Data Science Engineer II @ American Express

• Accertify s Data Science team is looking for a skilled Machine Learning Engineer with a focus on managing Accertify s MLOps platform and supporting the model pipeline

• This individual will use their software development background and strong analytical skills to help build and enhance Accertify s industry-leading tools with a focus on interacting with our large datasets
• This individual s day-to-day work will involve developing production-ready codebases in Python, following SDLC and MLOps principles, analyzing data using SQL, Spark (Scala/ PySpark), and utilize overall DS hardware infrastructure expertise to maintain, design and build software solutions that are fast, scalable and flexible
• We are looking to hire a subject matter expert who possesses the expertise, knowledge and seasoning to work on projects of high sensitivity and importance
• Works relatively independently and is responsible for driving consequential decisions

Key Responsibilities:

• Design, develop, test, deploy, maintain and improve software for machine learning workflows in a production environment
• Manage intricacies of maintaining and supporting the MLOps infrastructure
• Produce maintainable, scalable, and high-quality software solutions
• Demonstrate subject matter expertise and ownership for your team s services
• Collaborate with the data-science, big-data and dev-ops teams
• Elevate the performance of colleagues through training, mentoring, and promoting best practices
• Experiment with technologies and propose solutions to colleagues including architects, data scientists and leadership

Minimum Qualifications:

• Master s Degree in Computer Science, Engineering or equivalent experience with 5+ years of experience OR Bachelor s Degree in Computer Science or Engineering, or equivalent experience with 7+ years of experience
• 5+ years of experience in software engineering and software architecture background in an enterprise setting
• High volume transactional environment experience
• Strong Relational database skills (SQL, JDBC - Oracle and PostgreSQL preferred)
• 4+ years software development experience as a Python developer
• 2+ years experience in Spark and NoSQL databases such as MapR DB, Cassandra etc.

Preferred Qualifications:

• Experience in deploying ML models in production and familiarity with MLOps
• Understanding in statistics and Machine Learning concepts such as model selection criteria, parameter tuning, A/B Testing
• Big Data Components/Frameworks such as Hadoop (MapR), Spark etc.

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

• Competitive base salaries
• Bonus incentives
• Support for financial-well-being and retirement
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• Generous paid parental leave policies (depending on your location)
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities