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.
Mid-level Data Scientist building machine learning and applied AI solutions for clients using Python, Databricks, and cloud platforms (GCP, Azure) in a remote, Americas-collaborative role.
Design and run tests to ensure AI models are accurate, fair, and secure, using tools like PyTest and TensorFlow Model Analysis.
The Data Scientist will analyze large geospatial datasets to support store development and mapping initiatives using Python, SQL, and ArcGIS. The role involves building machine learning models, creating data visualizations, and collaborating with cross-functional teams to provide actionable business insights.
Who We Are Every organization runs on intelligence: years of accumulated knowledge, decisions, and context. As AI takes on more of that work, companies face a choice: rent that intelligence from vendors who keep the…
The Data Scientist will design and deliver training programs, mentorship, and technical documentation for data science teams while maintaining hands-on development work. The role requires advanced Python and SQL skills, experience with Git workflows, and an active TS/SCI with Polygraph security clearance.
Lead AI/ML teams to build ad-tech algorithms (bid prediction, yield optimization, fraud detection) that maximize publisher revenue and advertiser performance using Python, TensorFlow, and real-time MLOps on cloud platforms.
Grow with us Ericsson Inc. does not sponsor U.S work authorizations for this job position including U.S. immigration filings for initial and/or change of employer paperwork for H-1's, H-1B1's, E-3's,…
This role involves building and owning the MLOps and observability stack for a new European cloud platform, focusing on Kubernetes-based services like Kubeflow and Airflow. The engineer will design scalable infrastructure, develop APIs, and maintain production reliability using Go and Python.
The Senior Software Engineer will build and maintain MLOps and observability services for a new European cloud platform based on Kubernetes and open-source technologies. The role involves end-to-end ownership of tools like Kubeflow, Airflow, and monitoring stacks, utilizing Go and Python to design scalable cloud infrastructure.
Build and maintain scalable data pipelines and ML workflows on GCP, deploying models from notebooks to production using orchestration tools like Airflow.
Develops AI/ML models (text/image processing) for clinical research using AWS SageMaker; collaborates with cross-functional teams to deploy models for trial acceleration and healthcare insights.
Builds and deploys AI/ML models and LLM applications, focusing on prompt optimization, sandbox experimentation, and cloud-based pipelines for a core-AI product company.
Design and implement machine learning models using Python and TensorFlow, collaborating with cross-functional teams to integrate ML algorithms into production systems in a fully remote freelance role.
Designs and optimizes cloud-based data pipelines, integrates data across platforms, and collaborates with teams to enhance system performance and analytics using cloud technologies like Salesforce, Python, and Data Cloud.
Design and implement AI systems, including NLP, computer vision, or generative models, using Python and frameworks like TensorFlow/PyTorch.
An MLOps Engineer leads technical initiatives, designs scalable ML systems, and mentors teams to implement end-to-end ML workflows using AWS/Azure, Kubernetes, and MLOps tools like MLflow and Kubeflow.
Onsite Applied AI Engineer in Los Angeles building end-to-end AI features (LLM, computer vision) from conception to deployment using Python, TensorFlow, Django, Flask, and AWS.
Machine Learning Engineer implementing ML solutions on a Procure to Pay project in a hybrid Pune setting, writing clean Python/ML code under senior mentorship with a focus on data preprocessing, model building, and team collaboration.
An AI Research Engineer develops and deploys machine learning models, conducts research, and collaborates with teams to solve complex problems using Python, TensorFlow, PyTorch, and NLP/Computer Vision techniques.
The Associate Data Scientist will develop predictive models and machine learning solutions to enhance pricing strategies for Personal Auto and Home insurance lines. The role involves collaborating with cross-functional teams using Python, R, SQL, and AWS to transform large datasets into actionable business insights.
We couldn't check your fit for this role — add a CV to your profile to see it next time.