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Über
Location: McLean, VA (Onsite/Hybrid – Local candidates preferred)
Duration: 9 Months Contract
We are seeking a highly skilled MLOps Engineer / Python Developer with strong experience in building and maintaining scalable data and machine learning pipelines. The ideal candidate will have hands-on expertise in Python, AWS, Kubernetes, and ML workflow tools (Kubeflow) along with solid experience in data processing frameworks like Spark and Pandas.
Required Skills & Qualifications
Strong programming experience in Python
Hands-on experience with AWS (or similar cloud platforms)
Expertise in Kubernetes and Kubeflow (or similar orchestration/workflow tools)
Experience with Spark, Pandas, NumPy for data processing
Must have previous client experience working for this customer in the past 5 years
Preferred Skills & Qualifications
Solid understanding of MLOps, ML lifecycle, and feature engineering
Familiarity with CI/CD tools (Jenkins or similar)
Experience in debugging, performance tuning, and vulnerability remediation
Day-to-Day Responsibilities
Develop, maintain, and optimize data and model-serving pipelines using Kubeflow and Spark
Implement feature engineering workflows for machine learning models
Deploy, test, and monitor ML applications in cloud environments
Collaborate with Data Scientists and cross-functional teams to productionize models
Identify and fix bugs, vulnerabilities, and performance issues
Handle feature requests and enhancements for existing systems
Support and manage CI/CD pipelines and DevOps processes
Ensure system scalability, reliability, and security compliance
Company Benefits & Culture
Comprehensive health, dental, and vision insurance
401(k) with company match
Opportunities for professional development and growth
Sprachkenntnisse
- English
Hinweis für Nutzer
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