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 deploy ML models and analytics to drive business decisions, working across the full data science lifecycle with Python, SQL and cross-functional teams.
Lead the product strategy for Wells Fargo’s enterprise AI platform, guiding model development, deployment, and governance to deliver secure, scalable predictive AI solutions across the bank.
Lead the design and delivery of an AI-native data platform, building LLM agents, semantic search, and anomaly detection from scratch while setting technical standards for the team.
Build and maintain scalable data pipelines on GCP, using BigQuery, Airflow, and Python to support marketing analytics and reporting dashboards in Power BI and Looker.
Design, build, and deploy enterprise AI/ML and LLM solutions using Databricks, MLflow, and cloud platforms, covering the full AI product lifecycle.
Analyze large datasets with Python, Pandas, and BI tools to build dashboards and uncover trends that guide business decisions.
Design, build, and deploy ML/AI models and GenAI solutions across banking and healthcare, shepherding projects from data prep to MLOps.
Build and deploy ML models for fintech and cybersecurity products, owning the full lifecycle from data exploration to production deployment and monitoring.
Build and deploy production-grade AI models for clients, including credit risk, fraud detection, and generative AI solutions using Python, ML frameworks, and cloud MLOps.
Build and deploy AI/ML models, RAG pipelines, and Generative AI solutions for clients in banking and healthcare using Python, LLMs, and enterprise platforms like Azure ML and Databricks.
Build and deploy AI models (including LLMs) for investment research, using Python, ML libraries, and financial data to enhance decision-making and automate analysis.
Leads AI/ML model development for fintech customer support, focusing on chatbots, RAG systems, and scalable production deployments with cloud infrastructure and MLOps tools.
Lead AI Engineer designs and deploys ML models (computer vision, GenAI, NLP) using TensorFlow/PyTorch and MLOps pipelines to build scalable AI solutions for Bosch’s product portfolios.
Builds predictive models and dashboards to extract insights from large datasets using Python, TensorFlow, and ML tools for Bosch’s engineering and IT solutions.
Build and deploy ML models, clean data, engineer features, and create dashboards to extract insights for stakeholders.
Build and deploy AI models for player personalization, engagement, and decisioning in Ubisoft’s live games, shipping production-ready solutions that directly impact player retention.
Design, build, and deploy ML/LLM systems end-to-end, from data pipelines to production serving, using Python, Docker, Kubernetes, and MLOps tools.
Design and implement AI architectures for clients, working with generative AI, cloud platforms, and model frameworks like TensorFlow and PyTorch.
Builds ML models and optimization algorithms to improve supply-chain decisions, then visualizes insights in dashboards for stakeholders using Python, SQL, and tools like Power BI, Tableau, and Gurobi.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
