AI/ML 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

Job Details: Title: AI/ML EngineerLocation: RemoteDuration: 6-12 Months Contract Job Description:This role is an AI/ML Engineer focused on GenAI, RAG, and Agentic AI, built Azure-first. Azure isn t just the hosting environment; it s the backbone of how the solution is designed and implemented.The engineer will build custom RAG pipelines using Azure services like Blob Storage, Data Factory, and Azure Document Intelligence, with Python code handling chunking, embeddings, retrieval logic, and agen

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

Hiring: AI/ML Engineers Location:Remote 6 to 10 years experience Project Type:W2 Long term contract Job Description Machine learning frameworks and libraries (such as TensorFlow, PyTorch, or similar), developing and deploying AI agents and machine learning models Demonstrate deep expertise in cloud technologies, with a strong focus on Microsoft Azure, including expertise in Azure Data and AI platforms (such as Databricks, Fabric, and AI Foundry) Build and experiment with GenAI models and agent