AI Developer

RESIDENT STATUS: Transferable

Supervisor/Manager: Reports to CEO

We are seeking a skilled AI Developer to join our team and drive the development of AI solutions that improve business processes and enhance user experiences. The ideal candidate will have experience with machine learning, natural language processing, and deep learning, and will be proficient in designing, developing, and implementing AI models and algorithms.

Key Responsibilities:

• Design and develop AI models and algorithms to solve complex problems across various domains.
• Implement machine learning and deep learning models, fine-tuning and optimizing them for performance.
• Collaborate with data scientists, engineers, and business stakeholders to understand project requirements and translate them into AI solutions.
• Research, evaluate, and integrate new AI technologies and frameworks as needed.
• Develop data pipelines, preprocess data, and create datasets for training AI models.
• Test, monitor, and maintain AI models in production environments, ensuring stability and accuracy.
• Document AI development processes, including model architecture, hyperparameters, and results.
• Stay up-to-date with advancements in AI and machine learning and apply relevant trends and developments to ongoing projects.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field.
• Proven experience in AI development, with a strong understanding of machine learning, deep learning, and natural language processing.
• Proficiency in programming languages such as Python, R, or Java, and experience with AI frameworks like TensorFlow, PyTorch, and Keras.
• Familiarity with data processing libraries (e.g., Pandas, NumPy) and data visualization tools.
• Strong analytical and problem-solving skills with the ability to work independently and as part of a team.
• Knowledge of cloud platforms (e.g., AWS, Google Cloud, Azure) and experience deploying AI models in cloud environments is a plus.
• Excellent communication skills and the ability to translate complex AI concepts for non-technical stakeholders.

Preferred Qualifications:

• Experience with reinforcement learning, computer vision, or NLP.
• Understanding of software engineering best practices, version control (Git), and agile development methodologies.
• Experience with big data technologies (e.g., Hadoop, Spark) is an added advantage.

Job Type: Full-time