AI Engineer

Role: AI Engineer

Location: Dallas TX (Hybrid)

Type: Contract

AI Engineer job responsibilities:

• Develop and implement machine learning models and algorithms to solve complex business problems and enhance AI-driven applications.
• Collaborate with cross-functional teams including data scientists and software engineers to integrate AI solutions into existing products and services.
• Conduct data analysis preprocessing and feature engineering to extract valuable insights from large datasets improving model performance.
• Stay updated on the latest AI and machine learning advancements research papers and tools incorporating them into AI development projects.
• Optimize AI models for performance scalability and efficiency leveraging cloud-based resources and distributed computing frameworks.
• Actively participate in code reviews and collaborative problem-solving sessions contributing to the improvement of AI solutions and development processes.
• Troubleshoot and resolve AI-related issues ensuring the reliability and accuracy of AI-driven applications.

AI Engineer job requirements:

• Bachelors Degree in Computer Science Machine Learning Artificial Intelligence or a related field or equivalent hands-on experience in AI development.
• 2 years of AI development experience
• 2 years Python development
• 2 years SQL
• Understanding of core database concepts
• Proven track record as an AI Engineer with portfolio examples of successful machine learning or AI with LLMs like OpenAI and Gemini
• Data Governance experience
• Proficiency in programming languages commonly used in AI such as Python experience with ML frameworks.
• Familiarity with data preprocessing feature engineering and model evaluation techniques essential for machine learning projects.
• Strong understanding of various machine learning algorithms including supervised and unsupervised learning reinforcement learning and neural networks.
• Hands-on experience with Natural Language Processing (NLP) computer vision or other AI subfields.
• Solid grasp of mathematical concepts relevant to AI such as linear algebra calculus and statistics.
• Experience with version control systems like Git enabling effective collaboration and code management.
• Strong analytical and problem-solving skills crucial for algorithm development and data analysis.
• Exceptional communication skills enabling effective collaboration with both technical teams and business stakeholders to translate AI capabilities into business value.