What is a AI/Machine Learning Engineer doing? Job description and responsibilities
What does a AI/Machine Learning Engineer do?
The AI/Machine Learning Engineer will be responsible for developing and implementing cutting-edge AI and machine learning algorithms to enhance the company's products and services. Reporting to the Chief Technology Officer, this role will involve collaborating with cross-functional teams to identify business needs, designing and training models, and deploying them into production environments. The AI/Machine Learning Engineer will play a crucial role in driving innovation and leveraging data-driven insights to optimize business processes.
Responsibilities of AI/Machine Learning Engineer
• Develop and implement machine learning algorithms and models to solve complex business problems.
• Collaborate with cross-functional teams to gather and analyze data requirements for AI projects.
• Design and build scalable and efficient AI systems and infrastructure.
• Conduct research and stay up-to-date with the latest advancements in AI and machine learning.
• Evaluate and select appropriate tools and technologies for AI development.
• Train and fine-tune machine learning models using large datasets.
• Optimize and improve the performance of existing AI systems.
• Collaborate with software engineers to integrate AI models into production systems.
• Conduct experiments and A/B testing to validate the effectiveness of AI solutions.
• Provide technical guidance and mentorship to junior AI engineers.