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Senior Engineer Data Science
Build and deploy ML models for lending, credit risk, and portfolio performance on Azure/AWS, turning financial data into actionable insights for MA Financial Group.
GCP Data & ML Pipelines Architect
Designs and runs scalable data pipelines on GCP using Dataflow, Apache Beam, and Kubeflow Pipelines, and implements MLOps for ML lifecycle management.
Senior Data Engineer - AI & MLOps
Build and optimize AI/ML and data pipelines for a sensor-fusion system, focusing on real-time processing, CI/CD, and MLOps to support an autonomous team in Sydney.
Principal Consulting AI / Data Engineer
Principal AI/Data Engineer designs and builds enterprise-scale data and AI solutions on Databricks and cloud platforms, while leading client engagements and translating complex tech into business value for executives.
Senior Data Engineer
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines, data warehouses, and AI/ML platforms to create reusable datasets and enable customer-centric analytics and AI solutions.
Senior Data Engineer — AI & Data Platform
Senior Data Engineer builds and optimizes AI-focused data pipelines and platforms, using Python, SQL, ETL/ELT, and MLOps to support scalable AI solutions for a consultancy.
Analytics Engineer
Build and maintain data pipelines and MLOps frameworks in Azure to support healthcare customer analytics and propensity models for personalized marketing campaigns.
Healthcare Analytics Engineer — Azure Data & ML Ops
Build and productionize healthcare analytics pipelines on Azure, migrating legacy systems and implementing MLOps for propensity models to personalize insurance offerings.
AI Data Engineer: Build AI-Ready Pipelines & RAG Systems
Designs scalable data pipelines and AI-ready systems using Databricks, Spark, and Python to enable retrieval-augmented generation (RAG) and AI capabilities.
AI Data Engineer
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.
Senior Data Engineer
Build and maintain scalable AWS-based data pipelines and lakehouse architecture, using Python and PySpark to ingest, transform, and serve scholarly publishing data for analytics and AI initiatives.
Senior DevOps Engineer (DataOps)
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.
Mid-Senior Data Scientist: Scale ML & AI Pipelines
Design and build ML/AI models to solve business problems for a major Abu Dhabi financial institution using Python, deep learning, MLOps, and cloud platforms.
Senior ML Engineer - Data Platforms & MLOps (Remote)
Leads MLOps-driven data platforms, deploys ML frameworks, and designs scalable ML architectures while coordinating data scientists.
Machine Learning Engineer / Data Scientist (Mid-Level)
Build, train, and deploy ML models in Python using TensorFlow/PyTorch to solve business problems and maintain production systems.
Lead Data & AI/ML Engineering & Architecture
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.
Manager, Software Engineering (Data & AI/ML)
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.
Data Engineer
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.
Data Engineer -Azure Foundry
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.
Senior Data Engineer, MLOps
Build and maintain ML pipelines and real-time inference services for AI-driven insurance risk models using AWS SageMaker, Snowflake Snowpark, and Kafka.