AI Engineer

VMLY&R•Kansas City, MO

32d•Hybrid

About The Position

We are looking for a highly skilled and innovative Machine Learning Engineer with experience in leading ML projects and ensuring the security and robustness of AI-driven solutions. The ideal candidate will have expertise in designing, developing, and deploying machine learning models to solve complex business and security-related challenges. You will collaborate with data scientists, software engineers, and product teams to build scalable, production-ready ML pipelines.

Requirements

PhD or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
Strong programming skills in Python, R, or Java.
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
Expertise in anomaly detection and security-related machine learning applications.
Experience with cloud platforms like AWS, Google Cloud, or Azure.
Knowledge of MLOps, model deployment, and CI/CD pipelines.
Familiarity with databases and big data technologies such as SQL, Spark, or Hadoop.
Strong problem-solving, analytical, and leadership skills.
Excellent communication and collaboration abilities.

Nice To Haves

Experience with deep learning, NLP, or computer vision.
Knowledge of adversarial machine learning and security in AI systems.
Background in telecommunications, finance, or cybersecurity-related ML applications.
Understanding of Agile methodologies and software engineering best practices.

Responsibilities

Lead the design, development, and deployment of machine learning models for various applications, including security and anomaly detection.
Research and develop techniques to ensure the security and robustness of ML models against adversarial attacks.
Work on large-scale data analysis and feature engineering to optimize ML model performance.
Develop and maintain ML pipelines for training, validation, deployment, and monitoring.
Collaborate with cross-functional teams, including software engineers and researchers, to integrate ML models into production systems.
Conduct A/B testing and model evaluations to enhance model performance.
Stay up to date with the latest advancements in AI, ML, and security-related research.
Mentor junior engineers and researchers in machine learning best practices and development.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume