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 machine learning models and data pipelines for global clients, focusing on data engineering, model training, and MLOps with Python, PyTorch, and cloud platforms.
Design and deploy AI-driven workflows that turn multimodal data into compliant insights for a global alternative investment firm.
Builds and maintains trading systems and research infrastructure for a quantitative hedge fund, using Python, C/C++, and numerical libraries to automate alpha estimation, backtesting, and portfolio construction.
Builds and maintains data pipelines and tools in Python (and Go/C++) to clean, tag, and deliver financial datasets for systematic trading models.
Data Scientist working on aviation fuel-efficiency projects, building ML predictive models, KPIs, and GenAI solutions using Python, BigQuery/GCP, and MLOps tools in a hybrid role in Santiago.
Principal Software Engineer leads the design and development of Android and cross-platform mobile apps for medical devices, using Kotlin, Java, and AWS, while ensuring FDA and ISO 13485 compliance.
The Data Engineer will design and maintain scalable data pipelines, manage data ingestion and transformation, and collaborate with data teams to ensure data quality. The role requires expertise in Python, SQL, and Dataiku DSS to support various technical and functional environments.
Instruct and mentor a 13-week data science program covering ML, DL, NLP, GenAI, and model deployment using Python, TensorFlow, and AWS SageMaker in Riyadh.
Swayable is seeking a Senior AI/ML Engineer to build and optimize the high-performance analytics engine powering their automated data science platform. The role involves leveraging the scientific Python stack to productize machine learning models and distributed computing architectures.
The Junior Data Engineer will assist in developing and maintaining ETL/ELT pipelines, writing complex SQL queries, and ensuring data quality. The role requires strong proficiency in Python and SQL, with a focus on collaborating with cross-functional teams to build robust data architectures.
The Data DevOps Engineer will develop, deploy, and maintain data pipelines and machine learning workflows within a multi-cloud environment. The role involves collaborating with data scientists to optimize analytics platforms using tools like Python, Kubernetes, and various Big Data technologies.
This role involves designing and building Python-based automation tools and AI-enabled services to streamline the quantitative model lifecycle for market and credit risk. The developer will work in a cross-functional team to integrate LLMs and data pipelines into production-grade risk technology systems.
Backend developer designing and operating Python/FastAPI APIs and ETL data pipelines on AWS, while leading a small engineering team at M+C Saatchi's public-interest division in London.
Leads a team that designs and enforces data-quality standards for Ukraine’s national statistical platform, including automated testing of ETL pipelines, data models, and BI dashboards.
The Machine Learning Engineer will design, develop, and deploy scalable ML models for Capital Markets applications using Python, PySpark, and various ML frameworks. The role involves managing the full ML lifecycle, including pipeline development, model optimization, and production integration.
The Lead ML/AI Platform Engineer will own the end-to-end machine learning infrastructure, including training, model serving, and integration with Java microservices. The role focuses on driving the company's GenAI and agentic workflow strategy using AWS-based tools and open-source ML frameworks.
The Senior Data Analytics & Data Visualization Analyst will translate business needs into actionable insights by developing executive dashboards and performing ad-hoc analyses. The role requires strong proficiency in SQL, data visualization tools like Power BI or Tableau, and advanced Excel to support decision-making processes.
About Gen: Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial…
This Data Scientist role involves building data pipelines, developing machine learning models, and managing the data lifecycle to support business intelligence initiatives. The position requires proficiency in Python, SQL, and Big Data frameworks within an insurance environment.
The Senior Data Engineer will design, build, and industrialize scalable data pipelines using Python, Pandas, and NumPy. The role focuses on transforming analytical prototypes into production-ready solutions using DevOps practices, CI/CD, and cloud infrastructure.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
