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.
The Lead ML/AI Platform Engineer will own the end-to-end machine learning infrastructure, including training, model serving, and integration with Java microservices. The role focuses on driving the company's GenAI and agentic workflow strategy using AWS-based tools and open-source ML frameworks.
чем предстоит заниматься: разрабатывать и доводить до продакшена модели компьютерного зрения, решать задачи речевой аналитики: транскрибация звонков, диаризация спикеров, извлечение сущностей и интентов, оценка…
The Senior Software Engineer will design, deploy, and maintain machine learning and AI models within large-scale, real-time distributed systems. The role involves working across the full product lifecycle using Python, Java, and SQL to process large datasets.
The Applied AI Engineer will build and maintain production-grade AI agents, machine learning models, and data-driven dashboards to support real-time decisioning and risk management. The role focuses on developing governed, auditable AI systems using Python, TypeScript, and SQL within a high-scale Web3 and iGaming environment.
Deploy Fundamental's NEXUS Large Tabular Model into production for Houston-based Oil & Gas enterprise customers, performing end-to-end ML work including benchmarking against XGBoost/LightGBM, data engineering, feature engineering, and last-mile integration (VPC, on-prem, air-gapped).
¡En Ayesa Digital crecemos Contigo! Se pueden requerir diversas habilidades interpersonales y experiencia para el siguiente puesto. Por favor, asegúrese de consultar la descripción a continuación con atención. Cada…
Step into a career with ASM, where cutting edge technology meets collaborative culture. For over 55 years ASM has been ahead of what’s next, at the forefront of innovation and what’s technologically possible. With…
Leads ML/data science projects for retail analytics, building predictive models, recommendation engines, and experimentation frameworks to optimize pricing, forecasting, and customer behavior for Primark’s global operations.
Senior Deep Learning Engineer, Computer Vision imagry.E4.E30@comeetapply.com Location: San Jose, CA , On Site We are looking for a capable and experienced Sr. Deep Learning Engineer to join our R&D team. The…
Senior security architect advising a top Canadian bank on securing Azure Databricks, AI/ML pipelines, and cloud data platforms with networking, access controls, and governance.
Hybrid ML/Data Engineer building end-to-end machine learning solutions—from data ingestion and feature engineering through modelling to production deployment—using Python and SQL in Sydney.
Builds and deploys AI/ML solutions for enterprise data intelligence, focusing on GenAI, LLMs, and large-scale data processing to improve data quality, enrichment, and retrieval for Demandbase’s GTM platform.
Build and deploy production-grade AI and Generative AI solutions using Python, SQL, and LLM frameworks to improve customer experience and business efficiency.
Hybrid ML/Data Engineer building production ML solutions across the full lifecycle—from data ingestion and feature engineering through model development, deployment, and monitoring—using Python, SQL, and modern data frameworks.
Data Scientist applying statistical modelling and classical ML to validate and benchmark Gen AI solutions within NCS AI Central's Forward Deployed Engineering model, primarily using Python and SQL.
Lead a team of Data Architects and Engineers designing enterprise data architectures, canonical models, and integration strategies across federal mission environments using lakehouse, data mesh, and multi-cloud platforms (AWS, Azure, GCP).
Builds and deploys advanced AI systems focusing on agentic workflows and RAG pipelines, ensuring safety, reliability, and performance through evaluation frameworks and guardrails.
Leads a growing team of applied ML scientists to develop and deploy fraud detection and identity verification models for SentiLink’s fintech solutions, driving product strategy and technical decisions while ensuring AI safety and data governance.
Leads a growing team of applied ML scientists to develop and deploy fraud detection/identity verification models for US financial institutions, balancing technical execution, mentorship, and product strategy in fintech risk solutions.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
