Machine Learning Engineer
Listed on 2026-10-31
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Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Vertex Prime LLC, a tech company in Albuquerque, NM, seeks a Machine Learning Engineer for a position. The role involves developing and deploying machine learning models to address real-world challenges. Salary is negotiable, and the position is open until November 23, 2026.
As a Machine Learning Engineer, you will develop predictive models and implement machine learning algorithms. You will work with cross-functional teams to understand business needs and convert them into technical solutions. You will utilize the latest tools and technologies in the field.
You will be part of a team in Albuquerque, NM, working in a workplace that values innovation and collaboration. The city offers a unique blend of natural beauty and a vibrant tech community.
The salary is negotiable, and the benefits package includes comprehensive health insurance that covers a wide range of medical services, retirement plans with employer matching contributions, and various professional development opportunities such as workshops, training programs, and access to online courses and certifications. Additionally, the company offers flexible work arrangements and a supportive work environment that encourages work-life balance.
- Develop and implement machine learning models to solve complex problems
- Collaborate with data scientists, software engineers, and product managers to understand business needs and translate them into technical solutions
- Design, build, and maintain machine learning pipelines and infrastructure
- Optimize machine learning models for performance, scalability, and accuracy
- Stay up-to-date with the latest advancements in machine learning and AI, and apply this knowledge to your work
- Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
- 2+ years of experience in machine learning engineering
- Strong programming skills in Python or R
- Experience with machine learning frameworks such as Tensor Flow, PyTorch, or scikit-learn
- Knowledge of cloud platforms such as AWS or GCP is a plus
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