> Markdown version of [/jobs/ext/3608353-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/3608353-ai-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer - **Company:** TechniPros, LLC - **Location:** Chicago, IL, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Continuous Integration, Information Engineering, Graph Database, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Standard Sql, Azure Machine Learning, Software Engineering, Enterprise Software Applications, Pytorch, LangChain, Retrieval-Augmented Generation, Large Language Models, Snowflake, Apache Spark, Generative AI, Git, Pyspark, Scikit Learn, Kubernetes, HuggingFace, Machine Learning Operations, Azure AI, Docker, Databricks - **Published:** October 7, 2026 - **Apply:** https://www.dice.com/job-detail/1d812bd1-77d2-49ab-87e8-04097e9c3dd6 ## About the Role * 8+ years of AI/ML engineering experience. * Strong proficiency in Python, TensorFlow, PyTorch, and Scikit-learn. * Experience with LLMs, Generative AI, RAG, LangChain, and Vector Databases. * Knowledge of AWS or Azure AI/ML Services. * Experience with Docker, Kubernetes, Git, and CI/CD. * Strong SQL and data engineering fundamentals. Preferred Skills: * MLOps use MLflow or Kubeflow. * Apache Spark or PySpark. * Hugging Face Transformers. * Databricks and Snowflake. * Knowledge Graphs and Graph Databases. * Excellent communication and problem-solving skills. ## Description * 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 accuracy. * Collaborate with Data Engineers, Data Scientists, and software development teams.