[Remote] Machine Learning Engineer (REMOTE :: W2 ONLY)

Note: The job is a remote job and is open to candidates in USA. Dice is seeking a passionate Azure AI/MLOps Engineer to build data platforms and pipelines that enable advanced analytics. This role focuses on operationalizing machine learning models and integrating them into production systems to improve outcomes and efficiency.ResponsibilitiesDesign, build, and deploy AI/ML applications using Azure technologies (Azure ML, Cognitive Services, Bot Services)Develop and manage machine learning pipelines and workflowsAutomate deployment, monitoring, and updates of ML modelsCollaborate with data scientists and engineers to operationalize modelsImplement NLP, recommendation systems, image recognition, and chatbot solutionsBuild CI/CD pipelines for ML (data, code, models)Ensure performance, scalability, security, and compliance of ML systemsSkillsBachelor's degree in Information Systems or related field3 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 platformFamiliarity with Docker and KubernetesExperience with ML deployment tools (MLflow, Kubeflow)Company OverviewDice offers a marketplace that enables direct connections between recruiters and technologists. It was founded in 1990, and is headquartered in Centennial, Colorado, USA, with a workforce of 201-500 employees. Its website is https://www.uk.dice.com.Company H1B SponsorshipDice has a track record of offering H1B sponsorships, with 2 in 2022, 4 in 2021, 5 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply To this Job