Ai Engineer

Summary

Join Fleetio's expanding Engineering Team as an AI Engineer to build AI-enabled solutions and contribute to our AI strategy. You will collaborate with engineering and product leaders to shape our AI roadmap. Fleetio is a leading software platform for fleet management, experiencing significant growth and recent Series C funding. This is a remote opportunity open to candidates in the US, Canada, or Mexico. The ideal candidate is a problem-solver who enjoys exploring AI solutions to enhance user experience and thrives in a collaborative environment. You will be a subject matter expert, advising leadership and developing innovative AI solutions.

Requirements

• 2+ years of experience as an AI Engineer building and deploying successful AI-enabled solutions
• Strong programming skills in languages such as Python
• Expertise in developing and deploying AI and ML models
• Ability to test and validate models
• Familiarity with AI and ML frameworks
• Advanced knowledge in machine learning and associated algorithms (Linear regression, Logistic regression, Decision tree, Bayesian, etc.)
• Excellent written and verbal communication skills
• Bachelor’s or Master’s degree in computer science, mathematics, statistics, data science, or related fields

Responsibilities

• Advise executives and business leaders on technology, strategy, and policy issues associated with AI
• Develop and train ML models and optimize AI algorithms
• Develop prototypes and validate solutions through fast experimentation
• Partner with product and engineering partners to ideate, design, and implement solutions
• Analyze complex data sets to identify patterns and anomalies to aid in developing relevant and accurate solutions
• Help build data pipelines and cleanse data as necessary to train ML models
• Document AI processes, models, and other relevant areas as necessary
• Make hiring recommendations as necessary to grow and maintain relevant AI skills

Preferred Qualifications

• Experience with Natural Language Processing and Computer Vision
• Experience with cloud computing platforms like AWS, Azure and GCP
• Experience with Ruby, Ruby-on-Rails, React

Benefits

• Multiple health/dental coverage options
• Vision insurance
• Incentive stock options
• 401(k) match of 4%
• PTO - 4 weeks
• 12 company holidays + 2 floating holidays
• Parental leave- birthing parent (16 weeks paid) non-birthing (4 weeks)
• FSA & HSA options
• Short and long term disability (short term 100% paid)
• Community service funds
• Professional development funds
• Wellbeing fund - $150 quarterly
• Business expense stipend- $125 quarterly
• Mac laptop + new hire equipment stipend
• Monthly catered lunches
• Fully stocked kitchen with tons of drinks & snacks
• Remote working friendly since 2012 #LI-REMOTE