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Machine Learning Engineer, Senior Active TS/SCI with Poly REQUI

Clearance Jobs, Washington, District Of Columbia, United States, 20001

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Machine Learning Engineer

CGI Federal has an exciting opportunity for a Machine Learning Engineer within our Intel sector advancing the national security mission through cutting edge technology. You must have a passion for keeping pace with rapidly evolving technology advancements and leveraging your knowledge on a highly collaborative team to deliver state-of-the-art capabilities. You will be responsible for designing, developing, and deploying machine learning (ML) models and systems while bridging the gap between data science prototypes and production-ready applications, often working closely with data scientists and software engineers. In essence, your responsibilities will include researching, building, and maintaining AI systems that can learn and make predictions, automating tasks and improving processes. CGI Federal is growing its high-performance team whose members share a passion for building high-quality, scalable, advanced IT solutions in a collaborative, fast-paced, outcome-driven mission. This position is located in our Washington DC office. Your future duties and responsibilities: Model Development: Designing and implementing ML algorithms and models, including deep learning models. Data Handling: Preprocessing, analyzing, and preparing large datasets for model training and evaluation. System Integration: Collaborating with software engineers to integrate ML models into production systems. Performance Optimization: Continuously improving and optimizing ML models for accuracy, efficiency, and scalability. Monitoring and Maintenance: Monitoring model performance in production, troubleshooting issues, and ensuring model reliability. Staying Updated: Keeping abreast of the latest advancements in ML, AI, and related technologies. Collaboration: Working with data scientists, software engineers, and other stakeholders to deliver effective ML solutions. Required qualifications to be successful in this role: Experience: Shall possess a minimum 8 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years. Education: In addition, shall possess a Masters degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education or have Bachelors degree related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education and an additional 2 years of related senior experience, for a total of 10 years, as a substitute to the Masters degree. Security Clearance: TS/SCI with CI Poly Required. Demonstrated experience with application of machine learning and artificial intelligence. Highly Desired: Demonstrated experience with application of machine learning and artificial intelligence in the Department of Defense and/or the Intelligence Community, excellent oral and written communication skills. Leadership: Functions as a technical expert across multiple project assignments. May supervise others. Programming Languages: Strong proficiency in Python, R, or other relevant languages. ML Frameworks: Experience with frameworks like TensorFlow, PyTorch, or scikit-learn. Data Science Fundamentals: Solid understanding of statistical analysis, data modeling, and machine learning algorithms. Problem-Solving: Excellent analytical and problem-solving skills to address complex challenges. Communication: Effective communication skills to convey technical information to both technical and non-technical audiences. Collaboration: Ability to work effectively in a team environment. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $115,800.00 - $222,960.00. CGI Federal's benefits are offered to eligible professionals on their first day of employment to include: Competitive compensation, comprehensive insurance options, matching contributions through the 401(k) plan and the share purchase plan, paid time off for vacation, holidays, and sick time, paid parental leave, learning opportunities and tuition assistance, wellness and well-being programs. Due to the nature of this government contract, US Citizenship is required.