Job Summary:Experience with 12+ experience and Design, develop, and deploy Machine Learning and AI models to solve business problems and integrate them into production systems. Key Responsibilities: Build and deploy ML/DL models. Develop end-to-end ML pipelines. Perform data preprocessing, feature engineering, and model tuning. Deploy models using MLOps practices. Collaborate with data and software teams. Required Skills: Strong Python programming. Experience with TensorFlow / PyTorch / Scikit-l

Job Title: AI / ML Engineer Location: Dallas, TX or Memphis, TN Hybrid Duration: 6+ Months Job Description Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution and developing AI applications using LLMs, RAG (Retrieval-Augmented Generation), and particularly agentic AI solution. Coul

Job Description What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously tur

Johnson Controls International (JCI) is looking for a Machine Learning / Platform Engineer to join our growing AI and Data Platform team. This role is pivotal in enabling enterprise-scale ML and generative AI capabilities by building secure, scalable, and automated infrastructure on Azure using Terraform and Azure DevOps. You'll work at the intersection of ML, DevOps, and cloud engineering-building the foundation that supports real-time LLM inference, retraining, orchestration, and integration