Park Place Technologies

Associate Artificial Intelligence Engineer

Posted 10 Hours Ago

2 Locations

Remote or Hybrid

Junior

Hardware • Information Technology

The Role

Develop and deploy scalable AI applications and machine learning models using Python, Spark, Azure ML, and OpenAI. Build reliable code and data pipelines, participate across the SDLC, collaborate with technical and business teams, manage version control and CI/CD through Git and Azure DevOps, troubleshoot production issues, and document solutions.

Summary Generated by Built In

Associate Artificial Intelligence Engineer

The Associate Artificial Intelligence Engineer is responsible for developing, implementing, and managing AI solutions and machine learning models that provide innovative, data-driven solutions to complex business challenges. This role will involve collaboration within and across multiple departments to build cutting-edge solutions that enhance decision-making capabilities and optimize business performance.

Responsibilities:

Understand business requirements, design, develop, and deploy scalable AI applications that aligned with business objectives.
Develop high-performing, reusable, and reliable code following industry standards and best practices.
Participate in all phases of the Software Development Life Cycle (SDLC), including requirement gathering, design, implementation, testing, deployment, documentation, and support.
Build pipelines leveraging tools such as Python, Spark, Azure ML, and OpenAI.
Collaborate with data analysts, data engineers, software engineers, and business analysts to translate business requirements into technical solutions.
Employ Azure DevOps and Git to ensure proper version control and adherence to CI/CD best practices.
Troubleshoot, analyze, and resolve AI performance issues and production problems.
Maintain up-to-date knowledge of advancements in AI, machine learning, and data engineering.
Actively participate in team meetings, contributing ideas and insights to drive continuous improvement.
Demonstrate strong problem-solving skills, excellent work ethic, and proactive attitude.
Create necessary documentation relating to work produced.

Basic Qualifications:

Bachelor’s degree or higher in Computer Science, AI, Data Science, or a related field, or equivalent experience.
At least 1 year of hands-on experience developing and deploying AI/machine learning solutions.
Development experience with Python programming (Spark, pandas, etc.) and SQL.
Solid understanding of AI methodologies, including supervised/unsupervised learning, regression analysis, and neural networks
Practical knowledge of cloud platforms, particularly Azure (Azure Synapse, Azure ML, Azure Data Factory, Azure Functions).
Experience with Visual Studio, Git, and Azure DevOps.
Familiarity with software development fundamentals such as SOLID principles, ObjectOriented design, DRY, and Domain Driven Design.
Strong communication skills, both written and verbal.

Preferred Qualifications:

Knowledge of Vibe Coding and familiarity with cutting-edge industry trends.
Exposure to Agile methodologies and Test Driven Development (TDD).

Travel:

Less than 5%

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
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Skills Required

Bachelor's degree or higher in Computer Science, Artificial Intelligence, Data Science, or a related field, or equivalent experience
At least 1 year of hands-on experience developing and deploying AI or machine learning solutions
Development experience with Python, Spark, pandas, and SQL
Understanding of supervised and unsupervised learning, regression analysis, and neural networks
Practical knowledge of Azure, including Azure Synapse, Azure Machine Learning, Azure Data Factory, and Azure Functions
Experience with Visual Studio, Git, and Azure DevOps
Familiarity with SOLID principles, object-oriented design, DRY, and domain-driven design
Strong written and verbal communication skills
Knowledge of Vibe Coding and current industry trends
Exposure to Agile methodologies and Test Driven Development

Park Place Technologies Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Park Place Technologies and has not been reviewed or approved by Park Place Technologies.

Healthcare Strength — Healthcare coverage is presented as at‑market or better, with comprehensive medical, dental, and vision offerings for employees and families. Wellness resources and employer‑verified benefit listings reinforce strong core coverage.
Retirement Support — A 401(k) program is emphasized, with indications of employer matching that strengthen retirement readiness. Public benefits materials point to a solid retirement foundation.
Wellbeing & Lifestyle Benefits — Wellbeing programs span a global wellness portal, biometric screenings, yoga, smoking‑cessation support, and on‑site amenities at the Cleveland HQ. Onsite childcare and wellness rooms further signal investment in everyday wellbeing where available.