Applied ML Engineer contributing to machine learning and perception tasks for edge - intelligent maritime systems. Collaborating with cross - functional teams to deliver real - world AI solutions.
About the role
- Machine Learning Engineer developing and implementing ML models for lending at Blue Whale Lending LLC. Collaborating with teams to enhance data insights and validate model performance.
Responsibilities
- Develop and implement machine learning models to enhance our lending processes.
- Collaborate with data scientists and software engineers to integrate models into production systems.
- Analyse large datasets to extract meaningful insights and identify opportunities for improvement.
- Conduct experiments to validate model performance and ensure robustness.
- Stay updated on the latest advancements in machine learning and AI technologies.
Requirements
- Bachelor's degree in Computer Science, Data Science, or a related field.
- Proven experience in machine learning, with a strong understanding of algorithms and frameworks.
- Proficiency in programming languages such as Python or R.
- Experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning libraries (e.g., TensorFlow, Scikit-learn).
- Strong analytical and problem-solving skills.
- Nice to have Master's degree or higher in a relevant field.
- Experience with cloud platforms (e.g., AWS, Azure).
- Familiarity with big data technologies (e.g., Hadoop, Spark).
- Knowledge of financial services and lending mechanisms.
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