AI Engineer

We are seeking an AI Developer to design, develop, and implement intelligent solutions that improve business processes, enhance decision-making, and drive operational efficiency. This individual will collaborate with technical and business stakeholders to identify opportunities for leveraging artificial intelligence and machine learning technologies across a variety of applications.

Key Responsibilities

• Design, develop, and deploy AI and machine learning solutions that address business challenges and improve performance.
• Build and maintain data pipelines and supporting infrastructure required for AI initiatives.
• Integrate AI capabilities into existing applications, platforms, and workflows.
• Partner with cross-functional teams to identify, evaluate, and prioritize AI use cases.
• Monitor, optimize, and maintain model performance, scalability, and reliability.
• Research emerging technologies and recommend innovative approaches to solving business problems.
• Document technical solutions, processes, and implementation best practices.
• Support ongoing enhancement and maintenance of deployed AI solutions.

Required Qualifications

• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field; equivalent experience may be considered.
• 2+ years of experience developing machine learning or AI-based solutions.
• Proficiency in Python and experience working with modern AI/ML frameworks and libraries.
• Experience with data processing, data analysis, and working with structured and unstructured datasets.
• Understanding of APIs, system integrations, and software development best practices.
• Strong analytical, problem-solving, and troubleshooting skills.
• Ability to communicate technical concepts effectively to both technical and non-technical audiences.

Preferred Qualifications

• Experience working with predictive analytics, recommendation engines, natural language processing, or generative AI solutions.
• Familiarity with cloud-based environments and modern data platforms.
• Understanding of model deployment, monitoring, and lifecycle management practices.
• Experience collaborating within agile software development environments.