Technical Architect – AI, ML & Generative AI
USD 150K-202K (estimate) Senior-level Full Time
Tasks
- Build end-to-end ML pipelines
- Conduct AI workshops
- Deliver technical presentations to technical and non technical audiences
- Design AI/ML solution architecture
- Develop data ingestion preprocessing training evaluation deployment monitoring
- Ensure reproducibility versioning and model governance
- Implement MLOps production deployment
- Integrate AI workloads into CI CD pipelines
- Mentor interns and junior data scientists
- Prototype generative AI models
- Research AI/ML models
- Support pre sales technical demos proof of concepts
- Translate AI concepts into actionable tasks
- Write production-quality ML code
Perks/Benefits
- 401k
- Critical Illness Accident Hospital Indemnity Identity Theft Protection
- Dental plans
- Life and Accidental Death and Dismemberment
- Long-term disability
- Medical plans
- Short-term disability
- Vision plan
Skills/Tech-stack
AWS Bedrock | AWS SageMaker | Apache Spark | Artificial Intelligence | CI/CD | DVC | Data encryption | Docker | FedRAMP | Fine Tuning | Generative AI | Google Cloud | Google Cloud Gemini | Google Cloud Vertex | Google Cloud Vertex AI | Hugging Face | Kubeflow | Langchain | Language Models | Large Language Models | MLflow | Machine Learning | Matplotlib | NumPy | Pandas | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | SOC2 | SQL | Scikit-learn | TensorFlow | Transformers | Vertex AI
Education
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