AI Engineer (225-808)

An AI Engineer is an integral part of any organization seeking to harness the immense potential of artificial intelligence and machine learning. This role requires a blend of technical acumen and innovative thinking to develop, implement, and optimize AI-driven solutions that can enhance business processes, improve customer experience, and contribute to data-driven decision making. AI Engineers work closely with data scientists, software developers, and project managers to integrate AI technology into practical applications. They are responsible for designing AI models, evaluating machine learning algorithms, and tailoring these solutions to align with organizational goals. Successful AI Engineers are adept at programming, possess a deep understanding of AI frameworks, and continually stay abreast of advancements in AI technologies and methodologies.

Responsibilities

• Design and develop AI and machine learning models to solve complex problems.
• Collaborate with cross-functional teams to integrate AI solutions with existing systems.
• Analyze large sets of data to derive actionable insights and enhance AI models.
• Experiment with new algorithms and techniques to improve AI model performance.
• Implement AI and machine learning solutions ensuring scalability and efficiency.
• Troubleshoot and resolve issues related to AI application performance and capabilities.
• Participate in AI strategy development aligned with business objectives.
• Conduct research to stay current with the latest trends and advancements in AI.
• Ensure AI technologies adhere to company policies and legal compliance requirements.
• Monitor AI system architecture and oversee AI technology lifecycle management.
• Prepare and present technical reports and findings to stakeholders and management.
• Mentor junior AI engineers and provide guidance in AI project execution.

Requirements

• Bachelor’s degree in Computer Science, Data Science, or a related field.
• Strong proficiency in programming languages such as Python, Java, or R.
• Experience with AI and machine learning frameworks like TensorFlow or PyTorch.
• Solid understanding of data structures, algorithms, and statistical analysis.
• Excellent problem-solving skills and the ability to work independently.
• Familiarity with cloud services such as AWS, Google Cloud, or Azure.
• Proven track record of developing and deploying AI solutions in real-world settings.
• Good communication skills to convey complex AI concepts to non-technical stakeholders.