Lead Software Engineer (Machine Learning Engineer)
Description For Lead Software Engineer (Machine Learning Engineer)
Global Payments, a leading payments technology company, is seeking a Lead Software Engineer specializing in Machine Learning. This role is perfect for an experienced ML engineer who wants to make a significant impact in the FinTech space. The position involves working with cutting-edge AI technologies, including Snowflake's Cortex AI and Retrieval Augmented Generation (RAG), to develop and deploy machine learning solutions that drive business value.
The ideal candidate will have 4+ years of experience in machine learning or data science, with strong expertise in Python, statistical modeling, and modern ML frameworks. You'll be working with a collaborative team that values innovation and operational excellence, developing solutions that impact millions of transactions and users worldwide.
At Global Payments, you'll be part of a company that processes transactions for over 3 million companies and serves more than 600 million cardholders. The role offers an opportunity to work on challenging problems in the payments industry, using advanced AI/ML techniques to create scalable solutions. You'll have the chance to work with modern tools and technologies while contributing to the future of payment technology.
The position requires a blend of technical expertise and business acumen, as you'll be collaborating with cross-functional teams to translate business requirements into practical AI/ML solutions. The company offers a dynamic environment where you can grow professionally while working on meaningful projects that have a direct impact on the global payments landscape.
Responsibilities For Lead Software Engineer (Machine Learning Engineer)
- Develop, test, and deploy machine learning models for FinTech applications
- Collaborate with Data Scientists to build and maintain ML pipelines
- Analyze large and complex datasets using statistical methods
- Design and implement features leveraging Snowflake's AI capabilities
- Create and optimize AI/ML pipelines
- Apply Retrieval Augmented Generation (RAG) techniques
- Partner with cross-functional teams to translate business needs into AI/ML solutions
- Implement best practices for versioning, monitoring, and retraining models
- Document processes, results, and workflows
- Stay informed on AI/ML trends
Requirements For Lead Software Engineer (Machine Learning Engineer)
- Bachelor's degree in Data Science, Computer Science, Statistics, or related field
- 4+ years in machine learning or data science roles
- Proficiency in Python and libraries like NumPy, Pandas, and Scikit-learn
- Experience with machine learning frameworks (TensorFlow, PyTorch)
- Familiarity with SQL and data manipulation in Snowflake
- Understanding of statistical modeling
- Experience with data visualization tools
- Knowledge of RAG principles
- Familiarity with Git
- Strong analytical and problem-solving skills
- Excellent communication and interpersonal skills
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