Join Our Team as an AI Engineer. In this pivotal role, you'll have the opportunity to blend the art of data analysis with the science of building and deploying advanced AI models. If you're ready to dive into the intricacies of complex datasets, provide strategic insights through cutting-edge algorithms, and cultivate partnerships that drive business growth, then this is the opportunity you've been waiting for. As an AI Engineer, you'll be responsible for developing and implementing innovative AI solutions that transform the way we serve our clients. Responsibilities
Collect, clean, and pre-process large datasets. Conduct comprehensive data analysis to extract meaningful insights, identify trends, and inform business decisions.
Develop custom dashboards to visualize data for our clients.
Design, build, and deploy machine learning models and algorithms for various applications.
Train AI models, tune hyper-parameters, and optimize model performance.
Work with software engineers and product managers to integrate AI solutions into products and services.
Stay updated with the latest AI research and trends, and apply innovative techniques to solve business problems.
Monitor and evaluate the performance of AI models in production, making adjustments as necessary.
Maintain comprehensive documentation of AI models, processes, and systems.
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
Proven experience in developing and deploying AI models and machine learning algorithms. -Proficiency in programming languages such as Python, R, Java, or C++.
Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
Strong understanding of data structures, algorithms, and software design principles.
Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus.
Strong problem-solving skills and the ability to analyze complex datasets.
Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholder
