Junior AI Developer - Remote / Telecommute
Remote / Online - Candidates ideally in
Pittsburgh, Allegheny County, Pennsylvania, 15201, USA
Listed on 2026-08-15
Pittsburgh, Allegheny County, Pennsylvania, 15201, USA
Listing for:
Cynet Systems
Remote/Work from Home
position Listed on 2026-08-15
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Engineering
Job Description & How to Apply Below
Job Title
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 Type Script.
- 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.
- 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/Type Script 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.
- Hands-on exposure to C3.AI or similar enterprise AI/ML platforms.
- Familiarity with ML libraries or frameworks such as scikit-learn, Tensor Flow, 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.
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