Artificial Intelligence Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Full Stack AI Developer on a long-term contract, paying an open hourly rate. Requires US citizenship, expertise in AI/machine learning, proficiency in Python and JavaScript, and experience in GRC-related projects. Remote work location.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
June 6, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Remote
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πŸ“„ - Contract type
W2 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#ML (Machine Learning) #SQL (Structured Query Language) #AWS (Amazon Web Services) #Libraries #React #Ruby on Rails #Cloud #Database Management #Programming #MS SQL (Microsoft SQL Server) #MySQL #Monitoring #Scala #Databricks #HTML (Hypertext Markup Language) #TensorFlow #Computer Science #Python #Automation #MongoDB #PyTorch #Django #JavaScript #Docker #Azure #Process Automation #Visualization #NoSQL #Java #Keras #NLP (Natural Language Processing) #Angular #Snowflake #Compliance #Kubernetes #DevOps #AI (Artificial Intelligence) #Ruby #Flask #PostgreSQL
Role description
Client: Raytheon Technologies Position: Full Stack AI Developer Location: Remote Must be a US Citizen Length: Long-term contract position Hourly rate: Open (w2 non-benefited or c2c) Job Summary: We are seeking a talented and experienced Full Stack AI Developer to join our Governance, Risk, and Compliance (GRC) team. The successful candidate will be responsible for developing and implementing AI-driven solutions to automate GRC workflows and services. This role requires a deep understanding of both front-end and back-end development, as well as expertise in AI and machine learning technologies. Key Responsibilities: β€’ Partner with the RTX AI team to Design, develop, and deploy AI-based applications to automate GRC workflows. β€’ Build and maintain scalable front-end interfaces and back-end services. β€’ Implement machine learning models for predictive analytics, risk assessment, and compliance monitoring. β€’ Automate data collection, processing, and reporting tasks to enhance GRC efficiency. β€’ Develop custom dashboards and visualization tools for real-time monitoring of GRC metrics. β€’ Ensure seamless integration of GRC tools with other enterprise systems. β€’ Collaborate with the GRC team to understand requirements and deliver AI solutions that address their needs. β€’ Optimize existing workflows and processes to improve compliance and risk management. Qualifications: β€’ Bachelor’s or master’s degree in computer science, Engineering, or a related field. β€’ Proven experience as a Full Stack Developer with a focus on AI and machine learning. β€’ Proficiency in programming languages such as Python, JavaScript, and Java. β€’ Strong knowledge of front-end technologies (HTML, CSS, JavaScript, React, Angular, or Vue.js). β€’ Experience with back-end frameworks (Node.js, Django, Flask, or Ruby on Rails). β€’ Expertise in machine learning frameworks and libraries (TensorFlow, PyTorch, Keras, Scikit-Learn). β€’ Familiarity with database management systems (SQL, NoSQL, MySQL, PostgreSQL, MongoDB). β€’ Experience with cloud platforms (AWS, Google Cloud, Azure) and DevOps practices (CI/CD, Docker, Kubernetes). β€’ Familiarity with platforms such as Snowflake and Databricks β€’ Strong problem-solving skills and attention to detail. β€’ Excellent communication and collaboration skills. Preferred Qualifications: β€’ Experience in GRC-related projects or industries. β€’ Knowledge of natural language processing (NLP) techniques. β€’ Experience with Robotic Process Automation (RPA) tools. β€’ Familiarity with regulatory compliance standards and frameworks. If interested in learning more about this position, please submit your resume and I will call back with more information.