AI Engineer

Location/Remote: Hybrid Remote in Cleveland, OH 44139 (i.e., 4 days onsite/week)

Employment Type: Direct Hire / Permanent / Full-time

Compensation: up to $130k salary/year + 7% salary = up to $139k total compensation/year

Benefits:

• 100% company paid medical benefits (for you + your family)
• dental, vision, LTD/STD, HSA/FSA, term life, supplemental health insurances (e.g., Aflac)
• 12-weeks paid parental leave
• 401(k) + 3% company match
• Unlimited PTO

We're looking for an AI Engineer to develop, implement, and manage innovative, data-driven AI solutions and machine learning models. In this role, you'll collaborate across departments to build cutting-edge solutions that enhance decision-making and optimize 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 and Spark.
• Collaborate with data analysts, data engineers, software engineers, and business analysts to translate complex business requirements into technical solutions.
• Employ 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 a 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 (e.g., Azure, AWS, Google Cloud Platform).
• Experience with Visual Studio, Git, and 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

• Prior experience as a Data Engineer or Data Analyst is a plus.
• Experience with Azure is highly preferred, including technologies such as Azure Synapse, Azure ML, Azure Data Factory, Azure Functions, and Azure Databricks, and Cosmos DB.
• Knowledge of Vibe Coding and familiarity with cutting-edge industry trends.
• Cloud Certification (e.g., Microsoft Certified: Azure AI Engineer Associate).
• Experience with CQRS Pattern, Dependency Injection, Entity Framework & LINQ, Microservices, OData, and asynchronous programming.
• Exposure to Agile methodologies and Test Driven Development (TDD).