At Xenon7, we collaborate with leading enterprises and innovative startups on cutting-edge projects that utilize the latest technologies across various IT domains, including Data, Web, Infrastructure, and AI.
The client is a Fortune 500 leader in the pharmaceutical industry, seeking to innovate and expand technological capabilities.
The MLOps Engineer will join a product team focused on a self-service company-wide platform that enables teams and business units to deploy AI solutions across the organization.
The role involves administering and optimizing Databricks within AWS environments, expanding features and capabilities, assessing new releases, and supporting business teams with platform requests.
Requirements:
Candidates must have 3+ years of experience in a similar role with proven expertise in Databricks and AWS, and preferably some exposure to Azure.
A strong background in MLOps, DevOps, and cloud technologies is required, ideally within a similar industry.
Knowledge of AWS AI Services is essential.
Experience in managing and optimizing Databricks environments for high availability, performance, and security is necessary.
Candidates should be skilled in implementing and maintaining Databricks on serverless architectures, ensuring seamless CI/CD pipelines and robust integration with AWS services.
Familiarity with Kubernetes namespace-level operations within AWS EKS, including application deployment and environment configuration, is required.
Benefits:
The position offers the opportunity to work on transformative initiatives that drive innovation and business growth.
Employees will be part of a dynamic team that collaborates with both global organizations and innovative startups.
The role provides a chance to enhance technical skills in a cutting-edge environment, particularly in Databricks and AWS.
There is potential for career growth and development within a Fortune 500 company in the pharmaceutical industry.