Essential Duties:

• Design and develop machine learning models and algorithms to solve complex business problems and improve decision-making processes.
• Develop robust data engineering solutions to ingest, preprocess, and transform large volumes of structured and unstructured data for AI applications.
• Train AI models using various techniques such as supervised learning, unsupervised learning, and reinforcement learning, and deploy them to production environments.
• Continuously refine and optimize AI solutions to improve accuracy, performance, and scalability, and minimize resource usage.
• Collaborate with data scientists, software engineers, and domain experts to translate business requirements into AI models and solutions, ensuring alignment with organizational objectives.
• Keep abreast of advancements in the field of AI, including new algorithms, frameworks, and tools, and evaluate their potential for enhancing existing systems or developing new solutions.

Requirements:

• Proficiency in programming (e.g., Python) and machine learning frameworks (e.g., TensorFlow, PyTorch).
• Strong mathematical foundation (linear algebra, calculus, statistics).
• Knowledge of deep learning and neural networks.
• Data preprocessing and feature engineering skills.
• Experience with cloud platforms and model deployment.