ML Platform Architect — Build Enterprise-Grade MLOps

Fuse3 Solutions; Broken Arrow (OK); On-site; USD 112,000 - 140,000; Full time

Job summary

Fuse3 Solutions seeks a Machine Learning Developer to bridge data science innovation with enterprise-grade software engineering. You will build the organization's MLOps framework and define best practices for moving models from experimentation to production.

As the first dedicated ML Development hire, you will shape the standards, patterns, and governance for AI delivery and partner with data scientists to productionize models in the Databricks ecosystem, driving enterprise-wide AI initiatives.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related discipline
• 3 to 5 years of experience building and deploying production machine learning or data-intensive applications
• Hands-on experience with Databricks MLflow and AutoML
• Strong Python development skills with production-quality code
• Strong SQL expertise and experience with Spark or distributed data processing technologies
• Experience creating and operating MLOps processes and deployment frameworks
• Knowledge of software engineering best practices including Git, testing methodologies, CI/CD, and design patterns
• Understanding of machine learning algorithms, model evaluation techniques, and tuning methodologies
• Proven ability to collaborate across technical and business teams

Responsibilities

• Create the organization's MLOps framework and define best practices for moving models from experimentation to production
• Build reusable machine learning deployment patterns and establish the team's 'golden path' for ML development
• Partner closely with data scientists to productionize models within the Databricks ecosystem
• Design and automate CI/CD pipelines for model training, testing, deployment, and promotion across environments
• Implement governance, lineage, versioning, and lifecycle management for machine learning assets
• Develop monitoring, observability, and reliability standards for production ML solutions
• Ensure model and feature quality through validation frameworks and automated controls
• Create technical documentation, reference architectures, and engineering playbooks
• Guide technical teams through code reviews and adoption of modern ML engineering practices
• Evaluate and introduce emerging AI technologies, including Generative AI, LLM-enabled workflows, and agentic development approaches

Skills

Python development

SQL

MLOps

Git

CI/CD

Data science collaboration

Education

Bachelor's degree

Tools

Databricks MLflow

AutoML

Spark

Unity Catalog

Job description

Fuse3 Solutions seeks a Machine Learning Developer to bridge data science innovation with enterprise-grade software engineering. You will build the organization's MLOps framework and define best practices for moving models from experimentation to production.

As the first dedicated ML Development hire, you will shape the standards, patterns, and governance for AI delivery and partner with data scientists to productionize models in the Databricks ecosystem, driving enterprise-wide AI initiatives.