Maxana
Benefits:
401(k) matching
Competitive salary
Dental insurance
Health insurance
Paid time off
Training & development
Senior Machine Learning Engineer
About the Role
We're looking for a talented Machine Learning Engineer to join our fortune 500 client and help build intelligent solutions their payment platform. In this role, you'll be at the intersection of data science, engineering, and product development, creating data systems that deliver meaningful impact to their users and business.
Responsibilities
Design, build, and deploy production-ready machine learning models that power critical features across our platform Collaborate with your team to transform research prototypes into robust, scalable, and maintainable ML systems Work closely with product and engineering teams to understand business problems and define technical ML solutions Improve recommendation algorithms that personalize user experiences and drive engagement Develop and maintain ML pipelines that can reliably process large volumes of data (LLM) Monitor model performance in production and implement strategies to detect and address model drift Participate in code reviews and mentor junior engineers in ML best practices Stay current with the latest advancements and evaluate new techniques for potential application Work on cutting edge projects that are pivotal to our Fortune 500 client Qualifications (Ideal, not 100% required)
Bachelor's degree in Computer Science, Machine Learning, or related technical field (Master's or PhD preferred) 3+ years of professional experience developing and deploying ML models in production environments Strong programming skills in Python and experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn Experience with LLM Solid understanding of data structures, algorithms, and software design principles Proficiency in SQL and experience working with large datasets Knowledge of data processing frameworks like Spark or Flink Tech
Python, SQL, Scala PyTorch, TensorFlow, Scikit-learn Spark, Airflow AWS/GCP cloud services Docker, Kubernetes MLflow, Feature stores Jupyter, Git
Benefits
• Competitive salary
• 100% Remote
• Extensive health/insurance benefits
• Ample opportunity for career growth
This is a remote position.
Compensation: $150,000.00 - $160,000.00 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.
About the Role
We're looking for a talented Machine Learning Engineer to join our fortune 500 client and help build intelligent solutions their payment platform. In this role, you'll be at the intersection of data science, engineering, and product development, creating data systems that deliver meaningful impact to their users and business.
Responsibilities
Design, build, and deploy production-ready machine learning models that power critical features across our platform Collaborate with your team to transform research prototypes into robust, scalable, and maintainable ML systems Work closely with product and engineering teams to understand business problems and define technical ML solutions Improve recommendation algorithms that personalize user experiences and drive engagement Develop and maintain ML pipelines that can reliably process large volumes of data (LLM) Monitor model performance in production and implement strategies to detect and address model drift Participate in code reviews and mentor junior engineers in ML best practices Stay current with the latest advancements and evaluate new techniques for potential application Work on cutting edge projects that are pivotal to our Fortune 500 client Qualifications (Ideal, not 100% required)
Bachelor's degree in Computer Science, Machine Learning, or related technical field (Master's or PhD preferred) 3+ years of professional experience developing and deploying ML models in production environments Strong programming skills in Python and experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn Experience with LLM Solid understanding of data structures, algorithms, and software design principles Proficiency in SQL and experience working with large datasets Knowledge of data processing frameworks like Spark or Flink Tech
Python, SQL, Scala PyTorch, TensorFlow, Scikit-learn Spark, Airflow AWS/GCP cloud services Docker, Kubernetes MLflow, Feature stores Jupyter, Git
Benefits
• Competitive salary
• 100% Remote
• Extensive health/insurance benefits
• Ample opportunity for career growth
This is a remote position.
Compensation: $150,000.00 - $160,000.00 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.