What are the responsibilities and job description for the Artificial Intelligence Engineer position at Simple Intelligence Solutions?
Company Description Simple Intelligence Solutions is a technology company focused on applying artificial intelligence to solve practical business challenges. The organization works with clients across industries to design and deploy AI-driven products, tools, and workflows that improve efficiency and decision-making. Teams collaborate closely with stakeholders to translate complex data and requirements into usable, scalable solutions. The company values innovation, clear communication, and responsible AI practices. Team members are encouraged to experiment, learn continuously, and contribute ideas that shape both products and processes.
Role Description This is a full-time Artificial Intelligence Engineer role based in Miami, FL, with a hybrid work arrangement that allows a mix of on-site and work-from-home days. The Artificial Intelligence Engineer will design, build, and deploy AI models and services, with a focus on pattern recognition, neural networks, and natural language processing. Day-to-day responsibilities include collecting and preprocessing data, developing and training machine learning models, evaluating model performance, and optimizing algorithms for scalability and reliability. The role also involves collaborating with software developers to integrate AI models into production systems, writing clean and maintainable code, and documenting technical designs and experiments. The engineer will work closely with product managers and other stakeholders to define requirements, prioritize features, and ensure that AI solutions are aligned with business goals and ethical standards.
Qualifications
Role Description This is a full-time Artificial Intelligence Engineer role based in Miami, FL, with a hybrid work arrangement that allows a mix of on-site and work-from-home days. The Artificial Intelligence Engineer will design, build, and deploy AI models and services, with a focus on pattern recognition, neural networks, and natural language processing. Day-to-day responsibilities include collecting and preprocessing data, developing and training machine learning models, evaluating model performance, and optimizing algorithms for scalability and reliability. The role also involves collaborating with software developers to integrate AI models into production systems, writing clean and maintainable code, and documenting technical designs and experiments. The engineer will work closely with product managers and other stakeholders to define requirements, prioritize features, and ensure that AI solutions are aligned with business goals and ethical standards.
Qualifications
- Strong foundations in Computer Science, including algorithms, data structures, and software engineering principles.
- Hands-on experience with Pattern Recognition and Neural Networks, including training, tuning, and evaluating deep learning models.
- Practical experience with Natural Language Processing (NLP), such as text classification, information extraction, or conversational AI.
- Proficiency in Software Development using languages such as Python, Java, or C , and familiarity with version control and collaborative development workflows.
- Experience with machine learning frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn) and cloud platforms or MLOps practices is highly beneficial.
- Ability to analyze complex problems, design experiments, interpret results, and communicate technical concepts clearly to both technical and non-technical audiences.
- Bachelor’s degree in Computer Science, Electrical Engineering, Data Science, or a related field (advanced degree or equivalent experience is a plus).
- Comfort working in a hybrid environment, with strong collaboration skills and the ability to work independently when remote.