CGI is looking for an AI Engineer to build an AI application for an enterprise financial data platform, supporting the client's mission and goals.
Requirements
- 2+ 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.
Responsibilities
- 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.
Other
- 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.
- Master’s degree in Artificial Intelligence, Machine Learning, or Data Science.
- Relevant certification in AI or machine learning (AWS Certified Machine Learning, Google AI Certification).
- Ability and willingness to manage and lead AI projects from concept to deployment.
