ML Engineer

Job Description:

Required Skills

ML Engineer will enable AI impact at scale by transforming prototypes into production-grade AI pipelines, maintaining models in production, and contributing to our AI platform and engineering practices.

1/ Transform prototypes into production-grade models

• Work with data scientists and AI strategists to develop requirements for production models
• Design and develop robust applications to manage production models
• Collaborate with data governance and technical teams to ensure compliance with Mastercard AI and engineering standards

2/ Maintain models in production

• Manage the full CI/CD cycle for live models including testing and deployment
• Manage label feedback and model retraining processes
• Develop logging, alerting, and mitigation strategies for handling model errors
• Collaborate with data scientists to design and develop drift detection and accuracy measurements for live models

3/ Contribute to AI platform and engineering practices

• Collaborate with DS and ML engineering leadership to develop coding standards and practices across the applied AI team
• Research, test, and help train the team on using leading edge AI platforms, such as auto ML libraries, graph databases, and cloud execution frameworks
• Contribute to the team’s AI infrastructure strategy and management

All about you

• 3+ years of industry experience in ML engineering
• Strong experience in Python
• Experience in data product development, analytical models, and model governance
• Experience with AI workflow management tools such as Airflow, Kedro, or Luigi
• Exposure statistical modeling, machine learning algorithms, and predictive analytics.
• Highly structured and organized work planning skills
• Strong understanding of the AI development lifecycle and Agile practices
• Proficiency in big data technologies like Hadoop, Spark, or similar frameworks. Experience with graph databases a plus.
• Experience in working with cloud computing platforms like AWS, Azure, or Google Cloud.
• Proven track record of delivering data products in environments with strict adherence to security and model governance standards.
• Bachelor's degree in computer science, analytics, mathematics, statistics, economics, industrial engineering, or physical sciences.

Key Skills:

ML, Python, AI, Airflow, Kedro