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.
Backend/Data Engineer building and evolving a data management platform using Python, Django, MongoDB, and pandas — designing REST APIs, implementing data workflows, and writing automated tests in a fully remote, international team.
Develops scalable backend services and data pipelines using Python/Django, focusing on API design, data processing, and async workflows for a global data management platform.
Somos Applus+ Laboratories , la división del Grupo Applus+ que proporciona servicios de ensayo, certificación e ingeniería de desarrollo de producto. La información a continuación detalla los requisitos del puesto, la…
Builds predictive models and real-time analytics to optimize solar PV and BESS plant performance, focusing on generation forecasting, fault prediction, and operational efficiency.
Poszukujemy doświadczonego Data Scientista , który chce rozwijać zaawansowane rozwiązania personalizacyjne w dynamicznym środowisku produktowym. Jeśli masz doświadczenie w personalizacji, rekomendacjach, segmentacji…
Data Scientist at Askuity (Home Depot division) designing and deploying ML models, GenAI/RAG solutions, and analytics pipelines on GCP/Vertex AI to power retail and supplier decision-making.
The Senior Data Scientist will design and deploy end-to-end decision science systems, including forecasting, recommendation engines, and optimization models, within a hybrid-remote environment in Toronto. The role involves working with Python, PyTorch, and TensorFlow to build production-grade data products for the lottery and gaming industry.
The Data Scientist will collaborate with stakeholders to identify business needs and develop predictive models using Python, machine learning frameworks, and big data technologies. The role involves conducting exploratory data analysis and deploying data-driven solutions to optimize business processes.
Data Scientist – Job Description (10+ Years Experience) Job Title: Data Scientist Experience Level: 10+ years of relevant experience in Data Science, Machine Learning, and Advanced Analytics Location: Canada Role…
Build and deploy AI-powered document processing pipelines for biotech customers, integrating systems like MES/LIMS and configuring LLM workflows on AWS while navigating enterprise security and compliance.
As a Senior Member of Technical Staff, you will design and manage scalable synthetic data pipelines to improve the performance and efficiency of Cohere's enterprise AI foundation models. The role involves bridging research and engineering by conducting data ablations, optimizing inference on GPU clusters, and curating large-scale datasets.
Overview AI / ML Engineer role at BPM LLP BPM – where caring and community is in our company DNA; we are always striving to be our best selves and we’re compelled to ask the questions that lead to innovation. Working…
Staff Data Scientist/Engineer builds and deploys AI/ML systems for UKG’s workforce management platform, focusing on large-scale workforce data analysis, generative AI, and agent-based workflows to drive measurable business impact.
Build and maintain data pipelines and manage the lifecycle of data and AI models on the Chief Protection Officer's team, using Python, PySpark, SQL, and cloud platforms to support business intelligence and advanced analytics.
Senior Data Engineer building and maintaining data products and pipelines for Prima's pricing and underwriting domain, working with Kafka, Flink, Spark, Python, AWS, and SQL databases.
Senior Software Engineer performing full SDLC for DoD simulation systems, curating synthetic geospatial/raster data using C++, Python, Docker, and Kubernetes in an agile, DevSecOps environment.
Builds and optimizes ML models to classify job candidates from CVs, using Python, Scikit-learn, and XGBoost to analyze large datasets and improve hiring workflows.
The Python Data Engineer will develop and optimize data solutions using Python, Pandas, NumPy, and SQL to support financial industry processes. The role involves team collaboration and offers remote work flexibility.
Build production data systems and ETL pipelines in Python (Pandas) for a hedge fund's analytics and reporting modernisation programme.
Builds and maintains data-driven applications and pipelines for Zula 2.0, a rail inspection ranking platform, focusing on backend data processing, analytics, and ML workflows on AWS.
We couldn't check your fit for this role — add a CV to your profile to see it next time.