Job#: 2083024
Job Description:
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.
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 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.
