The Machine Learning / AI Engineer is responsible for designing, building, and operationalizing machine learning models and AI-powered solutions that drive measurable business value across mSupply's plumbing, appliance, and HVAC distribution operations.

Company: mSupply

Role: Machine Learning Engineer| AI - US

Location: REMOTE

Experience:

3+ years of experience in machine learning engineering, MLOps, or applied AI engineering roles with production deployments

Key Skills:

Python
ML libraries such as scikit-learn, XGBoost, LightGBM, PyTorch, or TensorFlow
MLOps pipelines
SQL
REST API development
Microsoft Fabric
dbt
Power BI
Azure Machine Learning
Azure OpenAI Service

Qualification:

Bachelor's degree in Computer Science, Software Engineering, Mathematics, Statistics, Data Science, or a related quantitative field

Role Focus:

Design, develop, and deploy machine learning models and AI features into production environments
Build and maintain MLOps pipelines
Develop and operationalize AI-powered solutions relevant to distribution operations
Package and serve models via REST APIs, batch inference pipelines, or embedded integrations within the Microsoft Fabric and Azure ecosystem
Implement model monitoring and alerting frameworks
Design and build applications using large language models (LLMs) and generative AI
Integrate Azure OpenAI Service and related Azure AI services into data platform workflows and business-facing applications
Apply responsible AI practices

Additional responsibilities:

Collaborate with Data Engineers to design and build feature stores and curated feature pipelines
Partner with Data Scientists on model research and experimentation
Work with Business Product Owners and functional stakeholders across HVAC, plumbing, and appliance business units to define ML use cases
Participate in Agile ceremonies
Communicate model performance, limitations, and trade-offs clearly to both technical and non-technical audiences

Nice to have:

Experience with Microsoft Fabric, Azure Synapse Analytics, or Azure OpenAI Service
Hands-on experience with LLMs, RAG architectures, vector databases, and prompt engineering
Experience with dbt or similar transformation frameworks in a medallion architecture
Background in wholesale distribution, supply chain, HVAC, plumbing, or related industrial B2B sectors
Familiarity with forecasting frameworks such as Prophet, NeuralProphet, or Nixtla
Experience with feature stores and data-centric AI practices
Knowledge of responsible AI, model explainability, and fairness evaluation
Familiarity with Agile delivery methodologies and working within a product-oriented team model

Other:

Comprehensive benefits package including medical, dental, vision, and prescription coverage
401(k) plan with company contributions
Life insurance and short-term disability coverage
HSA/FSA options and an Employee Assistance Program (EAP)
Paid time off, including vacation, holidays, and personal days
Weekly pay, employee discounts

Machine Learning Engineer

Skills Required

Description