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CGI · 7 hours ago

AI Engineer

Arlington, VA

Full-time

Onsite

Mid Level

$80K/yr - $194K/yr

4+ years exp

CGI is a leading IT and business consulting services firm that offers innovative solutions with a focus on emerging technologies. As an AI Engineer, you will design and implement AI models for an enterprise financial data platform while collaborating with cross-functional teams to meet client goals.

AnalyticsApplication Performance ManagementBusiness IntelligenceConsultingCyber SecurityFinanceInformation TechnologyTechnical Support

No H1B

Security Clearance Required

Hiring Manager

Katie Kennedy

Responsibilities

Demonstrate in-depth technical capabilities with the ability to support multiple work streams and drive assimilation of new techniques and solutions

Designing, developing, and implementing AI models and algorithms to address business challenges and improve processes

Collaborating with cross-functional teams of data scientists, software developers, and business stakeholders to understand requirements and translate them into AI solutions

Optimizing and fine-tuning existing AI models to enhance their accuracy, efficiency, and performance

Deploying AI solutions into production environments and ensuring their integration with existing systems

Monitoring and evaluating the performance of AI systems, adjusting as necessary to improve outcomes

Providing technical expertise and guidance on AI-related projects and initiatives

Qualification

AI development experienceMachine learning algorithmsProgramming in PythonAI frameworks knowledgeCloud platforms knowledgeBig data technologiesTechnical troubleshootingProblem-solving skillsTeam collaborationProject management

Required

Interim Secret clearance is required to begin working onsite with our client, and a Secret clearance must be maintained throughout the project duration

Bachelor's degree in Computer Science, Mathematics or STEM related discipline

4+ years of experience as an AI Specialist, Data Scientist, Machine Learning Engineer, or similar role in AI development

Strong understanding of artificial intelligence, large language models, machine learning algorithms, neural networks, and deep learning techniques

Proficiency in programming languages such as Python, R, or Java

Strong knowledge of AI frameworks and libraries (TensorFlow, PyTorch, Peras)

Knowledge of cloud platforms for AI deployment (AWS, Azure, Google Cloud)

Familiarity with big data technologies and tools (e.g., Hadoop, Spark)

Excellent problem-solving and analytical skills, with the ability to work with complex datasets

Strong technical and troubleshooting techniques