| Azure solution Architect || Boston MA at Boston, Massachusetts, USA |
| Email: [email protected] |
|
http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2103137&uid= Chief Solutions Architect for this group - automating resource mgt; architecting solutions on Azure services Help Madrigal come up with a framework in place for ML ops devops work so data scientists can follow a standard operating procedure Containerizing the solution Cataloging models Azure & Databricks Position Responsibilities: Technical Leadership and Strategy: Lead the implementation of scalable AI/ML cloud architectures using Azure, setting the standard for reliability, security, and performance. Establish best practices in cloud infrastructure and DevOps methodologies, fostering a culture of continuous improvement and technical excellence. Solution Architecture and Design: Design and deploy Databricks workspaces and clusters to support large-scale data science and AI workloads. Architect end-to-end CI/CD pipelines for AI/ML model deployment, utilizing tools like Jenkins, GitLab CI, or Azure DevOps to automate testing and delivery. Optimize the deployment of containerized applications using Docker and Kubernetes, ensuring solutions are portable and scalable across environments. Cross-Functional Collaboration: Collaborate with data scientists, Gen AI engineers, and software developers to streamline the development and deployment of AI/ML models. Serve as a bridge between the infrastructure, data science, and software teams to align technical implementations with business requirements. Contribute to code reviews, share technical insights, and mentor junior engineers within the AI & Data Science team. Continuous Learning and Innovation: Stay updated on advancements in Azure, Databricks, and DevOps technologies, applying them to improve development and deployment processes. Proactively identify opportunities for automation and process enhancements within the AI/ML workflows. Participate in internal workshops and seminars to promote a learning culture, ensuring the team is abreast of the latest industry trends and best practices. Qualifications and Skills Required: Required: Bachelors degree in Computer Science, Information Technology, or a related field; Masters degree preferred. 10+ years of experience in DevOps, Cloud Engineering, or a similar role, with a focus on AI/ML workflows and data engineering. Strong hands-on experience with Azure Cloud, including Infrastructure as Code (IaC) tools such as Terraform or Azure Resource Manager (ARM). Proven expertise in managing Databricks environments for data processing and AI workloads. Proficiency in CI/CD tools like Jenkins, GitLab CI, or Azure DevOps, and experience in scripting (Python, Bash, etc.). Experience with containerization technologies, such as Docker and Kubernetes, for scalable deployment. Strong understanding of cloud security best practices and regulatory compliance. Preferred: Microsoft Azure Certifications (e.g., Azure Solutions Architect, Azure DevOps Engineer Expert), Databricks Certifications, GenAI Certifications. Experience in AI/ML model lifecycle management and MLOps. Familiarity with Apache Spark, Delta Lake, and distributed computing. Knowledge of monitoring tools like Prometheus, Grafana, or Datadog. Knowledge of integration platforms as a service (iPaaS) like Boomi, SnapLogic, or Workato. -- Keywords: continuous integration continuous deployment artificial intelligence machine learning information technology Azure solution Architect || Boston MA [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2103137&uid= |
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| 10:48 PM 22-Jan-25 |