Senior AI/ML Engineer

QTech • Chicago, MI

4d • Onsite

About The Position

We are seeking an experienced Senior AI/ML Engineer to design, develop, and deploy enterprise-scale Artificial Intelligence and Machine Learning solutions. The ideal candidate will possess strong expertise in Python, TensorFlow, PyTorch, Scikit-learn, Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), LangChain, Vector Databases, and cloud AI services on AWS or Azure. This role involves building scalable machine learning pipelines, deploying production-grade AI models, optimizing model performance, and collaborating with cross-functional teams to deliver innovative AI-driven solutions.

Requirements

• Python
• TensorFlow
• PyTorch
• Scikit-learn
• Large Language Models (LLMs)
• Generative AI
• Retrieval-Augmented Generation (RAG)
• LangChain
• Vector Databases
• AWS AI/ML Services or Azure AI/ML Services
• SQL
• Data Engineering Fundamentals
• Docker
• Kubernetes
• Git
• CI/CD
• Machine Learning Pipelines
• Data Preprocessing
• Model Deployment
• NLP

Nice To Haves

• Experience with MLflow or Kubeflow.
• Experience with Apache Spark or PySpark.
• Experience using Hugging Face Transformers.
• Experience with Databricks and Snowflake.
• Knowledge of Knowledge Graphs and Graph Databases.
• Experience implementing enterprise MLOps solutions.
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Responsibilities

• Design, develop, and deploy AI/ML models for enterprise applications.
• Build scalable machine learning pipelines and data preprocessing workflows.
• Develop and optimize LLM, NLP, and Generative AI solutions.
• Integrate AI models with cloud platforms and production systems.
• Monitor model performance, retrain models, and improve model accuracy.
• Build scalable inference pipelines and support production AI deployments.
• Collaborate with Data Engineers, Data Scientists, and Software Development teams.
• Participate in model evaluation, testing, documentation, and continuous improvement initiatives.
• Follow MLOps best practices for model deployment, monitoring, and lifecycle management.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree