Mastercard
Overview
Employer Industry: Financial Technology Why consider this job opportunity
Salary up to $176,000 Opportunity for career advancement and growth within the organization Comprehensive benefits package including medical, dental, vision, and life insurance Flexible paid leave options, including 16 weeks of new parent leave and 25 days of vacation Collaborative and innovative work environment with mentorship opportunities Chance to work on cutting-edge AI and ML projects in a regulated environment What to Expect (Job Responsibilities)
Develop prototypes and deliver production-ready features with high-quality code, tests, and CI/CD practices Build core components for Agentic AI systems including RAG, embeddings, vector search, and tool/function calling Enhance model evaluation frameworks and monitor key metrics for data-informed improvements Collaborate on data ingestion and ensure compliance with privacy and access policies Implement observability tools and follow secure coding and Responsible AI practices What is Required (Qualifications)
BS/MS in Computer Science, Data Science, or equivalent practical experience Proficient in Python, REST, SQL, Git, Docker, and CI/CD workflows Familiarity with LLMs, prompting, embeddings, and ML tools like PyTorch/TensorFlow Professional hands-on experience building services, ML features, or GenAI applications Understanding of Responsible AI and safety/guardrail systems How to Stand Out (Preferred Qualifications)
Exposure to major cloud platforms (Azure, AWS, GCP) and event-driven systems (e.g., Spark, Kafka) Knowledge of Cloudera AI, Databricks, Spark, Delta/Unity Catalog, or similar stacks Portfolio of open-source contributions, hackathons, or published work
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Employer Industry: Financial Technology Why consider this job opportunity
Salary up to $176,000 Opportunity for career advancement and growth within the organization Comprehensive benefits package including medical, dental, vision, and life insurance Flexible paid leave options, including 16 weeks of new parent leave and 25 days of vacation Collaborative and innovative work environment with mentorship opportunities Chance to work on cutting-edge AI and ML projects in a regulated environment What to Expect (Job Responsibilities)
Develop prototypes and deliver production-ready features with high-quality code, tests, and CI/CD practices Build core components for Agentic AI systems including RAG, embeddings, vector search, and tool/function calling Enhance model evaluation frameworks and monitor key metrics for data-informed improvements Collaborate on data ingestion and ensure compliance with privacy and access policies Implement observability tools and follow secure coding and Responsible AI practices What is Required (Qualifications)
BS/MS in Computer Science, Data Science, or equivalent practical experience Proficient in Python, REST, SQL, Git, Docker, and CI/CD workflows Familiarity with LLMs, prompting, embeddings, and ML tools like PyTorch/TensorFlow Professional hands-on experience building services, ML features, or GenAI applications Understanding of Responsible AI and safety/guardrail systems How to Stand Out (Preferred Qualifications)
Exposure to major cloud platforms (Azure, AWS, GCP) and event-driven systems (e.g., Spark, Kafka) Knowledge of Cloudera AI, Databricks, Spark, Delta/Unity Catalog, or similar stacks Portfolio of open-source contributions, hackathons, or published work
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