Senior ML Engineer – Deployment and Databricks MLOps

# Senior ML Engineer – Deployment and Databricks MLOps Apply
** Job#: 3035363
***
* Job Description:

** Senior ML Engineer – Deployment and Databricks MLOps
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* Location:

** Austin, Texas (Onsite)  
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* Employment Type:

** Contract

Role Overview We are looking for a hands-on Senior ML Engineer to help product ionize machine learning solutions for manufacturing use cases involving deployment and pipeline buildout. This role will focus on model operationalization, data pipelines, and CI/CD to transition projects from proof of concept to production-ready delivery. The position is central to hardening Databricks-based MLOps infrastructure and promoting models into operational use.

Key Responsibilities
* Productionize machine learning models developed by the data science team for manufacturing applications.
* Design, build, and maintain reusable ML workflows for data preparation, feature engineering, model training, evaluation, deployment, and inference.
* Build and operationalize ML pipelines in Databricks to support training, validation, batch scoring, and deployment workflows.
* Implement and maintain CI/CD pipelines for ML code, data pipelines, and model promotion using Git-driven development practices.
* Establish model lifecycle controls using MLflow and Unity Catalog, including experiment tracking, model registration, versioning, and controlled promotion across environments.
* Manage Databricks jobs and workflows for retraining, scoring, orchestration, and scheduled execution.
* Collaborate across ML, data engineering, cloud, and manufacturing stakeholders to ensure deployed solutions are scalable and supportable.

Required Qualifications
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* Education:

** Bachelor’s, Master’s, or equivalent experience in Computer Science, Data Science, Engineering, or a related technical field.
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* Experience:

** Experience deploying machine learning models into production environments and working across model development, deployment, and operational support in cross-functional environments.
** Technical

Skills:

** Strong software engineering skills in Python; experience with Databricks, including jobs/workflows, repos, and MLflow; experience building CI/CD pipelines for ML or data products; understanding of data pipelines, feature engineering, and batch processing.

Preferred Qualifications
* Experience with manufacturing, industrial IoT, quality, or plant-floor analytics use cases.
* Experience with model governance, lineage, reproducibility, and controlled promotion of ML assets.
* Experience designing resilient ML pipelines that can handle changing upstream data conditions.
* Familiarity with model monitoring, validation checks, and operational observability.
* Experience supporting the transition from PoC or R&D models into production-ready solution patterns.

Compensation & Benefits Pay Rate: $75.00/hr - $120.00/hrWe are an equal opportunity employer and welcome applications from all qualified candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Apex uses a virtual recruiter as part of the application process.  for more details.

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* Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package.

Our commitment to excellence is reflected in many awards, including Clearly Rated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click
* * here
* * for more details.
**** Everforth Apex Benefits Overview:
** Everforth Apex offers a range of supplemental benefits, including medical, dental, vision,…