ML Engineer

About the Role:

We are looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.

Job Responsibilities:

· Develop and implement machine learning algorithms and models to solve complex business problem

· Collaborate with data scientists, software engineers, and business stakeholders to identify opportunities to apply machine learning to improve business outcomes

· Design, develop, and implement end-to-end machine learning systems, including data pre-processing, feature engineering, model training and evaluation, and deployment

· Create and own cloud native API to deploy ML Models

· Participate in code and design reviews, and contribute to the development of best practices and standards for the machine learning team

· Automate campaigns in a scalable manner to optimize compute and infrastructure cost

Education, Work Experience, Key Skill Set Requirements:

· Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field

· 2+ years of experience in machine learning, data science, or a related field

· Strong programming skills in Python and experience with popular machine learning libraries such as TensorFlow, PyTorch, or scikit-learn

· Pyspark experience is a plus

· Experience with data pre-processing, feature engineering, model selection, and evaluation

· Experience with cloud platforms and their AI/ML offerings

· Strong understanding of statistical concepts and their applications in machine learning

· Excellent written and verbal communication skills, with the ability to effectively communicate technical concepts to non-technical stakeholders

· Financial industry experience is a plus