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.
Purpose: To design, develop, and implement automation solutions for system integration and machine assembly processes to enhance productivity, minimize human errors, and ensure high-quality outputs. The role will focus…
Develop ML models for video/image processing to enhance Apple products, optimizing for edge devices and balancing quality with hardware constraints.
Designs and deploys deep learning models for autonomous vehicle motion planning and prediction using petabytes of driving data and real-time systems.
About the company Are you tired of missing important moments in your weekly game because no one recorded you? Say goodbye to FOMO and hello to PUSHIT! PUSHIT allows you to easily catch up on all the highlights you did…
Overview This is an exciting time to join our group Commercial Engineering & AI (CEAI) as a Software Engineer and work on something highly strategic to Microsoft. The goal of the Commercial Engineering & AI…
Onsite Cloud Solutions Architect/AI Developer in Chantilly, VA building scalable AI solutions using PyTorch, TensorFlow, and Python for Intelligence Community clients, requiring an active TS/SCI with Full Scope Polygraph and 10 years of experience.
Senior ML Engineer designing scalable AI platforms, defining governance frameworks, and leading cross-team ML strategy to deploy safe, high-impact models at Creai, a data-driven AI startup.
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.
An AI Solutions Engineer designs and implements AI-driven architectures (e.g., LLMs, RAG) for clients, bridging technical expertise with business needs. They lead API/data pipeline development, mentor teams, and ensure scalable, ethical AI solutions—balancing R&D with production execution.
Builds AI agents and models for high-frequency trading, using deep learning and time-series forecasting to monitor systems and support research workflows.
Build AI-driven equity trading signals using ML research, proprietary data, and modern architectures like LLMs and sequence models in a collaborative quant research team.
Research and build ML-driven trading models using deep learning and NLP to forecast market behavior and enhance financial predictions.
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.
Design and build AI/ML systems for a global investment firm, integrating generative and traditional models into trading platforms using Python, TensorFlow/PyTorch, and cloud infrastructure.
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.
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.
Customer Insights Analyst using SQL, Python/R, and BI tools to analyze customer behavior, build predictive models (churn, LTV, propensity), and deliver data-driven insights to marketing and brand teams at an international travel company.
This senior-level role involves leading application systems analysis and programming activities, focusing on full-stack development using Java, Spring Boot, and ReactJS. The position requires designing and implementing complex systems within an agile environment while mentoring mid-level developers.
Lead the design, development, and deployment of enterprise-scale Generative AI solutions, owning system architecture, agentic workflows, and GenAI pipelines across backend services and APIs using TensorFlow/PyTorch, LLMs, and NLP.
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.
We couldn't check your fit for this role — add a CV to your profile to see it next time.