What are the responsibilities and job description for the AI/ML Platform Architect position at Contech Systems, Inc.?
AI/ML Platform Architect
Hybrid - 2 days per month, onsite, in Newark, NJ is required
The AI/ML Platform Architect defines enterprise AI/ML platform patterns, MLOps frameworks, and responsible AI standards to enable scalable, ethical deployment of machine learning. This senior-level role focuses on creating reusable templates and governance models for model training, deployment, and monitoring. The AI/ML Platform Architect partners with data science, platform, and security teams to drive AI adoption.
Key Responsibilities:
- Define ML platform reference architectures and MLOps patterns.
- Create model deployment templates for real-time, batch, and streaming inference.
- Establish model governance, versioning, and monitoring frameworks.
- Develop GenAI and LLM integration patterns (RAG, vector databases, prompt engineering).
- Build responsible AI frameworks including bias detection and explainability.
- Define feature store, data prep, and experimentation standards.
- Develop AI/ML modernization roadmaps and train architects and data scientists.
Qualifications:
- 7 years in AI/ML architecture or data science.
- 5 years creating ML platform and MLOps frameworks.
- Experience with GenAI, LLMs, and production-scale ML deployment.
- Expertise in SageMaker, Azure ML, Vertex AI, and model serving infrastructure.
- Cloud ML certifications and TOGAF preferred.
The AI/ML Platform Architect will deliver MLOps templates, GenAI integration patterns, and responsible AI frameworks that shape the future of enterprise AI. This is a high-impact role for an AI/ML Platform Architect ready to lead innovation at scale.
Hybrid - 2 days per month, onsite, in Newark, NJ is required
The AI/ML Platform Architect defines enterprise AI/ML platform patterns, MLOps frameworks, and responsible AI standards to enable scalable, ethical deployment of machine learning. This senior-level role focuses on creating reusable templates and governance models for model training, deployment, and monitoring. The AI/ML Platform Architect partners with data science, platform, and security teams to drive AI adoption.
Key Responsibilities:
- Define ML platform reference architectures and MLOps patterns.
- Create model deployment templates for real-time, batch, and streaming inference.
- Establish model governance, versioning, and monitoring frameworks.
- Develop GenAI and LLM integration patterns (RAG, vector databases, prompt engineering).
- Build responsible AI frameworks including bias detection and explainability.
- Define feature store, data prep, and experimentation standards.
- Develop AI/ML modernization roadmaps and train architects and data scientists.
Qualifications:
- 7 years in AI/ML architecture or data science.
- 5 years creating ML platform and MLOps frameworks.
- Experience with GenAI, LLMs, and production-scale ML deployment.
- Expertise in SageMaker, Azure ML, Vertex AI, and model serving infrastructure.
- Cloud ML certifications and TOGAF preferred.
The AI/ML Platform Architect will deliver MLOps templates, GenAI integration patterns, and responsible AI frameworks that shape the future of enterprise AI. This is a high-impact role for an AI/ML Platform Architect ready to lead innovation at scale.