Job#: 3031542
Job Description:
Data Machine Learning Engineer
Must haves:
- Python
- AWS
- Kubernetes
- Kubeflow (or equivalent workflow experience)
- Spark pandas, NumPy
- ML Ops / ML tooling experience
- Hybrid on-site requirement (must be able to work in-office; McLean preferred, New York possible)
- Previous Capital One experience highly desirable
Nice to haves:
- SQL / data analysis experience
- Databricks
- Additional ML tooling experience (mlplot, Data bricks)
- DevOps familiarity (Jenkins, CICD pipelines)
- AWS solution Architect Cert
Org/Team:
- (CTML) Card Tech Machine Learning
- Team works on serving pipelines and collaborates with Data Science teams
- Team locations: primarily McLean (majority) and New York (some members)
- Joining a team of 6 Data Engineers
Project Details/Day2Day:
- Maintain and develop ML serving pipelines (Kubeflow + Spark + Python)
- Work with DS teams on training pipelines and feature engineering
- Develop features, deploy applications, test, and perform vulnerability fixes
- Debugging and supporting production ML pipelines and CICD workflows
- Supporting discover integration across all groups and enterprise
- Build, train, and deploy machine learning models
- Support models for:
o Credit card decisioning
o Fraud tracking
o Risk assessment
o Partner applications (Kohl's, BJs)
IV Process:
- Round 1: 30-minute job-fit interview
- Round 2: 1-hour technical panel interview (for candidates who pass job-fit)
Job Description:
JOB DESCRIPTION - Required: Python, AWS, Kubernetes, Kubeflow, MLOps, ML Tooling - Spark, Pandas, Numpy
Good to have: Data analysis experience (SQL), ML tooling: mlplot; Databricks -- previous C1 exp preferred
Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Click for more details.
Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: apexsan
- Position Id: BHJOB2374_3031542
- Posted 5 hours ago
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