Mid-level Machine Learning Engineer | ONSITE | DFW
Dallas, Texas
Onsite
Full Time
$120k - $160k
Applicants must be currently authorized to work in the United States on a full-time basis, now and in the future.
As a consulting firm, we are looking for a highly talented and flexible mid-level Machine Learning Engineer. In this role, you will be responsible for taking machine learning models from prototype to production, building scalable infrastructure, and ensuring the reliable deployment of ML-powered products for our clients.
You will work closely with data scientists, engineers, and consultants—including on real-time and stream-processing systems—to design and deliver production-grade Machine Learning (ML) solutions. You will also collaborate with client stakeholders to build robust, maintainable, and scalable systems that operate reliably in both batch and streaming environments.
Location
This position is hybrid, with in-office reporting four days per week in Dallas, TX.
Required Skills & Experience
Desired Skills & Experience
Compensation
Benefits
As a consulting firm, we are looking for a highly talented and flexible mid-level Machine Learning Engineer. In this role, you will be responsible for taking machine learning models from prototype to production, building scalable infrastructure, and ensuring the reliable deployment of ML-powered products for our clients.
You will work closely with data scientists, engineers, and consultants—including on real-time and stream-processing systems—to design and deliver production-grade Machine Learning (ML) solutions. You will also collaborate with client stakeholders to build robust, maintainable, and scalable systems that operate reliably in both batch and streaming environments.
Location
This position is hybrid, with in-office reporting four days per week in Dallas, TX.
Required Skills & Experience
- Build and maintain CI/CD pipelines for ML workflows and deployments
- Strong experience with version control systems (Git)
- Develop APIs and services that integrate ML models into client products
- Design and build scalable ML infrastructure to support training, deployment, and monitoring
Desired Skills & Experience
- Experience with cloud platforms (AWS, GCP, or Azure)
- Familiarity with data processing tools (e.g., Pandas, NumPy, Spark)
- Exposure to large-scale or real-time ML systems
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Compensation
- Annual performance-based bonus
Benefits
- Medical insurance
- Dental benefits
- Vision benefits
- Paid Time Off (PTO)
- 401(k)