AI Engineer with Security Clearance

3 weeks ago

Washington, United States MAGNUS Management Group Full time
As an AI Engineer, you will be responsible for developing and implementing artificial intelligence models and systems that are capable of learning, reasoning, and solving complex problems. You will work closely with data scientists, machine learning engineers, software developers, and other stakeholders to integrate AI technologies into our products and services to drive innovation and efficiency.
Responsibilities: Design and implement AI models and algorithms capable of performing specific tasks or solving problems. Collaborate with data scientists and analysts to understand project requirements, gather and analyze data, and develop effective AI solutions. Implement machine learning and deep learning models, fine-tune their parameters, and optimize their performance. Develop scalable and efficient software systems for training and deploying AI models. Stay updated with the latest AI trends, technologies, and best practices to ensure our AI capabilities remain cutting-edge. Collaborate with software development teams to integrate AI models into applications and services. Conduct experiments and tests to validate the effectiveness of AI models and make iterative improvements. Ensure the ethical use of AI technologies and compliance with data privacy regulations. Document AI development processes, algorithms, and technologies used in projects. Provide technical guidance and mentorship to junior AI engineers and team members. Skills and Qualifications: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related fields. Strong programming skills in languages such as Python, Java, or C++. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, Keras). Knowledge of algorithms, data structures, and computer science fundamentals. Understanding of data engineering and experience with databases and data processing tools. Ability to work with big data technologies and cloud platforms (AWS, Azure, Google Cloud). Familiarity with natural language processing, computer vision, and neural networks. Excellent problem-solving, analytical, and mathematical skills. Strong communication and collaboration abilities.

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