Machine Learning Developer

Inceed; Dallas (TX); On-site; USD 112,000 - 140,000; Full time

Job summary

Inceed partners with a Dallas‑based team to hire a hands‑on Machine Learning Developer. You will move models from experimentation into reliable production, building scalable MLOps processes and collaborating with data science, engineering, and business teams to deliver impactful ML solutions.

This onsite role in Dallas offers a competitive package with responsibilities spanning model deployment, monitoring, and lifecycle management, plus a compensation range of $112,000–$140,000 annually based

Qualifications

• Bachelor’s degree in a related technical field.
• Hands‑on experience with Databricks MLflow and AutoML.
• Three to five years of production ML or data systems experience.
• Strong Python development skills with tested, maintainable code.
• Strong SQL skills and working knowledge of Spark.
• Experience with MLOps workflows and model lifecycle management.
• Solid understanding of Git, unit testing, and CI/CD.
• Ability to explain ML concepts and model tuning practices.

Responsibilities

• Build MLOps standards and reusable production pipeline patterns.
• Productionize models using Databricks tools and workflows.
• Design CI/CD pipelines for model training and deployment.
• Manage model tracking, registration, versioning, and lineage.
• Implement monitoring, validation, and operational observability.
• Strengthen data and feature quality through schema checks.
• Create documentation, reference guides, and playbooks.
• Partner with teams to align requirements and drive adoption.

Skills

Python development

SQL proficiency

Git & CI/CD

MLOps concepts

Explain ML concepts

Education

Bachelor’s degree in a related technical field

Tools

Databricks MLflow

AutoML

Spark

Unity Catalog

Containerization tools

Databricks certification (ML)

Job description

Compensation: $112,000 - $140,000 annually, depending on experience

Inceed has partnered with a great company to help find a skilledMachine Learning Developerto join their team!

This is a standout opportunity for a hands-on ML professional to build the foundations of a modern machine learning delivery practice. In this role, you’ll help move models from experimentation into reliable production, working closely with data science, engineering, and business teams to create scalable MLOps processes. If you enjoy defining standards, improving delivery workflows, and shaping how machine learning gets deployed and monitored, this role offers high visibility and real impact.

Key Responsibilities & Duties:

• Build MLOps standards and reusable production pipeline patterns
• Productionize models using Databricks tools and workflows
• Design CI/CD pipelines for model training and deployment
• Manage model tracking, registration, versioning, and lineage
• Implement monitoring, validation, and operational observability
• Strengthen data and feature quality through schema checks
• Create documentation, reference guides, and playbooks
• Partner with teams to align requirements and drive adoption

Required Qualifications & Experience:

• Bachelor’s degree in a related technical field
• Hands‑on experience with Databricks MLflow and AutoML
• Three to five years of production ML or data systems experience
• Strong Python development skills with tested, maintainable code
• Strong SQL skills and working knowledge of Spark
• Experience with MLOps workflows and model lifecycle management
• Solid understanding of Git, unit testing, and CI/CD
• Ability to explain ML concepts and model tuning practices

Nice to Have Skills & Experience:

• Experience with Unity Catalog and governed model promotion
• Databricks certification in machine learning
• Master’s degree in a related field
• Exposure to cloud data platforms and infrastructure‑as‑code
• Experience with containerization or orchestration tools
• Familiarity with RAG or GenAI application patterns
• Experience mentoring others on engineering best practices
• Comfort working independently with strong organization skills
• Comprehensive benefits package, including medical, dental, and vision coverage
• 401(k) match of 10% fully vested on date of hire
• Bonus and stock options
• Generous PTO based on verified industry experience
• 12 paid holidays and 20 work‑from‑home days
• HSA employer contribution of $1,400
• Employee assistance program and disability coverage

Other Information:

• Monday through Thursday schedule is nine hours per day
• Friday follows a shorter four‑hour schedule
• Role is based onsite in Dallas
• Our client is unable to provide sponsorship at this time

We are Inceed, a staffing direct placement firm who believes in the possibility of something better. Our mission is simple: We’re here to help every person, whether client, candidate, or employee, find and secure what’s better for them.

Inceed is an equal opportunity employer. Inceed prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.