AI/MLOps Engineer
Vaco Recruiter Services, St. Petersburg, FL, United States
Overview
POSITION SUMMARY: We are seeking a passionate Azure AI/ML Ops engineer to create a data platform and pipeline to enable advanced analytics.
Responsibilities
Utilize Azure technologies like Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services to design, create, and deploy AI/ML-based applications.
Include AI components in 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, and collaborate with DevOps teams.
Use AI to automate processes such as sentiment analysis, image identification, recommendation systems, and chatbots.
Implementing machine learning pipelines and workflows
Deploying and scaling ML models in production environments
Automating CI/CD pipelines to account for data, code, and model changes
Monitoring model performance and applying updates as needed
Ensuring the security and compliance of machine learning systems
Collaborating with data scientists to optimize models and improve performance
Qualifications
Bachelor’s Degree (BA/BS) in Information Systems from a four-year college or university and 5 or more years of development experience or equivalent combination of education and experience
Travel up to 25%
Total of 3-6 years of experience in managing machine learning projects end-to-end, with the last 18 months focused on MLOps
Strong programming skills, preferably in languages like Python, Java, or Scala
Proficiency in machine learning libraries and frameworks, such as TensorFlow, PyTorch, or scikit-learn
Experience with containerization technologies, like Docker and Kubernetes
Familiarity with ML model deployment tools, such as MLflow or Kubeflow
Working experience in Azure cloud platform
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POSITION SUMMARY: We are seeking a passionate Azure AI/ML Ops engineer to create a data platform and pipeline to enable advanced analytics.
Responsibilities
Utilize Azure technologies like Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services to design, create, and deploy AI/ML-based applications.
Include AI components in 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, and collaborate with DevOps teams.
Use AI to automate processes such as sentiment analysis, image identification, recommendation systems, and chatbots.
Implementing machine learning pipelines and workflows
Deploying and scaling ML models in production environments
Automating CI/CD pipelines to account for data, code, and model changes
Monitoring model performance and applying updates as needed
Ensuring the security and compliance of machine learning systems
Collaborating with data scientists to optimize models and improve performance
Qualifications
Bachelor’s Degree (BA/BS) in Information Systems from a four-year college or university and 5 or more years of development experience or equivalent combination of education and experience
Travel up to 25%
Total of 3-6 years of experience in managing machine learning projects end-to-end, with the last 18 months focused on MLOps
Strong programming skills, preferably in languages like Python, Java, or Scala
Proficiency in machine learning libraries and frameworks, such as TensorFlow, PyTorch, or scikit-learn
Experience with containerization technologies, like Docker and Kubernetes
Familiarity with ML model deployment tools, such as MLflow or Kubeflow
Working experience in Azure cloud platform
#J-18808-Ljbffr