Machine Learning Engineer

Skills

Description

• Providing solutions for the deployment, execution, validation, monitoring, and improvement of data science solutions.
• Creating high performance and scalable Machine Learning systems
• Building reusable production data pipelines for machine learning models
• Collaborating with Data Engineers and Data Scientist to build data and model pipelines and help in running machine learning tests and experiments
• Helping to manage the infrastructure and data pipelines needed to bring an ML solution to production
• Troubleshooting production machine learning model issues, including recommendations for retrain, revalidate, and improvements

Responsibilities

• • Bachelor’s degree in computer science engineering, Data Science, or a related technical degree.
• • In-depth knowledge of machine learning data structures and modelling, software architecture, libraries and frameworks
• • Software development experience using Java and related ML libraries including strong understanding of software engineering principles.
• • Effective oral and written communication skills to collaborate with others.
• • Sound problem-solving skills to refine prototypes and troubleshoot performance issues.

Educational Requirements

• • Experience deploying and managing containerized applications, preferably using AWS Kubernetes Services
• • Experience with big data tools and processing technologies such as Apache Spark, Apache Flink, and cloud platforms like AWS
• • Experience in Java or Python.