AI Agentic/ML Cloud Consultant
Vertical Relevance
full-time
Posted on:
Location Type: Remote
Location: United States
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Tech Stack
About the role
- Enable customers to solve complex data science problems, including problem framing, data preparation, scripting, model building, deployment, and monitoring.
- Design and implement ML/AI solutions using AWS ML Services.
- Deliver ML projects end-to-end: understand business needs, aggregate and explore data, build and validate predictive models, deploy models with drift monitoring and retraining.
- Utilize AWS AI services, ML platforms, and frameworks to build scalable ML models.
- Collaborate with consultants in Big Data, IoT, Chatbot's, and HPC to prepare and label data, and with engineers to operationalize models.
- Serve as a trusted technical advisor for clients.
- Develop high-quality technical content (automation tools, reference architectures, white papers).
Requirements
- Hands-on experience building and deploying ML/AI models in AWS, GCP, Azure.
- Strong customer-facing experience in software/technology.
- PhD in Computer Science, Statistics, Machine Learning, Data Science, or Electrical Engineering.
Benefits
- Health insurance
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data preparationscriptingmodel buildingdeploymentmonitoringpredictive modelsdrift monitoringretrainingmachine learningartificial intelligence
Soft skills
customer-facing experiencecollaborationtechnical advisingcommunication
Certifications
PhD in Computer SciencePhD in StatisticsPhD in Machine LearningPhD in Data SciencePhD in Electrical Engineering