Senior Software Engineer at Growth Acceleration Partners, designing and deploying production - grade AI solutions. Collaborating closely with data, platform, and product teams in a hybrid setup.
About the role
- Machine Learning Engineer providing leadership and development for ML applications in financial services at Capital One. Collaborating with cross-functional teams to solve business problems through ML.
Responsibilities
- Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams
- Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems
- Lead large-scale ML initiatives with the customer in mind
- Leverage cloud-based architectures and technologies to deliver optimized ML models at scale
- Optimize data pipelines to feed ML models
- Use programming languages like Python, Scala, C/C++
- Leverage compute technologies such as Dask and RAPIDS
- Evangelize best practices in all aspects of the engineering and modeling lifecycles
- Help recruit, nurture, and retain top engineering talent
Requirements
- Bachelor’s degree
- At least 10 years of experience designing and building data-intensive solutions using distributed computing
- At least 7 years of experience programming in C, C++, Python, or Scala
- At least 4 years of experience with the full ML development lifecycle using modern technology in a business critical setting
- Master's Degree preferred
- 3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models
- 3+ years of experience using Dask, RAPIDS, or in High Performance Computing
- 3+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn)
- Ability to communicate complex technical concepts clearly to a variety of audiences
- ML industry impact through conference presentations, papers, blog posts, or open source contributions
- Ability to attract and develop high-performing software engineers with an inspiring leadership style
Benefits
- Comprehensive, competitive, and inclusive set of health benefits
- Financial benefits
- Other benefits supporting total well-being
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