Job Overview:
Pay Range $33.48hr - $55.81hr
Requirement/Must Have:
- Bachelor's degree in Data Science, Computer Science, Software Engineering, or a related field.
- 1+ years of experience with Python.
- 1+ years of experience with JavaScript or TypeScript.
- Understanding of SQL and relational database concepts.
- Understanding of REST APIs.
- Familiarity with object-oriented programming and basic software design principles.
- Exposure to machine learning concepts.
- Strong desire to learn enterprise AI platforms, cloud environments, and modern development practices.
- Collaborative and communicative.
Responsibilities:
- Learn and contribute to development on the C3.AI platform, including working with the C3 Type System, data modeling, and building application components.
- Participate in the development, testing, and deployment of AI and ML models across C3.AI and other platforms used by the team.
- Write Python and JavaScript/TypeScript code to support data pipelines, application logic, REST APIs, and AI service integrations.
- Assist in building and maintaining data pipelines that ingest, transform, and deliver data from enterprise and industrial sources.
- Support the development of AI-powered features and tools that surface insights to business users and operational teams.
- Collaborate with senior engineers, data scientists, and business stakeholders to understand requirements and translate them into working solutions.
- Contribute to cloud-based development work across platforms such as AWS, Azure, or GCP as project needs require.
- Participate in code reviews, testing, and documentation to uphold quality standards and support team knowledge sharing.
- Continuously build your skills through hands-on project work, mentorship, and engagement with both C3.AI and broader AI/ML tooling.
Nice to Have:
- Hands-on exposure to C3.AI or similar enterprise AI/ML platforms.
- Familiarity with ML libraries or frameworks such as scikit-learn, TensorFlow, or PyTorch.
- Experience with or academic knowledge of cloud platforms such as AWS, Azure, or GCP.
- Exposure to data engineering concepts.
- Experience with version control using Git and basic familiarity with CI/CD concepts.
- Familiarity with Databricks, Spark, or similar big data processing tools.
- Coursework or project work involving time-series data, IoT data, or industrial datasets.
- Interest in manufacturing, industrial operations, or IoT domains.
- Prior internship, co-op, or project experience in a software development or data-focused role.
Benefits
Our Benefits Include:
- Medical, Dental, and Vision Insurance
- 401(k) Retirement Plan
- Health Savings Account (HSA)
- Disability Insurance (Short-Term and Long-Term)
- Life and AD&D Insurance
- Paid Sick Leave (where required by applicable state or local law)
- Supplemental Insurance Plans
- Identity Theft Protection
- Pet Insurance
- Employee Wellness Programs
- Employee Assistance Program (EAP)
- Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.
About Cynet Systems
Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.