SWE Co-Op Student

Career Opportunity ================== Role Title ---------- Software Engineer Co-op Student (AI) (4-month contract) Purpose of role --------------- The Software Engineer Co-op Student will join the AI & Enterprise Applications team and contribute to the design, development, and deployment of innovative software solutions and AI-powered applications. Working alongside experienced architects, engineers, and data professionals, you will gain hands-on experience building enterprise applications, developing AI/ML solutions, and evaluating emerging technologies. This role offers an excellent opportunity to learn, innovate, and make meaningful contributions to real-world business initiatives in a collaborative and supportive environment. Job Description --------------- **Key Responsibilities** * Assist in the design, development, testing, and deployment of software applications and AI solutions. * Develop, train, and evaluate machine learning and generative AI models. * Perform data preparation, analysis, and feature engineering to support model development. * Collaborate with architects and engineers on proof-of-concepts, prototypes, and innovation initiatives. * Write clean, maintainable, and well-documented code following development best practices. * Contribute to application design and architectural discussions. * Maintain code repositories and participate in version control processes. * Research emerging technologies and recommend opportunities for adoption. * Participate in Agile ceremonies, team meetings, and technical discussions. * Support the continuous improvement of development processes and tools. **Key Qualifications** * Currently enrolled in a Bachelor's degree program in Computer Science, Software Engineering, Data Science, or a related field. * Strong programming skills in Python, C#, .NET, Java, or similar languages. * Knowledge of machine learning concepts and frameworks such as TensorFlow, PyTorch, or scikit-learn. * Familiarity with cloud platforms, preferably Microsoft Azure. * Experience or familiarity with Azure DevOps, Git, and modern software development practices. * Understanding of data analysis, data preparation, model evaluation, and software testing principles. * Strong analytical and problem-solving skills. * Ability to work independently while collaborating effectively within a team environment. * Excellent communication skills, curiosity, and a passion for learning new technologies. * Interest in Artificial Intelligence, Generative AI, and enterprise technology solutions is considered an asset. **Preferred Qualifications** * Experience with Generative AI technologies, LLMs, prompt engineering, or AI agents. * Exposure to cloud-native development, APIs, and automation tools. * Personal, academic, or open-source projects demonstrating software development or AI experience. #LI-Hybrid **Hourly Range:** $21.00 - $30.00 The actual base salary for this position will depend on several factors, including job-related skills, experience, and education. In addition to base pay, eligible employees may participate in a discretionary variable incentive plan, results are subject to both individual and company performance. **Please note that this posting is intended to fill an existing vacancy; however, there may be instances where more than one vacancy is available for the same role.** **Equal Opportunity Employment and Inclusion –** _at Foresters Financial, we are committed to sustaining an equal opportunity environment for all job applicants. We embrace Inclusion, Diversity and Equity (IDE) as a core strategic objective for building strong, innovative teams in which all our employees can show up wholly and authentically as themselves._ _Foresters Financial strives to provide an accessible candidate experience for prospective employees with different abilities. If you anticipate needing any type of accommodations during the recruitment process, please email_ [[email protected]_](mailto:[email protected]) _in advance of your appointment._ _Thank you for choosing Foresters. Only those candidates who will be selected for further consideration will be contacted by our Talent Acquisition Team._