AI​/MLOps Engineer; x2

POSITION SUMMARY

We are seeking a passionate Azure AI/ML Ops engineer to create a data platform and pipeline to enable advanced analytics.

• 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) and create and implement machine learning models and algorithms.
• Automate the deployment and monitoring of AI models, and collaborate with Dev Ops teams.
• Use AI to automate processes such as sentiment analysis, image identification, recommendation systems, and chatbots.
• Implement machine learning pipelines and workflows.
• Deploy and scale ML models in production environments.
• Automate CI/CD pipelines to account for data, code, and model changes.
• Monitor model performance and apply updates as needed.
• Ensure the security and compliance of machine learning systems.
• Collaborate with data scientists to optimize models and improve performance.

• Bachelor’s Degree (BA/BS) in Information Systems from a four-year college or university and 5 or more years of development experience required or equivalent combination of education and experience.
• Travel up to 25%.
• 3 to 6 years of experience managing machine learning projects end-to-end, with the last 18 months focused on MLOps.
• Strong programming skills, preferably in Python, Java, or Scala.
• Proficiency in machine learning libraries and frameworks such as Tensor Flow, PyTorch, or scikit-learn.
• Experience with containerization technologies such as Docker and Kubernetes.
• Familiarity with ML model deployment tools such as MLflow or Kubeflow.
• Working experience in Azure cloud platform.

The salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company’s 401(k) retirement plan.