Software Engineer-Artificial Intelligence

Overview

Software Engineer-Artificial Intelligence

Location:

Cambridge, MA

Must be USC because they will need a Secret Clearance either now or after they start. This position will be physically located in Cambridge, MA. No relocation offered

The Client is seeking a broad range of experience levels including;
Experienced, Senior, and Subject Matter Expert (SME)/Technical Lead Engineer (TLE) Level Dev Sec Ops  Software Engineers who will provide engineering support for a new SW engineering initiative involving AI tools.

Designs, develops, documents and implements appropriate and best-fit Artificial Intelligence algorithms and models using standard methods and tools considering ethical implications and potential biases. Uses existing AI tools to analyze their effectiveness in code generation, and application to avionics code. Collects, cleans, preprocesses and analyzes large datasets to ensure data quality, reliability and identifies patterns, trends, and insights. Tests, documents, and debugs Artificial Intelligence models and software systems.

Trains, evaluates and optimizes performance and capabilities of Artificial Intelligence models. Conducts Safety Risk Management process for Artificial Intelligence models in accordance with organizational standards. Integrates and deploys efficient and scalable Artificial Intelligence models into production environments. Monitors, validates and improves in-production Artificial Intelligence models. Partners with cross functional teams and domain experts to understand business requirements, gather feedback, and iterate Artificial Intelligence models and algorithms.

Researches and implements current and emerging technologies, tools, frameworks, and regulations in the engineering Artificial Intelligence environment and contributes to Artificial Intelligence Design Practice(s).

• Lead and contribute to design, development, documentation and implementation of AI algorithms and models using standard methods and tools, considering ethical implications and potential biases.
• Collaborate with cross-functional teams and domain experts to understand business requirements, gather feedback, and iterate AI models and algorithms.
• Integrate AI models into production environments and monitor in-production performance.
• Leverage AI tools and frameworks (e.g., Tensor Flow, PyTorch) to accelerate software development and testing processes.
• Partner with hardware-in-the-loop (HIL) teams where applicable to integrate software with testing environments.
• Design, document and test AI-enabled software components and ensure data quality and reliability.

Basic Qualifications (Required Skill/Experience):

• Bachelor's degree and typically 3 or more years' experience in a software engineering classification or a Master's degree with 1 year of experience in a software engineering classification.
• Must be able to work onsite in Cambridge, MA.

Preferred Qualifications (Desired Skills/Experience):

• Education or experience in AI Algorithms and/or use of AI Tools.
• Ability to obtain a U.S. Security Clearance if sponsored.

Typical Education/

Experience:

• Senior (Level
  4)
• Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, mathematics, physics or chemistry (e.g. Bachelor) and typically 5 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD+1 years' related work experience, Master+3 years' related work experience).