Machine Learning Engineer

Benefits:

401(k)

Health insurance

Paid time off

Maxana is on the lookout for a skilled Machine Learning Engineer to join our innovative team, that will be supporting our fortune 500 client. In this role, you will be responsible for designing and implementing machine learning models and algorithms that will drive our data-driven decision-making processes. You will work closely with data scientists, software engineers, and product teams to integrate machine learning solutions into our applications, ensuring they meet business and technical requirements.

Responsibilities

Develop, implement, and optimize machine learning models to solve complex business problems

Collaborate with data scientists and software developers to integrate models into production systems

Analyze and preprocess large datasets, ensuring data quality and integrity

Conduct experiments to evaluate and improve model performance

Stay up-to-date with the latest developments in machine learning technologies and methodologies

Document processes, code, and model deployments for team knowledge sharing

Monitor and troubleshoot model performance in production

Communicate results and insights to stakeholders effectively

Design, develop, and deploy LLM that improve payment success rates, reduce fraud, and optimize payment routing across our global platform

Build robust data pipelines and feature engineering systems to support model training and inference at scale

Collaborate with cross-functional teams including product managers, engineers, data scientists, and business stakeholders to identify opportunities and implement ML solutions

Monitor model performance, analyze results, and continuously iterate to improve model accuracy and business impact

Mentor junior team members and contribute to the technical direction of the payment modeling team

Stay current with the latest research and advances in machine learning, especially in areas relevant to financial services and payment processing

Translate complex technical concepts to non-technical stakeholders and communicate model insights effectively

Requirements

Bachelor's degree or higher in Computer Science, Machine Learning, Statistics, or related technical field

5+ years of professional experience building and deploying machine learning models in production environments

Strong programming skills in Python and experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn

Experience with building and optimizing data pipelines and workflows using tools like Spark, Airflow, or similar technologies

Deep LLM expertise

Demonstrated expertise in feature engineering, model selection, and hyperparameter tuning

Strong understanding of payment systems, financial transaction processing, or risk modeling

Experience working with large datasets and distributed computing platforms

Knowledge of software engineering best practices including version control, testing, and CI/CD

Preferred

PhD in Machine Learning, Data Science, or related field

Experience with fraud detection, anomaly detection, or risk modeling in financial services

Knowledge of time series forecasting, graph neural networks, or reinforcement learning

Familiarity with regulatory considerations in payment processing across different regions

Experience with real-time prediction systems and model serving infrastructure

Contributions to the ML community through publications, open-source projects, or conference presentations

Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies

Benefits

100% Remote

Competitive pay

Extensive health coverage and life insurance

401(K) plan

This is a remote position.

Compensation: $120,000.00 - $140,000.00 per year

Maxana has been providing custom software and engineering solutions to leading companies since 2017. Our team is composed of experienced professionals who have worked with top technology firms. We specialize in fintech, payments, and banking platforms and offer a range of services including application development, engineering consulting, and strategic technology advisory. Our consultants have a wealth of knowledge in the payment and fintech industries, and we use this expertise to help our clients navigate the world of digital transformation. Whether it's integrating with third parties or creating new products, we work with our clients to find solutions that meet their needs and exceed their expectations.