Azure AI/ML Ops Engineer

AI Machine Learning EngineerIntroduction:An AI Machine Learning Engineer designs, builds, and deploys predictive models and intelligent systems, bridging software engineering with data science to automate tasks and solve complex business problems. They work with large datasets, train algorithms using Python, SQL, and cloud platforms. Responsibilities:Design and develop machine learning models and algorithmsCollect and analyze large sets of dataUtilize cloud computing platforms for model training

Role: AI ML Engineer / NLP Analyst Location: Remote(Dallas TX) Must Have: Candidates coming from good collages with having 1 degree in data science or AI MLCandidates from top banks or top high-tech companies like FAANGRequired Skills & Qualifications: Strong knowledge of Machine Learning, Deep Learning, and NLP conceptsHands-on experience with Python and ML libraries (TensorFlow, PyTorch, Scikit-learn, Hugging Face, etc.)Experience with NLP techniques such as tokenization, embeddings, transform

Role Summary This position involves developing and implementing advanced AI and machine learning solutions to support mission-critical systems across healthcare, defense, and regulatory sectors. The AI/ML Engineer will work on designing, deploying, and maintaining scalable data-driven applications that enhance decision-making processes. The role requires collaboration across technical teams to ensure reliable, secure, and efficient AI integrations within complex environments. Responsibilities Un

AI Solutions Architect / Azure AI ArchitectWe are seeking a highly experienced AI Solutions Architect to lead the design and delivery of enterprise-scale, AI-powered applications on Microsoft Azure. This role will define architecture strategy, design scalable AI systems, and guide full-stack development teams in building secure, high-performance AI solutions. The ideal candidate blends deep expertise in Azure AI services, Microsoft Copilot, AI/ML, and full-stack engineering with strong leadershi