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Job Description
About the Role
EvoluteIQ is seeking an experienced AI Architect to lead the design, implementation, and governance of end to-end AI/ML solutions across our GenAI powered low-code/AI automation platform. The ideal candidate has a proven track record of building, deploying, and managing scalable AI/ML systems - from data ingestion and feature engineering to model deployment, monitoring, and optimization in production environments.
What You'll Do
- Own and architect end-to-end AI/ML systems (data model production monitoring)
- Build and scale GenAI-powered products on a low-code/automation platform
- Design robust MLOps pipelines (CI/CD, versioning, retraining, monitoring)
- Deploy models as scalable APIs/services with high performance
- Work closely with product & engineering to solve real business problems
- Mentor teams and drive architecture decisions
What We're Looking For
- 12+ years in AI/ML with strong hands-on system design & deployment experience
- Proven track record of building AI products from scratch (01)
- Strong experience in Python + ML frameworks (PyTorch/TensorFlow)
- Experience with MLOps tools (MLflow, Kubeflow, SageMaker, etc.)
- Solid understanding of data pipelines, cloud (AWS/GCP/Azure), Docker/K8s
- Hands-on with LLMs / GenAI (RAG, fine-tuning, vector DBs)
Not a Fit If
- You've only worked on POCs or research models
- You haven't deployed models into production
- You rely heavily on other teams for implementation
We value a range of diverse backgrounds, experiences, and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes.
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