Azure AI/ML Ops Engineer

Job: AI/ML Engineer Location: Boston, MA, Hartford, CT, Princeton, NJ, Philadelphia, PA, New York City, NY Contact: 12+ Months Looking for W2 candidates. No C2C Responsibilities: Develop, train, and deploy machine learning models for business applications. Build NLP and computer vision solutions using modern AI frameworks. Implement data pipelines for model training and inference. Perform feature engineering, model evaluation, and optimization. Collaborate with product, engineering, and analytic

ESSENTIAL DUTIES: 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. Automate the deployment and monitoring of AI models, collaborate with DevOps teams. Use AI t

Job Title : Machine Learning Engineer Location : Remote Duration: 8+ Months Bill Rate: $70/Hr on W2 Job Type: W2 Contract Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD JD:Primary Skills: Python, Machine Learning, TensorFlow, PyTorch, MLOps, AWS/Azure/Google Cloud Platform, Docker, Kubernetes Required Skills : Strong Python expertise with NumPy, Pandas, Scikit-learn. Hands-on experience with TensorFlow and/or PyTorch. Experience building and deploying ML solutions on AWS, Azure, or Go

Required Qualifications Bachelor's degree in Information Systems or related field 3 6 years of experience in ML projects (with 18+ months in MLOps) Strong programming skills (Python, Java, or Scala) Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn) Experience with Azure cloud platform Familiarity with Docker and Kubernetes Experience with ML deployment tools (MLflow, Kubeflow)