Senior Cloud & Infra Deployment & Support Expert (Offshore) Contract

 

@Marc Ellis is #HIRING

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.