AI​/ML Engineer – St. Louis, MO​/Belleville, IL​/Paducah, KY​/Evansville, IN​/Charlotte, NC

Job Title

AI/ML Engineer

St. Louis, MO / Belleville, IL / Paducah, KY / Evansville, IN / Charlotte, NC

Can do Only W2, No C2C

• We are seeking an experienced AI / ML Engineer to design, develop, and deploy advanced Artificial Intelligence and Machine Learning solutions.
• The ideal candidate should possess strong expertise in machine learning algorithms, model development, data processing, and AI frameworks.
• This role involves building scalable AI applications, optimizing models, and collaborating with cross-functional teams to deliver innovative solutions.

• Design, develop, and deploy AI and Machine Learning solutions.
• Build and optimize predictive and analytical models.
• Develop data pipelines and preprocess structured and unstructured datasets.
• Train, evaluate, and fine-tune machine learning models.
• Implement deep learning and natural language processing solutions where applicable.
• Integrate AI models into enterprise applications and production environments.
• Collaborate with data engineers, software developers, and business stakeholders.
• Perform model validation, testing, and performance optimization.
• Monitor deployed models and improve accuracy and efficiency.
• Document technical solutions and maintain best practices throughout the development lifecycle.

• Strong experience in Artificial Intelligence (AI) and Machine Learning (ML).
• Experience with machine learning model development and deployment.
• Proficiency in Python programming.
• Experience with machine learning libraries such as Tensor Flow, PyTorch, and Scikit-learn.
• Knowledge of deep learning techniques and algorithms.
• Experience with data analysis and feature engineering.
• Familiarity with model training, validation, and performance tuning.
• Experience with SQL and data manipulation.
• Understanding of cloud platforms and AI deployment architectures.
• Strong problem-solving and analytical skills.

• Experience with Natural Language Processing (NLP).
• Experience with Generative AI and Large Language Models (LLMs).
• Knowledge of MLOps methodologies and tools.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Experience with Docker and Kubernetes.
• Familiarity with CI/CD processes and Dev Ops practices.
• Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field.

• Excellent verbal and written communication skills.
• Strong analytical and troubleshooting abilities.
• Ability to work independently and collaboratively.
• Strong stakeholder management and teamwork skills.
• Self-motivated with strong ownership and accountability.
• Ability to manage multiple priorities in a fast‑paced environment.

• Artificial Intelligence (AI)
• Machine Learning (ML)
• Python
• Tensor Flow
• Py Torch
• Scikit-learn
• Model Development
• Model Training and Validation
• Feature Engineering
• Data Analysis
• SQL
• Deep Learning
• Machine Learning Algorithms
• Model Deployment