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Designs scalable data pipelines and AI-ready systems using Databricks, Spark, and Python to enable retrieval-augmented generation (RAG) and AI capabilities.
Build and optimize AI-ready data pipelines and retrieval systems using Databricks, Spark, and Python to power generative AI features like RAG and vector search for fintech comparison platforms.
Owns Kubernetes infrastructure, CI/CD pipelines, and data-platform reliability for an agency that builds digital products, ensuring SLAs for Airflow pipelines and containerized workloads.
Leads MLOps-driven data platforms, deploys ML frameworks, and designs scalable ML architectures while coordinating data scientists.
Build, train, and deploy ML models in Python using TensorFlow/PyTorch to solve business problems and maintain production systems.
Lead the architecture and delivery of backend and AI/ML systems, design data pipelines, and guide the team through productionization and scale using Python, FastAPI, and MLOps.
Lead a small team to architect, build, and productionize AI/ML and backend systems, turning data science experiments into reliable services and setting engineering standards.
Designs and maintains scalable data pipelines and cloud-native platforms to ensure reliable, high-quality data for analytics, BI, and AI use cases using SQL, Python, and Azure.
Senior Data Engineer builds and maintains Azure-based data pipelines, warehouses, and lakehouses to power analytics and AI workloads using PySpark, Azure Synapse, and ADF.
Build and deploy AI agents and copilots using Microsoft AI Foundry and Fabric, integrating RAG patterns with enterprise data to accelerate AI use cases for a logistics-focused enterprise.
Build and maintain CI/CD pipelines, Kubernetes clusters, and multi-cloud infrastructure for enterprise systems in Abu Dhabi, using tools like Terraform, Jenkins, and Prometheus.
Senior DevOps Engineer designs, builds, and secures scalable GCP infrastructure using Kubernetes, Terraform, and CI/CD pipelines to support Callsign’s digital-identity platform for global financial clients.
Build and own the cloud infrastructure and MLOps platform for a regulated fintech firm’s AI trading systems on AWS, including Kubernetes, CI/CD, and model deployment pipelines.
Designs and maintains cloud infrastructure and CI/CD pipelines for an AI team, focusing on AWS and Kubernetes to support ML operations.
Build and optimize CI/CD pipelines for Oracle databases and PySpark deployments using OpenShift, Jenkins, and Docker to automate data engineering workflows.
Build and deploy forecasting models for budgeting and supply-chain decisions using Google Cloud and Vertex AI.
Build and optimize RAG-based chatbots and speech-to-text systems using LLMs, evaluating performance with benchmarks and deploying via MLOps pipelines.
Build and maintain data pipelines and ML models for digital agriculture products, using R/Python and DevOps/MLOps practices to support operational services.
Builds and maintains data pipelines and digital analytics products for digital agriculture, using R/Python and MLOps practices to support agronomy-focused algorithms and KPIs.
Build and maintain AI-powered applications, including conversational assistants, RAG systems, and LLM integrations, using Java/SpringBoot and modern cloud practices in a DevSecOps environment.
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