AI / ML Engineer

• Build and develop machine learning models using PyTorch
• Work with real-time data to solve production-level problems
• Apply ML techniques to real-world use cases
• Collaborate closely with data engineers on data inputs and pipelines

50% - Agents & ML Enablement

• Develop and support agent-based systems within Google Cloud Platform
• Support and enhance the broader data and ML ecosystem
• Work with prompt engineering
• Help operationalize and enable ML workflows across the organization

Technology & Platform Environment

• Programming Language: Python
• Model Development: PyTorch
• Deployment & Orchestration: Vertex AI
• Cloud Platform: Google Cloud Platform (Google Cloud Platform)
• Data: Real-time data processing
• Candidates do not need to be Google Cloud Platform experts on day one, but must have prior production ML experience.

MLOps Expectations

This role is well-suited for someone who:

• Has deployed machine learning models into production environments
• Understands core MLOps concepts, including:

• Model versioning
• Monitoring
• Retraining
• Data drift

• Is comfortable working in environments where:

• Tooling is still evolving
• Standards are being defined
• They are helping build the runway, not just using it

Education & Background Flexibility

The client is open to candidates from a variety of backgrounds, including:

• Master's candidates from top programs, provided you have:

• Hands-on machine learning experience
• Exposure to production-level systems

• The ideal candidate:
• Has built ML models using PyTorch
• Has deployed ML models into production
• Possesses a strong understanding of MLOps principles
• Has experience working with real-time data
• Is interested in agents and applied AI
• Thrives in evolving, fast-moving environments
• Just let me know how you'd like to use it.

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., "MI", "postalCode": "48120", "addressCountry": "US"}}, "employmentType": "FULL_TIME", "baseSalary": {"@type": "MonetaryAmount", "currency": "USD", "value"