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.
Lead a team to design, build, and maintain data pipelines and systems that transform raw healthcare data into actionable insights for analysts and business teams using Python, SQL, Databricks, and Azure.
Build and maintain data platforms and reporting systems to support AI-driven decision-making and Executive Education rankings using Power BI, Azure, and Python/SQL.
Data Analyst at BP builds dashboards, analyzes energy-sector data, and partners with engineers to automate data pipelines using SQL, Python/R, and big-data tools.
Senior Data Scientist builds and scales ML models and data pipelines to deliver business insights in a hybrid role at NTT DATA.
Senior Data Engineer builds and maintains data pipelines and ML infrastructure for ZALORA’s e-commerce platform, working with Python, Spark, and cloud platforms to support ML models and analytics.
Build and productionise ML models for an e-commerce platform, using Python, TensorFlow/PyTorch, and cloud pipelines to improve product recommendations and business decisions.
Build and deploy AI/ML models and generative AI agents to solve business problems, using Python, Azure ML, and Azure OpenAI.
Build and maintain a Django/Python-based importer reporting site, optimize AWS cloud infrastructure, and translate business needs into technical specs.
Build and improve AI models for proactive human-AI collaboration using machine learning, data mining, and statistical analysis in a cutting-edge product team.
Build and optimize ML models for proactive intelligence using Python, TensorFlow, PyTorch, and scikit-learn, collaborating with engineers to deploy models at scale.
Lead a team managing test data for healthcare applications, designing data models, and ensuring data quality across Teradata, Oracle, and AWS Databricks environments.
Build and maintain scalable backend systems and data pipelines for a market-research firm that processes billions of data points daily to power investment insights.
Build and maintain scalable backend systems and data pipelines for a market-research firm that processes billions of data points daily, using Go/Python and cloud infrastructure.
Attend a global AI conference in Dubai focused on deep learning, reinforcement learning, and machine learning research presentations and networking.
Build ML/AI models to optimize asset-management strategies and fintech products using blockchain, tokenization, and NFT data.
Teach undergraduate courses in data engineering and data science, focusing on building robust data workflows for AI systems like LLMs, using tools such as SQL, Python, Spark, and Hadoop.
Design and implement generative AI solutions for enterprise customers, collaborating with teams to research cutting-edge models and optimize business outcomes using AWS tools.
Design and maintain data pipelines, APIs, and integrations using SQL, Apache NiFi, and ETL tools to ensure reliable data flow and reporting for a product-focused company.
Builds Python backends and AI-training connectors (Slack, Linear, Jira, etc.) using FastAPI/Flask/Docker, then mines and evaluates realistic workflows for long-horizon AI tasks.
Build and scale data pipelines, warehouses, and analytics for a global fintech/crypto platform using Python, Spark, Kafka, and cloud tools.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
