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Machine Learning Engineer
Machine Learning Engineerinnovitusa • Denver, CO, Colorado, USA
No longer accepting applications
Machine Learning Engineer

Machine Learning Engineer

innovitusa • Denver, CO, Colorado, USA
30+ days ago
Job type
  • Full-time
Job description

Hiring : W2 Candidates Only

Visa : Open to any visa type with valid work authorization in the USA

Summary

A Machine Learning Engineer is responsible for designing, building, and deploying predictive models and AI-driven solutions that support business objectives. This role focuses on developing scalable machine learning systems, optimizing model performance, and integrating intelligent solutions into production applications.

Key Responsibilities

  • Design, develop, and implement machine learning models and AI solutions for real-world business use cases.
  • Train, test, and evaluate models using large, complex datasets to ensure accuracy and reliability.
  • Collaborate with data scientists, data engineers, and software developers to build end-to-end ML pipelines.
  • Optimize algorithms and workflows for performance, scalability, and cost efficiency.
  • Deploy machine learning models into production environments using MLOps best practices.
  • Monitor model performance, drift, and accuracy; retrain and fine-tune models as needed.
  • Build and maintain feature engineering pipelines and data preprocessing workflows.
  • Document models, assumptions, architectures, and methodologies for transparency and reproducibility.
  • Research, evaluate, and apply emerging machine learning techniques, tools, and frameworks.
  • Ensure compliance with ethical AI standards, data privacy policies, and regulatory requirements.
  • Integrate ML solutions with enterprise applications, APIs, and cloud platforms.
  • Conduct A / B testing and experimentation to validate model effectiveness.
  • Troubleshoot model failures and collaborate with engineering teams to resolve production issues.
  • Support automation and intelligent decision-making across business processes.
  • Provide technical guidance on best practices for developing, deploying, and maintaining ML systems.
  • Mentor junior engineers and contribute to team knowledge sharing and innovation.

Qualifications

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Artificial Intelligence, or a related field.
  • 3-5 years of hands-on experience in machine learning, AI, or advanced analytics roles.
  • Proficiency in Python, R, and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Strong foundation in statistics, probability, and linear algebra.
  • Experience working with large datasets and building production-grade ML systems.

Preferred Skills / Duties

  • Knowledge of natural language processing (NLP), computer vision, deep learning, or reinforcement learning.
  • Experience with cloud-based ML platforms and services (AWS SageMaker, Azure ML, Google AI Platform).
  • Familiarity with MLOps tools for model deployment, monitoring, and versioning.
  • Ability to translate complex business problems into effective machine learning solutions.
  • Strong communication, collaboration, and stakeholder engagement skills.
  • Experience with data pipelines, feature stores, and model lifecycle management
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Machine Learning Engineer • Denver, CO, Colorado, USA

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