Remote Senior Machine Learning Engineer

Description:

• Maxana is seeking a skilled Machine Learning Engineer to support a fortune 500 client.
• The role involves designing and implementing machine learning models and algorithms to enhance data-driven decision-making processes.
• Responsibilities include developing, implementing, and optimizing machine learning models to address complex business problems.
• The engineer will collaborate with data scientists and software developers to integrate models into production systems.
• Analyzing and preprocessing large datasets to ensure data quality and integrity is essential.
• Conducting experiments to evaluate and improve model performance is a key task.
• Staying updated with the latest developments in machine learning technologies and methodologies is required.
• Documenting processes, code, and model deployments for team knowledge sharing is expected.
• Monitoring and troubleshooting model performance in production is part of the role.
• Effective communication of results and insights to stakeholders is necessary.
• The engineer will design, develop, and deploy LLM to improve payment success rates, reduce fraud, and optimize payment routing.
• Building robust data pipelines and feature engineering systems to support model training and inference at scale is required.
• Collaboration with cross-functional teams to identify opportunities and implement ML solutions is essential.
• Monitoring model performance, analyzing results, and iterating to improve model accuracy and business impact is expected.
• Mentoring junior team members and contributing to the technical direction of the payment modeling team is part of the role.
• Staying current with research and advances in machine learning relevant to financial services and payment processing is necessary.
• Translating complex technical concepts to non-technical stakeholders and communicating model insights effectively is required.

Requirements:

• A Bachelor's degree or higher in Computer Science, Machine Learning, Statistics, or a related technical field is required.
• A minimum of 5 years of professional experience in building and deploying machine learning models in production environments is necessary.
• Strong programming skills in Python and experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn are required.
• Experience in building and optimizing data pipelines and workflows using tools like Spark, Airflow, or similar technologies is essential.
• Deep expertise in LLM is required.
• Demonstrated expertise in feature engineering, model selection, and hyperparameter tuning is necessary.
• A strong understanding of payment systems, financial transaction processing, or risk modeling is required.
• Experience working with large datasets and distributed computing platforms is necessary.
• Knowledge of software engineering best practices, including version control, testing, and CI/CD, is required.

Benefits:

• The position offers 100% remote work flexibility.
• Competitive pay is provided.
• Extensive health coverage and life insurance are included.
• A 401(K) plan is offered as part of the benefits package.