Machine Learning Engineer, Federal

WerQ AI is at the forefront of leveraging artificial intelligence to redefine workplace efficiency and effectiveness. We are seeking a Machine Learning Engineer specializing in Federal projects to join our innovative team. In this role, you will work closely with government agencies to design, implement, and optimize machine learning models that address critical challenges in various sectors. You will have the opportunity to contribute to impactful projects while ensuring compliance with federal regulations and standards. Your technical expertise will play a crucial role in delivering adaptive and scalable solutions that meet the specific needs of our federal partners. If you are passionate about machine learning and eager to make a difference in the public sector, we encourage you to apply and join our mission-driven team.

Responsibilities

• Design, develop, and maintain machine learning models to solve complex problems for federal clients.
• Collaborate with data scientists, analysts, and stakeholders to gather requirements and refine project objectives.
• Implement best practices for model validation, data preprocessing, and performance metrics.
• Optimize existing models for efficiency, scalability, and accuracy in real-world applications.
• Ensure adherence to federal regulations and standards throughout the model development lifecycle.
• Document implementation processes, methodologies, and findings for compliance and knowledge sharing.
• Stay informed about the latest advancements in machine learning and AI technologies to drive innovation within federal projects.

Requirements

• Bachelor's degree in Computer Science, Data Science, or a related field; a Master's degree is a plus.
• 3+ years of experience in machine learning engineering or related roles, preferably with federal government projects.
• Proficient in programming languages such as Python or R, along with experience in ML libraries (e.g., Scikit-learn, TensorFlow).
• Strong understanding of machine learning algorithms, data modeling, and statistical analysis.
• Familiarity with federal compliance standards and experience in handling government data.
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Strong analytical and problem-solving skills, with the ability to communicate technical concepts to non-technical stakeholders.