Join a dynamic FinTech company as a Machine Learning Engineer focused on MLOps. You'll work on innovative solutions that enhance data processing and optimization. This role is ideal for those passionate about machine learning and cloud technologies.
Fast-paced and innovative
In this role, you'll be part of a fast-paced FinTech company that is dedicated to leveraging machine learning to enhance financial services. Your primary focus will be on MLOps, which involves deploying and maintaining machine learning models in production environments. You will work closely with data scientists and software engineers to ensure that models are efficiently integrated and optimized for performance.
Your day-to-day responsibilities will include: • Developing and implementing machine learning models, particularly in natural language processing (NLP) for analyzing bank statements and credit bureau data. • Collaborating with cross-functional teams to gather requirements and understand the business needs. • Monitoring model performance and making necessary adjustments to improve accuracy and efficiency. • Utilizing AWS for cost optimization and ensuring that the infrastructure supports scalable machine learning solutions.
This role is well-suited for individuals who are passionate about machine learning and have a strong technical background. You should be comfortable working in a collaborative environment and have a keen interest in financial technologies. Strong problem-solving skills and the ability to adapt to new challenges will be essential for success in this position.
If you have experience with MLOps, NLP, and AWS, and are looking to make an impact in the FinTech space, this could be the perfect opportunity for you.
You'll be taken to the original listing on CareerJet to apply.