3–5 MUST HAVES
- Advanced Python & SQL
- Mathematics, Statistics & Applied Machine Learning
- End-to-End ML Development & Production Deployment
- Data Engineering & Production Integration
- Exceptional Communication & Consultative Problem Solving
Ideal Persona
Applied Machine Learning Engineer with strong mathematical and statistical foundation.
High proficiency in Python/SQL, and demonstrated end-to-end ML ownership
Required skillsets:
- Strong Python and SQL
- Applied statistical and machine-learning experience
- Experience moving models from experimentation into a repeatable production workflow
- Data-pipeline and API integration experience
- Cloud ML experience, preferably Azure/Azure ML
- Ability to work effectively with technical and non-technical stakeholders (absolute 100% requirement; must communicate well)
- Preferred: Some familiarity with Git, testing, CI/CD, containers, and model monitoring (we have Cloud Architects that can help with these)
Preferred Experience
- Geospatial data
- Weather or environmental data
- Time-series
- Computer vision
- Scientific products
Potential projects could involve:
- Historical weather datasets.
- Demand forecasting.
- Risk modeling.
- Effects of time, seasonality, and environmental variables on demand and risk.
- Exploring image data for potential computer-vision applications.
Rate:
Not specified
Location:
Remote
IR35 Status:
Outside
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Not Specified