Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Build AI/ML proof-of-concepts and cloud-native architectures, automate deployments, and mentor teams to drive enterprise adoption of emerging technologies.
Design and build enterprise-grade MLOps platforms to automate the full ML lifecycle from data prep to retraining and governance using cloud-native tools like Kubernetes, CI/CD, and IaC.
Consultant builds predictive models and BI dashboards to turn client data into strategic decisions using ML and analytics platforms.
Build and automate scalable MLOps platforms and AI infrastructure, deploying ML pipelines on Kubernetes and cloud-native environments to support data scientists and AI engineers.
Design, train, and deploy AI/ML models and generative AI solutions using cloud-native platforms like GCP Vertex AI, Azure ML, or AWS SageMaker.
Design, build, and deploy scalable generative AI and MLOps pipelines for enterprise systems, collaborating with data engineers and product teams.
Designs and builds scalable, secure data platforms and pipelines using SQL Server, SSIS, Snowflake, and cloud-native services for enterprise analytics and governance.
Designs and maintains scalable data pipelines and warehouses, builds ETL/ELT workflows, and supports real-time and batch analytics for enterprise reporting.
Designs, builds, and maintains scalable cloud data pipelines and ETL workflows using cloud services and Databricks.
Designs and maintains ETL/ELT pipelines and cloud data warehouses, using SQL and big-data tooling to deliver clean data for downstream teams.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines on Azure Data Factory and Databricks, optimizing for cost, speed, and data quality.
Designs and maintains scalable data platforms and ETL/ELT pipelines for enterprise data warehouses using Spark, Kafka, and cloud services like BigQuery.
Design and maintain scalable ETL/ELT pipelines and data platforms using cloud tools, SQL, Python/Scala/Java, and big data tech like Spark and Kafka.
Design and build scalable ETL/ELT pipelines and data warehouses using BigQuery, Redshift, Synapse, Spark, Kafka, and dbt to power analytics and BI for enterprise clients.
Designs and governs enterprise-scale data architecture, models, and standards to support analytics and business transformation using TOGAF/DAMA principles.
Designs enterprise-wide data architecture, models, and governance for a large organization, ensuring interoperability and alignment with business strategy.
System Engineer Location: Riyadh, Riyadh, Saudi Arabia Job Description – System Engineer Position: System Engineer Project Duration: 3 Months Location: Onsite Language: Arabic (Mandatory) Experience: 5+ Years…
Senior Data Architect Location: Cairo, Cairo, Egypt CV’s that match the JD will be entertained Only Data Architect Location : Onsite – Riyadh Role Duration – Long Term Role Overview The expert will define the…
Leads data platform implementations (warehouses, lakes, BI) while reviewing projects for quality and advising clients on fit-for-purpose analytics solutions using SQL, Python, and cloud platforms like Snowflake or BigQuery.
Data Engineer (Data Bricks) Location: Islamabad, Islamabad, Pakistan Role Summary We are seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines using cloud technologies and ETL tools. Key…
We couldn't check your fit for this role — add a CV to your profile to see it next time.