Experience with version control systems like Git. Position Clearance Requirement: TS/SCI with Full-Scope Polygraph Equal Opportunity Employer: Velocity-X is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Velocity-X is seeking a highly motivated and self-directed professional to fill the role of Artificial Intelligence (AI) Engineer to support our team in Northern Virginia. Responsibilities: Design, develop, and implement scalable AI/ML computing infrastructures and application stacks. Build and deploy machine learning models and AI solutions from scratch. Transform machine learning models into APIs for integration with other applications. Collaborate with data scientists, software engineers, and business stakeholders to understand requirements and deliver AI solutions. Conduct statistical analysis and interpret results to guide and optimize decision-making. Manage data ingestion, preprocessing, and feature engineering to ensure data quality for model training. Optimize AI algorithms for performance, scalability, and efficiency. Stay up-to-date with the latest AI and machine learning advancements, research, and tools. Troubleshoot and resolve AI-related issues, ensuring the reliability and accuracy of AI applications. Document architecture roadmaps, reference architectures, and standard operating procedures for AI solutions. Potentially lead cross-functional teams in identifying and prioritizing areas where AI can provide business benefits. Advise stakeholders on AI strategy, technology, and policy issues. Automate AI infrastructures for the data science team. Evaluate and implement best practices in AI/ML, data mining, and analytics. Qualifications: Master's in Computer Vision, Computer Science, Electrical Engineering, Mathematics or related field. 10+ years experience with 3+ years of demonstrated and related industry experience. Strong programming skills in languages such as Python, Java, and/or R. Experience with machine learning frameworks such as TensorFlow, Keras, and/or PyTorch. Solid understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning), deep learning, and neural networks. Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with data management and big data technologies (e.g., Spark, Hadoop, SQL, NoSQL databases). Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services. Strong analytical and problem-solving skills. Excellent communication and collaboration skills to articulate technical solutions to both technical and non-technical audiences. Understanding of basic algorithms, object-oriented and functional design principles. Experience with version control systems like Git. Position Clearance Requirement: TS/SCI with Full-Scope Polygraph Equal Opportunity Employer: Velocity-X is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.