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1225 - 405PIC | MLOps Engineer
Build and automate cloud infrastructure for AI/ML models and agents, deploying scalable pipelines on AWS/GCP/Azure with Kubernetes, CI/CD, and observability tools.
Software Engineer, Backend (AI Infrastructure)
Build and scale MLOps infrastructure for AI/ML pipelines, including CI/CD, model training/inference, and monitoring to improve AI model deployment velocity.
Senior Data Engineer
Builds and optimizes data pipelines using Java/Scala, AWS services, and Spark to process and transform large datasets for analytics.
Lead Data Engineer
Lead a team to design and build scalable data pipelines and warehouses using Python, Scala, SQL, Azure, Databricks, and Spark for analytics and reporting.
Big data devops engineer
Build and maintain big-data pipelines and DevOps tooling for clients using Cloudera and Azure, troubleshooting issues and coaching junior engineers.
Mid AI & ML Engineer
Builds and deploys AI/ML systems (classical models, LLMs, agentic workflows) in production using Databricks, Azure ML, and Kubernetes, with a focus on forecasting, prompt engineering, and observability.
Forward Deployed Engineer & AI Engineer& Data Engineer & Equity Research Analyst
Build and deploy AI/LLM tools for equity research, including RAG systems, agentic workflows, and scalable data pipelines to automate market analysis and investment recommendations.
Data Engineer
Build and maintain scalable data pipelines and databases to feed an AI-driven equity research platform in Hong Kong, Singapore, and Shanghai.
Enterprise Data & AI Orchestration Architect
Advises enterprises on AI/data architecture, MLOps, and GenAI orchestration. Works 10–20 hrs/month validating technical decisions for CTOs and data leaders.
Senior AI/ML Platform Engineer, GovCloud
Overview Medallia is the pioneer and market leader in Experience Management. Our award-winning SaaS platform, Medallia Experience Cloud, leads the market in the management of experiences, insights, and actions for…
Backend & Data Platform Engineer
Build and maintain Python/Java backend services and data pipelines for Loora’s AI English tutor, including real-time processing, analytics, and AI model training infrastructure.
Managing Consultant, Data Engineer
Builds and maintains scalable data pipelines (ETL/ELT) using cloud tools like Azure Data Factory, AWS Glue, and Snowflake, collaborating with clients to integrate data sources, optimize models, and enable analytics-driven decision-making.
Managing Consultant, Data Engineer - Minneapolis
Build and maintain scalable data pipelines and ETL/ELT processes using cloud tools like Azure Data Factory, AWS Glue, Snowflake, and Databricks to help clients unlock data insights.
Principal Consultant, Data Engineer - Minneapolis
Principal Consultant builds and maintains scalable data pipelines and cloud-based analytics platforms for clients, using tools like Azure Data Factory, Snowflake, and Databricks.
ENGENHEIRO DE MACHINE LEARNING SR
Build and deploy ML models and MLOps pipelines using TensorFlow, PyTorch, and Scikit-learn to power a scalable AI product used daily by major Brazilian companies.
Data Engineer
Build and optimize scalable data pipelines on GCP using BigQuery, dbt, and Airflow to deliver reliable, high-quality datasets for analytics and data science teams.
Senior Data Engineer
Senior Data Engineer at Garmin designs, maintains, and optimizes containerized Airflow and Kubernetes data pipelines to support analytics and production systems.
Data Engineer
Build and optimize PySpark pipelines for a financial-services client, integrating large datasets and deploying scalable batch/streaming workloads on cloud platforms.
Data Engineer II - Street Data
Builds and maintains ETL pipelines to process global street data, enabling accurate routing and transportation network datasets using Python, SQL, and cloud tools.