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

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

Utilize Azure technologies like Azure Cognitive Technologies, Azure Machine Learning, and Azure Bot Services to design, create, and deploy AI/ML based applications.Include AI components into data workflows, engage with data scientists and data engineers.Utilize Azure AI services to implement natural language processing (NLP) create and implement machine learning models and algorithms.