AI ML Engineer

4 weeks ago


Birmingham, United States MAU Workforce Solutions Full time
Expand your professional career as a AI/ML Research Engineer. Our client is a cutting-edge technology company committed to leveraging artificial intelligence and machine learning to drive innovation and informed decision-making. We are seeking an experienced AI/ML Research Engineer to join our dynamic team.

REQUIREMENTS
  • Bachelor's degree in Computer Science, Data Science, or a related field; advanced degree is a plus
  • Proven experience in AI and ML, demonstrating a track record of successfully applying predictive analytics techniques to real-world problems
  • Familiarity with Azure AI is advantageous but not mandatory Experience with Azure Machine Learning Operations (MLOps) is a plus
  • Proficient in Python, and experience with popular ML frameworks like TensorFlow or PyTorch is desirable
  • Solid experience in working with AI and ML, with a focus on predictive analytics and utilizing various machine learning or artificial intelligence models
  • Familiarity with MLOps, and experience in incorporating it into the AI/ML workflow is a plus
  • Knowledge of Azure AI is advantageous, especially experience with Azure Machine Learning Operations (MLOps)
  • Proficiency in Python is essential, and experience with popular frameworks such as TensorFlow or PyTorch is a strong plus
  • Passion for leveraging AI and ML to unlock insights from data
  • Strong analytical and problem-solving skills
  • Excellent communication and collaboration abilities
  • Ability to adapt to evolving technologies and industry best practices
RESPONSIBILITIES
  • Utilize AI and ML models to analyze and interpret complex datasets, enabling the company to make data-driven decisions and enhance predictive analytics
  • Work collaboratively with cross-functional teams to implement AI and ML solutions that improve data understanding and decision-making processes
  • Employ predictive analytics techniques to enhance the company's ability to forecast and respond to evolving trends
  • Explore and implement state-of-the-art machine learning algorithms to extract meaningful insights from diverse datasets
  • Collaborate with data scientists, engineers, and other stakeholders to design, develop, and deploy machine learning models
  • Perform other tasks as assigned

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