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Job Description
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).
