Data Ops/ML Engineer

Contract Data Ops/ML Engineer position requires 3-5+ years of data engineering experience, machine learning/AI development, and data warehouse technical architectures. The candidate should have deep AWS knowledge, DBA ability, and experience with Python programming language.

Requirements

• Matric with a degree in Computer Science, Business Informatics, Mathematics, Applied Statistics/Applied Mathematics Physics, or Data Engineering
• Certification in data, data science or artificial intelligence
• 3-5+ years of data engineering experience
• 3-5+ years of Machine learning/Artificial Intelligence and Statistical algorithm development
• Experience with any data warehouse technical architectures, ETL/ELT, and reporting/analytics tools
• Deep and Extensive AWS knowledge and skills
• DBA ability and knowledge across at least 2 platforms
• Some experience with the Python programming language
• Experience with designing and implementing Cloud (AWS) solutions
• Some experience with Dev/OPS architecture, implementation and operation
• Minimum bachelors degree in quantitative management (decision sciences) or Computer Science/Statistics/Applied Statistics/Applied Mathematics
• Knowledge of Engineering and Operational Excellence using standard methodologies
• Best practices in software engineering, data management, data storage, data computing and distributed systems
• Experience in applying SAFe/Scrum/Kanban methodologies
• Knowledge and understanding of business process management lifecycle
• Good problem-solving skills
• Good programming, performance tuning and troubleshooting skills
• Experience with APIs, databases, and cloud platforms

Tagged as: Python, SQL