RESPONSIBILITIES
- Works with complex structured and unstructured data, to include leading the data acquisition process, data cleaning, exploratory analysis, verification, and designing data pipelines.
- Validates models to ensure adequate real-world performance
- Create automation solutions for business-critical problems
- Assesses and advocates for automation solutions based on their cost to implement and probability of success
- Considers scalability, user experience, and biases in data when designing solutions
- Collaborates with business stakeholders to understand business objectives and develop models to help achieve them, along with metrics to track their effectiveness
- Works both strategically and tactically to achieve business outcomes
QUALIFICATIONS
- Bachelor’s degree in related field or equivalent related experience
- Minimum 1 to 5 years of professional experience as a Machine Learning Engineer
- Experience with Python, relational and unstructured datasets, MySQL, version control
(Git)
- Python’s ML ecosystem (NumPy or pandas, etc.).
- Optimizing existing or new ML solutions for performance and scale
- Experience with natural language processing or a strong desire to learn
- Demonstrated experience with deep learning
- Natural Language Processing and/or Computational linguistics
- Amazon Web Services and/or Google Cloud
- Domain-Driven Design and Test-Driven Design
Job Location: New York