Machine Learning Engineer (AI)

Location: Remote within the United States; the posting also references Frisco / North Dallas, Texas.

Salary: $115,000–$165,000 annually

Company

hirify.global is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

What you will do

• Prepare datasets, engineer features, and build reproducible training and validation pipelines.
• Develop, tune, and evaluate classification, regression, ranking, and forecasting models.
• Implement model-serving components and integrate inference workflows with APIs, application services, and data platforms.
• Track model performance, investigate drift or quality degradation, and recommend retraining or improvements.
• Document experiments, assumptions, evaluation results, and implementation decisions for engineering stakeholders.

Requirements

• 5+ years of experience in machine learning engineering, applied data science, or related production model development.
• Strong Python skills and practical experience with scikit-learn, pandas, NumPy, or equivalent tools.
• Understanding of supervised and unsupervised learning, model evaluation, feature engineering, and statistical fundamentals.
• Experience with at least one deep-learning framework, such as PyTorch or TensorFlow, where relevant to the project.
• Experience building reproducible data and model pipelines and managing code through Git.
• Ability to deploy or integrate model inference into APIs, batch workflows, or application services.
• Strong analytical reasoning, experimentation discipline, and communication of model trade-offs.
• Experience working in iterative software delivery teams, including planning, defect triage, and release validation as appropriate to the assignment.
• Applicants must be U.S. Citizens, Green Card holders, EAD holders, or H-1B transfer candidates; new H-1B visa petitions cannot be sponsored.

Nice to have

• Experience with distributed training, feature stores, experiment tracking, or model registries.
• Exposure to cloud machine learning services and containerized deployment.
• Familiarity with model explainability, bias evaluation, and production monitoring.
• Relevant machine learning or cloud platform certification.

Culture & Benefits

• Full-time direct W2 employment; C2C and 1099 arrangements are not accepted.
• Remote work opportunity within the United States.
• Collaborative environment with opportunities for professional growth.
• Equal employment opportunity is provided without discrimination based on protected characteristics.

Hiring process

• Send a resume to Jenny@bvteck.com or contact Jennifer at (908) 505-3544 for immediate consideration.