Job Description & How to Apply Below
The engineer will also evaluate new AI frameworks and tools, document technical approaches, and contribute to best practices for scalable and maintainable AI systems.
Qualifications
Strong foundation in Computer Science and Software Development, including data structures, algorithms, and version control.
Experience with Pattern Recognition and Neural Networks for real-world applications such as classification, prediction, and recommendation systems.
Hands-on expertise in Natural Language Processing (NLP), including text analysis, conversational interfaces, and language models.
Proficiency with programming languages commonly used in AI (such as Python or JavaScript) and relevant AI/ML libraries (e.g., Tensor Flow, PyTorch, scikit-learn).
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field, or equivalent practical experience.
Ability to work collaboratively on-site, communicate complex technical concepts clearly, and translate business needs into AI solutions.
Experience deploying AI models into production environments and optimizing for scalability and performance is a plus.
Familiarity with cloud platforms, APIs, and MLOps practices for model monitoring and continuous improvement is beneficial.
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