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Python Full-Stack Developer

Python Full-Stack Developer

Apex SystemsDearborn, MI, US
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Python Full-Stack Developer

12 Month Contract

60- 70 / HR

Hybrid On Site Dearborn MI

Key Responsibilities :

  • Design, develop, and deploy Agentic App and solutions on Google Cloud Platform, primarily utilizing Google Vertex AI.
  • Build, optimize, and maintain scalable microservices for various ML functionalities, including model inference, data ingestion, feature serving, and API integrations.
  • Implement and manage MLOps practices, including continuous integration (CI), continuous delivery (CD), automated testing, and monitoring for ML models and infrastructure.
  • Collaborate with data scientists to productionize machine learning models, ensuring they are robust, performant, and scalable for real-time and batch predictions.
  • Leverage Vertex AI capabilities such as Vertex AI Pipelines for workflow orchestration, Model Registry for version control, and Feature Store for managing and serving features efficiently.
  • Monitor the performance, health, and drift of deployed models, implementing alerting and retraining strategies as needed.
  • Contribute to the architectural design and implementation of our cloud-native ML platform.
  • Write clean, maintainable, and well-documented code in Python and related frameworks.
  • Troubleshoot and resolve issues across the entire ML system stack.

Required Qualifications :

  • Bachelors or Masters degree in Computer Science, Machine Learning, Engineering, or a related quantitative field, or equivalent practical experience.
  • 3+ years of experience as a Machine Learning Engineer, Software Engineer, or a similar role focused on ML systems.
  • Proven hands-on experience with Google Cloud Platform (GCP), with significant expertise in Google Vertex AI (including Vertex AI Workbench, Pipelines, Model Registry, Endpoints, and Feature Store).
  • Strong proficiency in Python and experience with popular ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Extensive experience designing, developing, and deploying microservices (e.g., using FastAPI, Flask, or similar frameworks) for production applications.
  • Solid understanding of containerization technologies (e.g., Docker) and orchestration platforms (e.g., Kubernetes).
  • Experience with RESTful APIs and building robust, high-performance web services.
  • Familiarity with MLOps principles and tools for model versioning, deployment, monitoring, and retraining.
  • Experience with relational and / or NoSQL databases.
  • Excellent problem-solving skills and the ability to work independently and as part of a team.

    • Preferred Qualifications :

  • Experience with other GCP services relevant to ML (e.g., BigQuery, Cloud Storage, Dataflow, Cloud Functions).
  • Knowledge of distributed computing frameworks (e.g., Apache Spark, Beam).
  • Experience with CI / CD tools (e.g., Cloud Build, Jenkins CI / CD).
  • Understanding of data engineering concepts and experience building data pipelines.
  • Familiarity with front-end technologies (e.g., React, Angular, Vue.js) for building ML-powered UIs or dashboards.

    • EEO Employer

    Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.

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    Python Developer • Dearborn, MI, US