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.
Machine Learning Engineer designing distributed backend systems, deploying production ML models, and building scalable data pipelines using Java, Python, Apache Kafka, and Spark at DEKA Research & Development.
The Senior Machine Learning Engineer will design and build production-grade Intelligent Document Processing (IDP) and AI systems using Python, NLP, OCR, and LLMs. The role involves managing the full AI lifecycle, from data ingestion and model integration to deployment and observability in cloud environments.
Ciklum is seeking a Senior AI/ML Engineer to build and deploy LLM-powered agents and workflows for healthcare-related production systems. The role involves writing LLM evaluations, integrating data sources, and collaborating with business users in a fully remote environment.
Technical Program Manager driving AI/ML-powered planning automation and process improvement across AWS global infrastructure planning, working cross-functionally with operations, finance, and engineering teams.
Operate and maintain Databricks and Dataiku platforms, moving data-science projects into production and keeping ML pipelines healthy for humanitarian services.
ALTEN supports its customers’ development strategies in the areas of innovation, R&D and technological information systems. Created more than 36 years ago and based in 30 countries, the Group has established itself…
Architects and leads the media-intelligence data platform for Adobe’s Firefly Foundry, designing scalable pipelines and search infrastructure to process, index, and retrieve multimodal media (images, video, 3D, audio) for AI agents and users, ensuring low-latency, high-recall retrieval at enterprise scale.
Job Description Summary GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety,…
This role involves developing and optimizing machine learning inference engines and runtime systems to ensure efficient AI model execution on Arm hardware. The engineer will work across the software stack, including compilers, drivers, and hardware abstraction layers, using C++ to diagnose and resolve performance issues.
System Test Engineer verifying next-generation AI/ML neural network hardware accelerators at Arm, designing test automation and working with emulation platforms (ZeBu/Palladium/Strato) and RTL (SystemVerilog).
Senior ML Engineer at Criteo AI Lab in Paris designing, developing, and deploying large-scale recommendation and prediction systems for the advertising platform using Python, PyTorch, and distributed training infrastructure.
Leads AI program for relational deep learning platform, bridging ML research, infrastructure, and product teams to deliver fraud detection/recommender systems from research to production.
Build and evaluate ML models for NASA research projects, create reproducible data pipelines, and prototype tools for predictive analytics and decision support in a research environment.
Perform advanced quantitative analyses, develop and validate AML model frameworks, and oversee AI/ML-enabled solutions for anti-money laundering investigations at a large bank, ensuring regulatory compliance and effective governance.
Develop and validate quantitative/AI-ML models supporting AML investigations at PNC Bank, performing advanced data analysis, model risk assessment, and regulatory compliance documentation in a highly regulated financial environment.
Quantum Machine Learning Research Scientist at CIBC driving applied research on quantum algorithms for fraud, cybersecurity, and optimization use cases using quantum frameworks like Qiskit, Cirq, Ocean, Q#, and Python.
Develop machine learning solutions for wireless communication systems at Silvus Technologies (Motorola Solutions), handling RF signals from software defined radios and integrating ML algorithms from edge to data center scale using Python and PyTorch/TensorFlow.
This internship role involves supporting the development, deployment, and monitoring of machine learning models using tools like LlamaIndex and LlamaParse. Interns will work within an Agile team to build AI agents and automate data processing tasks.
The Senior Consultant will design and implement enterprise AI/ML solutions on the Red Hat OpenShift platform for key accounts in the ASEAN region. The role involves leading technical workshops, mentoring teams, and architecting agentic AI and MLOps workflows.
Develop and implement machine learning algorithms for Uber's autonomous driving stack, architecting scalable ML systems and optimizing datasets from real-world sensor data using Python and PyTorch.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
