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.
Designs and implements cloud-native data architectures for an insurance-focused company using Azure services like Synapse, Databricks, and Power BI to enable analytics, automation, and regulatory compliance.
Build and deploy ML models (traditional to generative AI) to solve business problems, then translate insights into actionable strategies for stakeholders.
Senior Data Scientist to design and implement algorithms for curating and validating AI training datasets using PySpark, Python, and statistical modeling at scale.
Builds ML models for dynamic pricing and trip dispatching to optimize Yassir’s mobility platform.
Senior data scientist builds predictive models, graph analytics, and knowledge graphs using Python and cloud platforms to power AI solutions and enterprise decision-making.
Senior data scientist builds and deploys ML models, graph analytics, and Gen AI solutions to detect fraud and extract insights from interconnected datasets using Python and cloud platforms.
Build and deploy generative AI and ML solutions for financial services using Azure OpenAI, LangChain, and vector databases, integrating backend, frontend, and MLOps.
Builds and maintains data pipelines, models, and visualizations using Databricks, SQL, and Python to turn raw data into insights that guide business decisions and risk management.
Analyzes insurance pricing, reserves, and profitability using actuarial models and data tools to support product development and financial forecasts.
Lead a team to design and deploy AI/ML models, including generative AI and computer vision, using Azure AI services and Python, while establishing MLOps pipelines for enterprise-scale solutions.
Build and deploy AI/ML models for pharma clients using SQL, Python, and healthcare datasets to analyze patient journeys, commercial demand, and clinical data.
Build predictive models and features from financial datasets to power systematic trading strategies at a global asset manager.
Build predictive models and AI/LLM pipelines to drive energy trading decisions, using Python, SQL, and workflow orchestration tools.
Build and refine predictive features for systematic trading models using Python and SQL, collaborating with quants to turn market data into profitable signals.
Build and deploy AI-driven credit scoring, cash flow forecasting, and autonomous capital allocation models for a global private credit firm.
Build AI/LLM models to analyze trading data and improve decision-making in a Dubai-based energy trading firm.
Build ML/AI models to optimize asset-management strategies and fintech products using blockchain, tokenization, and NFT data.
Lead a team of AI engineers to design and deploy enterprise-scale Agentic AI and GenAI solutions for Fortune 500 clients, setting MLOps standards and advising C-level executives on AI strategy.
Lead the design and deployment of advanced AI models, including LLMs and multimodal systems, using deep learning and statistical methods to solve complex business and research challenges.
Build and deploy ML models for financial forecasting, risk analysis, and strategic decision-making using Python, time-series techniques, and cloud platforms.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
