Machine Learning Engineer

Key Responsibilities

• Developing and implementing machine learning models for various applications, including but not limited to predictive modeling, classification, regression, and anomaly detection.
• Designing and building robust and scalable machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, and model evaluation.
• Deploying and monitoring machine learning models in production environments, ensuring high performance and reliability.
• Collaborating with data scientists, software engineers, and product managers to define project requirements and deliver solutions that meet business needs.
• Conducting thorough testing and validation of machine learning models to ensure accuracy and reliability.
• Staying up to date with the latest advancements in machine learning and artificial intelligence, and evaluating their potential applicability to our business.
• Contributing to the development of internal machine learning infrastructure and best practices.
• Documenting all aspects of the machine learning development lifecycle, including data sources, algorithms, code, and deployment procedures.
• Participating in code reviews and providing constructive feedback to other team members.
• Troubleshooting and resolving issues related to machine learning models and infrastructure.
• Presenting findings and recommendations to stakeholders in a clear and concise manner.