AI Strategy Corporation is seeking creative and organized engineers to join our team to assist in development of our flagship platform, 9-HI™. 9-HI™ is an AI-driven decision support platform that enables users to standardize their technology development and investment efforts with unique quantified scores.

Check out this video and our LinkedIn page to learn more about who we are and what we’re building!


Salary: $120,000 – $130,000/year (based on relevant experience)

Location: Remote

What you’ll do:


  •       Deploy, scale, and manage our next generation of real time proprietary AI models which will provide advanced decision guidance to millions of development projects
  •       Build and manage data infrastructure to support the 9-HI™ Platform and AI Agents
  •       Help productionize and monitor ML models in Azure
  •       Own the ML Development Lifecycle and manage the transition from design to production
  • Own and maintain our Azure AI Environments, platform, pipelines, and additional Azure Services
  • Develop software to automate retraining/redeployment, monitor for model drift, and implement Champion/Challenger Model Framework
  • Develop our AI Team CI/CD Pipeline and Test Process
  • Assist with the Build Out of our Data Lake, Data Warehouse, and ETL Pipelines
  • Build new tools/scripts to feed to our data pipelines and model training (i.e.: External Data Ingestion Engine, Web Scrapers, Email Campaign/Mailer, Algorithm to extract metadata of top 9-HI™ Topics)
  • Participate in the engineering life cycle, which includes: designing high-quality ML infrastructure and data pipelines, writing production code, conducting code reviews, and working alongside our Backend and Product Design teams

Required Qualifications:

  • 3+ years of engineering experience
  • Must be authorized to work in the United States (must be a U.S. citizen/Green Card holder)
  • Bachelor’s in Computer Science or a related field of study
  • Ability to effectively communicate complex concepts to stakeholders with various backgrounds in a clear and concise manner
  • Azure Cloud Experience (Machine Learning, DevOps, SQL Server, AKS, Functions, Blob Storage, Data Lake, Data Warehouse, Redis Cache 
  • Webservice Experience (APIs/Endpoints, Webhooks, Functions/Lambda, etc.)
  • Experience building and using Data Engineering Services like: ETL, Data Lakes, Data Warehouses, Caching, and Databases
  • Ability to build and scale robust Machine Learning Pipelines in Azure
  • Strong Software Engineering Skills with Python/SQL & experience with common Software Engineering Practices like: Version Control, CI/CD, The Software Engineering Lifecycle, Scrum, Testing, etc.
  • Experience with Python Stack (Pandas, NumPy, Flask, Jupyter, etc.)
  • Experience building containerized packages with Docker/Kubernetes/AKS
  • Some machine learning experience (Data Preparation/Processing, Feature Engineering, Model Building, Transfer Learning) and familiarity with at least one ML Frameworks like: TensorFlow, Keras, or PyTorch
  • Experience interacting with REST and/or GraphQL API(s) for both retrieving data and delivering results
  • Familiar with Transformers, Neural Networks, and Time Series Models is a plus
  • Familiar with deploying advanced research and production models to serve millions of users


Benefits:

  •       Competitive base salary, plus equity stake in the company (after equity investment round)
  •       Flexible working hours: 20 core hours (from 10 AM to 2 PM EST) and 20 flex hours
  •       20 days of paid time off (PTO) and 11 paid company holidays
  •       We offer comprehensive medical, dental and vision insurance plans
  •       Save for planned or unplanned medical expenses through our Health Savings Account (HSA)
  •       Save for retirement through our 401(k) plan with company matching
  •       Assistance/reimbursement for approved expenses related to continuing education, career development, licenses/certifications, etc.