Senior Cloud & Infra Deployment & Support Expert – Marc Ellis – UAE
Marc Ellis invites applications for Senior Cloud & Infra Deployment & Support Expert in UAE
Marc Ellis is an award-winning HR, Recruitment, Outsourcing and Training Corporation serving forward-thinking local & international organizations specializing in the Tech and Digital industry. We believe in success as our number one driver to results. We hire with the right attitude and train on the skillsets as we believe it is important to develop and upskill those passionate about the world of HR and recruitment.
Faculty Title:
Senior Cloud & Infra Deployment & Support Expert
Role: Senior Cloud & Infra Deployment & Support Expert
Location: Offshore
Duration: 5 months (Extendable)
Key Accountabilities:
- Setup and create Cloud Infrastructure for AA and wider DAAI.
- Perform FINOPS and Security OPS for streamlined processing of data pipelines.
- Enable CI/CD both on-premises and in the cloud.
- Strategize and implement seamless support mechanisms for both on-premises and cloud environments.
- Enable engineering and transformation capabilities to support ML, including building tools and custom transformations for data preparation.
- Establish end-to-end MLOps framework, automated pipelines, containerization, templatization, and CI/CD processes.
- Promote datasets in analytical tools to the Feature Store, ensuring data quality and trustworthiness.
- Implement automatic data quality detection algorithms and support data quality using built-in/custom visual tools.
- Conduct visual data quality assessments and statistical summaries for both categorical and numerical data.
- Handle unique and invalid values, outliers, and perform anomaly detection using machine learning-based assessments.
Requirements:
- Must have Hashicorp Terraform Certification and Azure Cloud Infra Certification.
- Preferably have Data Engineering certification (e.g., Dataiku, Databricks, Snowflake).
- Experience in AI/ML tooling and MLOps practice setup.
- Proficiency in Terraform and Python coding.
- Bachelor’s degree in Computer Science/Information Technology, Engineering (Computer/Telecommunication), or equivalent.
- Certification in Model Ops or MLOps is advantageous.
- Experience with cloud deployments on Google Cloud Platform, Amazon Web Services, or Microsoft Azure.
- Proficiency in drafting solution architecture frameworks relying on APIs and microservices.
- Expertise in distributed computing environments/big data platforms (e.g., Cloudera, Hadoop, Apache Spark, Elasticsearch) and common databases (e.g., SQL, Hive, HBase).
- Hands-on experience with modeling tools like DataIKU, SAS Viya, or Azure MLOps.
