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.
Lead the design, development, and deployment of AI and ML models and systems, focusing on scalability, reliability, and performance. Collaborate with cross‑functional teams, including data scientists, software…
4-month co-op ML Software Engineer at RBC Borealis, building ML-based software solutions end-to-end—from data ETL using Hadoop/Spark to implementing ML algorithms and front-end development—within a major bank's AI innovation lab.
Co-op ML Software Engineer at RBC Borealis building end-to-end machine learning software solutions—from data pre-processing and algorithm implementation to front-end development—using Python/C++/Java and distributed frameworks like Hadoop and Spark.
Designs scalable data pipelines, ensures data quality, and drives data modeling for plant breeding using Python, R, SQL, and AWS.
Data Science Engineer developing, validating, and deploying ML, Deep Learning, and Generative AI models into production, while building data pipelines and supporting model monitoring using Python, SQL, and standard data science libraries.
Designs and deploys enterprise-scale Generative AI systems, focusing on LLMs, agentic workflows, RAG pipelines, and scalable microservices for AI-driven applications.
Senior ML Engineer working hands-on to define and develop technical solutions and architecture, collaborating with cross-functional leaders. Core stack: Python, PyTorch, scikit-learn, pandas, SQL, and LlamaIndex/crewAI for agents.
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…
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.
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.
Design, deploy, and maintain cloud and on-prem infrastructure for aerospace and defense systems, ensuring reliability and security for remotely piloted aircraft and surveillance platforms.
Designs and deploys reinforcement learning models to personalize marketing campaigns for global brands using Python, TensorFlow, and SQL.
La Fundación para el Desarrollo y la Innovación Tecnológica ( Funditec ) es un centro de investigación aplicada sin ánimo de lucro que promueve la innovación tecnológica como motor de competitividad y sostenibilidad.…
This is a student co-op role at RBC Borealis where the intern will develop machine learning-based software solutions, working on tasks ranging from data pre-processing to algorithm implementation and front-end development. The role involves collaborating with research teams and utilizing distributed computing frameworks to solve complex financial problems.
This 4-month student co-op role at RBC Borealis involves developing end-to-end machine learning solutions, from data pre-processing to algorithm implementation and front-end development. The intern will collaborate with research teams to build scalable, data-driven financial applications using technologies like Python, C++, Spark, and various deep learning frameworks.
This role involves leading QA automation initiatives for data and analytics projects, focusing on building scalable test frameworks and implementing AI agents for autonomous testing. The position requires deep expertise in GenAI, LLM orchestration, and traditional QA automation tools like Selenium and Java.
AI/ML Engineer building and deploying data-driven AI/ML products in secure, mission-critical environments for the U.S. National Security community using TensorFlow, PyTorch, Python, and related ML frameworks.
Data Scientist implementing end-to-end AI/ML projects (training, deploying, ETL, visualization) for a global paint and coatings manufacturer, working with domain experts and using Python, SQL, PyTorch, and TensorFlow.
Build next-gen ML models for aviation predictions (runway/gate times) using large-scale datasets and deep learning, improving global airline/airport operations.
The Applied AI/ML Senior Associate designs and delivers AI/ML solutions for Asset & Wealth Management, focusing on data pipelines, model development, and productionization. The role requires strong expertise in Python, NLP, and big data tools like Spark and Hive to support business objectives.
We couldn't check your fit for this role — add a CV to your profile to see it next time.