Machine Learning Engineer responsible for implementing and maintaining data science models in bpx’s machine learning studio. Bridging data science and computational needs to achieve business outcomes.
About the role
- Senior Machine Learning Engineer at Capital One leading technology projects and teams to deliver cloud-based solutions. Collaborating with product managers and sharing tech insights with others in the engineering community.
Responsibilities
- Lead a portfolio of diverse technology projects and a team of developers
- Collaborate with digital product managers and deliver robust cloud-based solutions
- Utilize programming languages like Java, Python, SQL, Node, Go, and Scala
- Share passion for tech trends, mentor members of the engineering community
Requirements
- Bachelor’s Degree
- At least 6 years of professional software engineering experience
- At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
- Master’s Degree (preferred)
- 9+ years of experience in at least one of the following: Python
- 3+ years of experience with AWS, GCP, Azure, or another cloud service
- 4+ years of experience in open source frameworks
- 3+ years of experience with Agnetic Workflows
- 3+ years of experience with Langgraph or Langchain
- 2+ years of experience in Agile practices
Benefits
- Comprehensive, competitive, and inclusive set of health benefits
- Financial benefits
- Other benefits supporting total well-being
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