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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:
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Design, develop, and deploy scalable AI models and algorithms aligned with business objectives.
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Develop high-performing, reusable, and reliable code following industry standards and best practices.
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Participate in all phases of the Software Development Life Cycle (SDLC), including requirement gathering, design, implementation, testing, deployment, documentation, and support.
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Build machine learning pipelines leveraging tools such as Python, Spark, Azure ML, and OpenAI.
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Collaborate with data analysts, data engineers, software engineers, and business analysts to translate complex business requirements into technical solutions.
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Employ Azure DevOps and Git to ensure proper version control and adherence to CI/CD best practices.
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Troubleshoot, analyze, and resolve AI model performance issues and production problems.
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Maintain up-to-date knowledge of advancements in AI, machine learning, and data engineering.
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Actively participate in team meetings, contributing ideas and insights to drive continuous improvement.
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Demonstrate strong problem-solving skills, excellent work ethic, and proactive attitude.
Basic Qualifications:
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Bachelor’s degree or higher in Computer Science, AI, Data Science, or a related field, or equivalent experience.
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3+ years of hands-on experience developing and deploying AI/machine learning solutions.
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Proficiency in Python programming (Spark, pandas, etc.) and SQL.
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Solid understanding of AI methodologies, including supervised/unsupervised learning, regression analysis, and neural networks.
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Practical knowledge of cloud platforms, particularly Azure (Azure Synapse, Azure ML, Azure Data Factory, Azure Functions).
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Experience with Visual Studio, Git, and Azure DevOps.
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Familiarity with software development fundamentals such as SOLID principles, Object-Oriented design, DRY, and Domain Driven Design.
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Strong communication skills, both written and verbal.
Preferred Qualifications:
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Knowledge of Vibe Coding and familiarity with cutting-edge industry trends.
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Microsoft Cloud Certification.
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Experience with technologies such as Azure Databricks, Cosmos DB, CQRS Pattern, Dependency Injection, Entity Framework & LINQ, Microservices, OData, and asynchronous programming.
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Exposure to Agile methodologies and Test Driven Development (TDD).