Responsibilities:

• Collaborate with cross-functional teams to identify business problems that can be solved using machine learning techniques.
• Design and implement machine learning models that address those problems.
• Train and deploy models in production environments.
• Monitor and improve model performance.
• Collaborate with data scientists to develop and refine data processing pipelines.
• Develop and maintain tools and infrastructure for model training, testing, and deployment.
• Stay up-to-date with the latest advancements in machine learning techniques and technologies.

Requirements:

• At least 2 years of professional experience in machine learning engineering or a related field.
• Strong programming skills in Python, including experience with machine learning libraries such as TensorFlow, Keras, PyTorch, or scikit-learn.
• Experience with cloud-based machine learning platforms such as Google Cloud AI Platform, Amazon SageMaker, or Microsoft Azure Machine Learning.
• Knowledge of software engineering best practices, including version control, testing, and deployment automation.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.