AI​/ML Engineer

S4 Technologies Inc. is seeking a highly skilled AI/ML Engineer to perform duties requiring the theoretical and practical application of specialized knowledge in artificial intelligence, machine learning, computer science, and data science. This position qualifies as a specialty occupation and requires a minimum of a Bachelor’s degree or higher in Computer Science, Data Science, Artificial Intelligence, Engineering, or a closely related field.

• Design, develop, and deploy machine learning models and AI solutions to solve complex business problems
• Apply knowledge of supervised and unsupervised learning algorithms, deep learning, and statistical modeling
• Build and optimize data pipelines and feature engineering processes for model training and inference
• Develop and implement natural language processing (NLP), computer vision, or predictive analytics models
• Train, evaluate, and fine-tune models using large datasets and performance metrics
• Utilize frameworks such as Tensor Flow, PyTorch, or Scikit-learn for model development
• Work with cloud-based ML platforms (AWS Sage Maker, Azure ML, GCP AI Platform)
• Deploy models into production environments and monitor model performance
• Collaborate with data engineers, software developers, and business stakeholders
• Conduct research and stay updated with the latest advancements in AI/ML technologies
• Maintain documentation related to model architecture, training data, and performance evaluation

• Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field (or foreign equivalent)
• Strong understanding of machine learning algorithms, statistics, and data structures
• Experience with programming languages such as Python or R
• Experience with ML frameworks (Tensor Flow, PyTorch, Scikit-learn)
• Knowledge of data preprocessing, feature engineering, and model evaluation techniques

• Experience with deep learning, NLP, or computer vision
• Familiarity with big data technologies (Spark, Hadoop)
• Experience with cloud platforms (AWS, Azure, or GCP)
• Knowledge of MLOps and model deployment pipelines
• Experience with Docker, Kubernetes, or containerization tools

• Primary work location:
  Wixom, MI
• Employee may be assigned to client locations or hybrid environments based on business needs