Associate AIML Software Engineer

Basic Qualifications (Required Skills/Experience):

• Bachelor or Master of Science degree from an accredited course of study, in AI/ML Engineering, Computer Engineering, Software Engineering, Computer Science, Mathematics, Physics or other technical degree
• 0-5 years of experience in developing models and ensembles in the AI/ML space
• Experience with software architectures and software implementations
• Experience with AI/ML technologies, frameworks, models and ensembles
  • Experience with Pytorch, SciKit Learn, Tensorflow, and similar backend frameworks
  • Experience with Classification Supervised and Unsupervised models
  • Experience with Decision Making models, such as Reinforcement learning
  • Experience with Prediction models, including time series models, regressors
  • Experience with GenAI models, including LLMs
• Experience with Python
• Ability to quickly learn new next-generation algorithms and models, including Neurosymbolic reasoning models, and Liquid time-constant models (LTCs)
  

Preferred Qualifications (Desired Skills/Experience):

• Experience with ML Ops and Data Ops
• A strong, influential, innovative, and collaborative engineer that can work in a global team
• Strong background with optimizing and validating models
• Experience with V&V test benches
• Familiarity with Explainable AI (XAI) techniques
• Familiarity with ONNX (Open Neural Net Exchange)
• Proactively and quickly makes sense of complex issues; responds effectively to complex and ambiguous situations; communicates complicated information simply
• Gains others' trust by demonstrating openness and honesty, behaving consistently, and acting in accordance with moral, ethical, professional, and organizational guidelines