Machine Learning

This role will be in-office at our Highland Hts., OH Headquarters, 4 days per week.

Who We Are:

Park Place Technologies is a global data center and networking optimization firm. Powered by the world's largest on-the-ground engineering team, a robust group of advanced engineers and our fully staffed, 24x7x365 Enterprise Operations Center, we offer a robust portfolio of IT solutions to optimize networking and data center Uptime and performance. As the industry leader, our 2500 Park Place Associates provide support to 21,000+ customers in more than 154+ countries. We are proud to service 90% of Fortune 500 companies and 40% of Forbes 100 clients.

Our company's strength and success are a credit to our Associates, and Park Place Life is how we communicate and deliver our culture internally. We have been awarded as a NorthCoast 99 Best Workplace winner for 10 consecutive years in recognition of our employee commitment. Park Place Life is about collaboration, responsiveness, diversity, and integrity, and represents everything that makes our company great and our culture unique.

Top Rated Benefits We Offer:
•  We cover 100% of your Healthcare benefits.
•  Flexible Vacation to promote work-life balance.
•  12 weeks of Paid Maternity Leave
•  Profit Sharing
•  401K matching contributions and earnings are always 100% vested.
•  Plus, much more Position Overview:

The AI 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 across multiple departments to build cutting-edge solutions that enhance decision-making capabilities and optimize business performance.

Responsibilities:
•  Design, develop, and deploy scalable AI models and algorithms 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 machine learning pipelines leveraging tools such as Python, Spark, Azure ML, and OpenAI.
•  Collaborate with data analysts, data engineers, software engineers, and business analysts to translate complex 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 model 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.
•   Basic Qualifications:
•   Bachelor's degree or higher in Computer Science, AI, Data Science, or a related field, or equivalent experience.
•   3+ years of hands-on experience developing and deploying AI/machine learning solutions.
•   Proficiency in 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, Object-Oriented 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.
•  Microsoft Cloud Certification.
•  Experience with technologies such as Azure Databricks, Cosmos DB, CQRS Pattern, Dependency Injection, Entity Framework & LINQ, Microservices, OData, and asynchronous programming.
•  Exposure to Agile methodologies and Test-Driven Development (TDD). Travel:
•  Less than 5%
•   If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by calling 1-.

Park Place Technologies is an Equal Opportunity Employer M/F/D/V.

Park Place Technologies has an in-house recruiting team that focuses exclusively on the hiring needs of our company. We are not currently accepting additional third-party agreements or unsolicited resumes. If you would like to be considered as a preferred partner with Park Place Technologies, please submit your detailed information to Any CVs submitted directly to hiring managers will be considered unsolicited and become the property of Park Place Technologies.