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Artificial Intelligence / Machine Learning Engineer

EXOS
1 month ago
Contract
On-site
Indianapolis, Indiana, United States
Artificial Intelligence & Machine Learning

Job Description

We are seeking an experienced Artificial Intelligence / Machine Learning Engineer to support the design, development, and implementation of advanced AI-driven solutions. This role requires strong hands-on experience building and deploying machine learning models, applying AI technologies to real-world problems, and collaborating with cross-functional teams to deliver scalable solutions.

The ideal candidate will have a strong technical background in AI development, machine learning, and data-driven application design, with the ability to quickly assess business needs and translate them into practical AI solutions.

Key Responsibilities
  • Develop proof-of-concepts (POCs) and production-ready AI applications.
  • Design, develop, and deploy AI and machine learning models to solve complex business problems.
  • Build and optimize predictive models, NLP models, and data-driven algorithms.
  • Collaborate with engineering, product, and data teams to integrate AI solutions into existing platforms and applications.
  • Evaluate datasets, perform feature engineering, and prepare data for model training and testing.
  • Monitor model performance and continuously improve accuracy and scalability.
  • Document models, architecture, and implementation approaches for maintainability and scalability.
  • Provide technical guidance on AI strategy, architecture, and best practices.
Required Qualifications
  • Strong, demonstrable experience in Artificial Intelligence development and implementation.
  • Proven machine learning experience with practical, real-world application.
  • Experience building, training, and deploying machine learning models in production environments.
  • Strong programming skills in Python, R, or similar languages.
  • Experience with ML frameworks 
  • Experience working with large datasets and data pipelines.
  • Knowledge of model evaluation, optimization, and performance tuning.
  • Strong analytical and problem-solving skills.
Preferred Qualifications
  • Experience with Natural Language Processing (NLP), Generative AI, or deep learning models.
  • Experience integrating AI with cloud platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with MLOps practices, model deployment pipelines, and containerization tools (Docker, Kubernetes).
  • Experience building AI-powered applications, automation tools, or intelligent workflows.