ML Developer

Insight Global; Dallas (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Insight Global is seeking a Machine Learning (ML) Developer in Dallas, TX to establish development practices and platform foundations that move models from experimentation into production. You will work primarily within the Databricks ecosystem to define how models are built, tracked, deployed, and monitored.

You will collaborate with data science and engineering teams to ensure objectives are met, implement MLOps workflows, and promote governance through tools like Unity Catalog and MLflow.

Qualifications

• Bachelor’s degree in CS, DS, Engineering or related field.
• 3–5 years of hands-on ML in production environments.
• Strong Python and tested production code discipline.
• MLflow, AutoML, and MLOps workflow experience.

Responsibilities

• Establish ML development practices, standards, and platform foundations.
• Define model build, tracking, deployment, and monitoring processes.
• Collaborate with data science and engineering teams to meet objectives.

Skills

Python

SQL

Databricks

MLflow

AutoML

MLOps

CI/CD

Git

Spark

Communication

Teamwork

Model governance

Education

Bachelor’s Degree in CS/DS/Engineering

Master’s Degree in related field

Tools

Databricks

Spark

Unity Catalog

Git

CI/CD pipelines

Job description

Job Description

The Machine Learning (ML) Developer is the first dedicated ML Development role in the department and is responsible for establishing the development practices, standards, and platform foundations that move machine learning models from experimentation into reliable, governed production. Working primarily within the Databricks ecosystem, the ML Developer will define how models are built, tracked, deployed, and monitored, and will coordinate with data science teams and technical professionals across the organization to ensure company objectives and goals are met.

Skills and Requirements

Bachelor’s Degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related fieldMust have hands-on experience with Databricks MLflow and AutoMLThree (3) to five (5) years of hands-on experience building, deploying, and operating machine learning or data-intensive systems in productionStrong proficiency in Python as a primary engineering language, with experience writing tested, maintainable production codeStrong SQL skills and working knowledge of Spark or other distributed data processing frameworksPractical experience establishing or operating an MLOps workflow, including model deployment, pipeline automation, monitoring, and lifecycle managementSoftware engineering fundamentals including version control (Git), unit testing, CI/CD, and common design patternsAbility to explain the intuition behind common ML algorithms and follow model training, evaluation, and hyperparameter tuning best practicesStrong interpersonal, analytical, and communication skills, with the ability to work effectively across data science, engineering, and business teamsExperience with Unity Catalog for model governance, lineage, and controlled promotion of ML assetsDatabricks certification (e.g., Databricks Certified Machine Learning Associate or Professional)Master’s Degree in a related fieldFamiliarity with cloud data platforms, infrastructure-as-code, containerization and orchestrationExposure to LLM/GenAI application patterns such as RAG and evaluation harnesses, and to agentic or AI-assisted development workflowsExperience mentoring or training data scientists on engineering best practicesAbility to operate both independently and as part of a teamSelf-starter requiring minimal supervision with strong organizational and time management skills

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].