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 and maintain ETL pipelines, SQL data warehouses, and OLAP cubes for a pharma-industry platform that aggregates production-line data across multiple plants.
Build and maintain AWS-based data pipelines and ML workflows, turning datasets into insights and scalable analytics for clients across industries.
Senior Data Engineer builds scalable Lakehouse architectures and ETL/ELT pipelines using Databricks, Spark, and cloud services to turn logistics data into BI insights and support analytics across Azure, AWS, or GCP.
Design and build scalable Lakehouse architectures (Bronze/Silver/Gold) using Databricks and Delta Lake to transform logistics data into BI insights, optimizing ETL/ELT pipelines with PySpark and Azure/AWS/GCP services.
Design and optimize scalable data pipelines using Databricks, Apache Airflow, and Spark to process streaming and batch data for enterprise clients across industries like aerospace, energy, and automotive.
Build and optimize scalable data pipelines using Databricks, Spark, and Azure to power AI/ML solutions for global enterprises across aerospace, energy, and automotive sectors.
Build and scale ad-tech data infrastructure that processes billions of events daily, transforming raw ad server and SSP/DSP data into real-time analytics for campaign optimization and business intelligence.
Build and maintain GCP-based data pipelines (batch/streaming) for analytics and ML, using BigQuery, Dataflow, Pub/Sub, Kafka, and ClickHouse.
Lead the design and deployment of generative AI and agentic AI systems for healthcare, including LLMs, RAG, and AI agents, while ensuring responsible, scalable, and compliant solutions.
Build and maintain the AI/ML platform that turns experimental models into production-grade, governed solutions using Databricks, AWS, MLflow and MLOps practices.
Build and maintain the AI/ML platform that turns experimental models into production-ready, governed, and scalable solutions using Databricks, AWS, MLflow, and related tools.
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time microservices, and MLOps tooling using Python, cloud platforms, and frameworks like LangChain.
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time model serving, and MLOps tooling in Python and cloud platforms.
Consultant builds AI/ML models and data pipelines for clients, using Python, SQL, and frameworks like TensorFlow/PyTorch to turn messy data into actionable insights.
Designs and maintains enterprise data solutions, builds AI/ML pipelines, and creates BI dashboards using Azure, Python, and AI tools to support business analytics and decision-making.
Build and maintain open-source ML tools and libraries, package research into reusable components, and enable scalable data pipelines and APIs for production deployment.
Designs and builds enterprise data pipelines, warehouses, and AI solutions in Azure to support analytics and automation, using Python/C# and AI-powered coding tools.
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time APIs, and MLOps tooling in Python and cloud platforms.
Build and deploy AI/ML pipelines, fine-tune LLMs, and integrate generative AI into banking systems using Python, cloud platforms, and MLOps tools.
Consultant builds and deploys AI/ML models and data pipelines for clients, using Python, SQL, and frameworks like TensorFlow/PyTorch to turn messy data into actionable insights.
We couldn't check your fit for this role — add a CV to your profile to see it next time.