Lead AI/ML Data Engineer

Overview

Lead AI/ML Data Engineer role at Mastercard. You will be at the forefront of designing, developing, and deploying cutting-edge machine learning features that drive core business value for Mastercard. You will leverage your deep technical expertise to build sophisticated data pipelines and engineer impactful features, directly influencing our products and strategies.

Responsibilities

• Design, develop, and implement advanced features from raw data for various machine learning models, ensuring their relevance, robustness, and scalability
• Build and optimize efficient and reliable data pipelines to support the ingestion, transformation, and delivery of data for AI/ML applications
• Provide technical guidance and mentorship to other junior engineers
• Work closely with AI engineers, product managers, and other engineering teams to understand requirements, translate business problems into technical solutions, and integrate AI/ML features into production systems
• Support the deployment, monitoring, and maintenance of AI/ML features in production environments
• Implement robust testing and validation processes to ensure the quality, accuracy, and reliability of engineered features and AI/ML data pipelines

Qualifications

• Education: Bachelor\'s degree in Computer Science, Engineering, Data Science, or a related quantitative field
• Experience: Minimum of 8+ years of experience in AI/ML feature engineering, data engineering, or a related field, with a strong focus on building and deploying AI/ML feature pipelines in production
• Technical Skills: Proficiency in Python, Scala, or Java
• Extensive experience with data manipulation and analysis libraries (Pandas, NumPy, Spark)
• Hands-on experience with cloud platforms
• Strong background in SQL and NoSQL databases
• Experience with big data technologies
• Familiarity with MLOps tools (Docker, Kubernetes, CI/CD for ML)
• Analytical and problem-solving skills; ability to translate business challenges into technical solutions
• Excellent communication and presentation skills; ability to articulate technical concepts to technical and non-technical stakeholders
• Proven ability to work in cross-functional teams and drive projects to completion
• Passion for innovation and track record of adopting new technologies and methodologies in AI/ML

Corporate Security Responsibility

• All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
• Abide by Mastercard’s security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach;
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Financial Services, IT Services and IT Consulting, and Technology, Information and Internet