AI Engineer II

avidxchangeinc; Deutschland; Hybrid; EUR 70.000 - 110.000; Vollzeit

Benefits dieser Stelle

Hybrid workplace

Free on-site parking

Gym access

Yoga studio

Basketball court

18 days PTO

Volunteer time off 16 hours

Health plan options

Dental insurance

Life insurance

Short/Long-term disability

Employee Assistance Program

On-site health clinic

Parental leave

Childcare support

Tuition reimbursement

401(k) with employer matching

Zusammenfassung

avidxchangeinc is seeking an AI Engineer II to design, implement and maintain machine learning and deep learning models within a multi-tier SaaS platform. You will blend data science with traditional software engineering to enhance bill payment and receivables automation.

You will work on model development, experimentation, and deployment while collaborating with cross-functional teams and mentoring junior engineers. A hybrid work setup and strong benefits are offered.

Qualifikationen

• 5+ years of software development experience or 3+ years with a Master's in multi-tiered systems
• Strong working knowledge of C#, R, and Python
• Experience with statistical learning methods and core AI concepts
• Solid practice of unit testing, OOP, design patterns, and SOLID principles
• Proficiency with Git in CI environments and Agile methods (Scrum/Kanban)
• Familiarity with secure coding practices and OWASP Top Ten

Aufgaben

• Design and build non-traditional data models for predictive modeling and complex representation challenges
• Apply statistical and mathematical techniques for exploratory data analysis and validation
• Use ML libraries and frameworks to accelerate development
• Extend architectures with AI-driven components and manage model lifecycle quality
• Debug, optimize, and refactor code for performance, security, and scalability
• Collaborate with product owners, QA engineers, DBAs, architects, and scrum teams; mentor junior engineers

Kenntnisse

C#

R

Python

Ausbildung

Bachelor's degree in Computer Science/Computer Engineering or related field

Master's degree with 3+ years experience on multi-tiered systems

Tools

Git

Hadoop

Spark

Databricks

Deedle

F# Data Toolbox

XPlot

Jobbeschreibung

Role overview

This AI Engineer II position sits within a software engineering team dedicated to embedding artificial intelligence into a SaaS product. The role focuses on designing, implementing, and maintaining machine learning and deep learning models that solve real business problems inside a multi-tiered software platform. It combines hands-on data science work with traditional software engineering practices, contributing to the intelligent capabilities of a bill payment and receivables automation suite.

Responsibilities

• Design and build non-traditional data models for predictive modeling and complex representation or interpretation challenges.
• Apply statistical and mathematical techniques to perform exploratory data analysis and validate proposed solution approaches.
• Use existing machine learning libraries and frameworks to accelerate development, while staying current with advances in the AI field.
• Extend traditional application architectures with intelligent systems design, owning model lifecycle quality and guiding improvements.
• Debug, optimize, and refactor code to ensure performance, security, and scalability, following documented standards and best practices.
• Collaborate with product owners, QA automation engineers, DBAs, architects, and scrum teammates to translate business needs into shipped features, and mentor junior engineers.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, or a related field with 5+ years of software development experience, or a Master's degree with 3+ years of experience on multi-tiered systems.
• Strong working knowledge of C#, R, and Python.
• Demonstrated experience with statistical learning methods and core AI concepts and system design.
• Solid grasp of sound coding practices including unit testing, object-oriented programming, design patterns, and SOLID principles.
• Proficiency with version control systems such as Git in continuous integration environments, and hands-on experience with Agile processes like Scrum or Kanban.
• Familiarity with secure coding practices, including awareness of the OWASP Top Ten.

Nice to have

• Exposure to Hadoop, Spark, or Databricks, as well as .NET data tooling like Deedle, F# Data Toolbox, or XPlot.
• Experience extending traditional application models through AI sub-disciplines such as computer vision, natural language understanding, autonomous or robotic systems, machine learning, deep learning, or reinforcement learning.
• Background in systems engineering, feedback control systems, or model-based software engineering.

Benefits and work setup

• Hybrid workplace flexibility with free on-site parking and amenities such as a gym, yoga studio, and basketball court.
• 18 days of PTO, 16 hours of paid volunteer time off annually, and 11 holidays.
• Multiple health plan options including a high-deductible plan with $0 monthly premium for teammate-only coverage, plus 100% employer-paid dental, life, and both short- and long-term disability insurance.
• Employee Assistance Program, on-site health clinic, parental leave, childcare support, and a discount program for personal purchases.
• 401(k) with employer matching, and tuition reimbursement up to the federal annual maximum.