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.
Engineer and optimize prompts for Sberbank’s GigaChat LLM suite, integrating models via API and testing for quality and hallucination reduction.
The Data Engineer will design and maintain a cloud-based data lakehouse on Azure to support clinical analytics and AI initiatives. The role involves building batch and real-time data pipelines, migrating healthcare data from legacy systems, and ensuring data integrity and compliance.
The Python Developer will build and maintain scalable data pipelines and backend services for a vehicle pricing and recommendation platform. The role involves processing large datasets and delivering insights via APIs using Python, SQL, and Airflow in an Agile environment.
The Data Analyst partners with Product, Commercial, and Engineering teams to analyze user behavior, design experiments, and build scalable analytics foundations (metrics, dashboards, alerts) in a FinTech product environment.
Мы разрабатываем инновационную платформу на основе генеративного искусственного интеллекта (GenAI), предназначенную для автоматизации создания и управления маркетинговыми кампаний. Основной целью нашего продукта…
Builds and maintains healthcare data pipelines, databases, and analytics solutions to extract insights from complex claims data, collaborating with policy experts and stakeholders to improve healthcare quality, affordability, and equity. Core tech: SQL, Python, cloud platforms, visualization tools.
This role is for a mid-level Product Data Scientist based in Brazil to work within a health technology environment. The position focuses on product analytics, A/B test design, and statistical experimentation to drive business insights using SQL and Python.
Builds and maintains Python-based automation tools, REST APIs, and backend services for telecom network operations, focusing on 5G and enterprise platforms. Works with QA, DevOps, and network engineering teams to optimize testing, monitoring, and operational workflows.
Mid/Senior Backend/Data Engineer working fully remotely on an international data management platform, building and evolving Python/Django backend services, REST APIs, and data processing pipelines using MongoDB, pandas, and NumPy.
Data Engineer role focused on building and optimizing ETL/ELT pipelines and large-scale data processing frameworks using Python (Pandas, NumPy) with CI/CD and cloud (Azure) in Spain.
Builds and maintains enterprise-grade data pipelines using Python, Pandas, and NumPy to ingest, process, and transform large datasets for scalable analytics and business insights.
Solutions Engineer Intern working with large datasets in Python, Pandas, and SQL to build integrations and user-centric solutions on the Partly Platform for automotive repair supply chain customers.
AIML Cloud Developer This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office. Who We Are: Hewlett Packard
The Software Engineer will design and optimize data ingress/egress pathways and analytics workloads using Python, Java, Apache Spark, and Apache Airflow. This role requires an active TS/SCI with Polygraph clearance.
Lead a team building and maintaining AI/ML platforms and infrastructure for JPMorgan Chase’s consumer banking systems using Python, TensorFlow/PyTorch, and cloud ML tools.
Build ML models to predict and reduce churn for streaming services, using Python, PySpark, and classical ML on large-scale user data.
Build ML models to predict and reduce churn for streaming services, analyzing subscription and engagement data to drive retention strategies.
Integrate AI/ML models into products and services at Unisys, handling data processing, model retraining, and LLM-based production solutions using Python, Pandas, and standard ML algorithms.
The Principal Generative AI Engineer will lead the design and deployment of LLM-based automation and intelligent operations platforms within Citi's Consumer Operations Technology division. The role focuses on architecting RAG pipelines, implementing AI governance frameworks, and ensuring production-grade reliability for financial services applications.
Designs and builds scalable Salesforce data pipelines, models, and integrations to ensure clean, secure data for analytics and CRM operations.
We couldn't check your fit for this role — add a CV to your profile to see it next time.