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.
Senior DevOps/MLOps Engineer designing and operating scalable platforms for data engineering, ML, and AI workloads, using AWS, Kubernetes, Terraform, and CI/CD tools.
ML Engineer at Toss builds and deploys recommendation, search, and AI models across fintech and ecommerce to optimize product exposure, CTR, and user experience using PyTorch, Spark, and Kubernetes.
Builds and operates a machine-learning platform for a securities app, focusing on LLM serving, gateway systems, and MLOps tooling in Kubernetes.
Designs, builds, and operates GPU infrastructure for AI/ML workloads, including bare-metal clusters, networking, and monitoring.
Build and maintain a cloud-based data platform across AWS and GCP for a fintech scale-up, including data lakes, warehouses, orchestration, and MLOps infrastructure using Terraform, Python, Airflow, dbt, and BigQuery.
ML Engineer building scalable data pipelines and GenAI/Agentic AI solutions on Databricks Lakehouse using PySpark, MLflow, and Python AI frameworks for consulting clients across Europe.
Senior Data Engineer designing and maintaining data/AI platforms on Microsoft Fabric, working on lakehouse architecture, data pipelines, data modeling, CI/CD, and MLOps in Poland.
Senior Data Engineer designing, building, and maintaining enterprise data and AI platforms primarily using Microsoft Fabric, Azure, and Azure AI services — including data pipelines, Lakehouse solutions, and Generative AI/RAG applications.
DevOps Engineer focused on building and maintaining MLOps pipelines for ML model deployment, monitoring, and lifecycle management within investment banking.
Backend developer (Python & Java) working on AI/ML applications, integrating LLMs and cloud services in a hybrid role in Kraków.
Tufin is standing up a governed, enterprise-scale AI program that spans ChatGPT, Claude, Workato eMCP, and a growing ecosystem of third-party AI applications. The AI System Architect is the most senior technical role…
Overview Join us as we Rise to the Challenge At KCI, we’re building an enduring community that provides unparalleled value to our employee-owners. We make our mark designing and delivering our world-class solutions, so…
About Exponent Exponent is the only premium engineering and scientific consulting firm with the depth and breadth of expertise to solve our clients’ most profoundly unique, unprecedented, and urgent challenges. Our…
Own the end-to-end ML lifecycle on Azure and Databricks—orchestrating pipelines from ingest through deploy and monitor—while collaborating with applied scientists to keep models reliable in production.
Data Engineer at a consulting firm building and maintaining ETL pipelines and cloud-based data lakes, primarily on AWS (Glue, S3, Athena, Lake Formation) and Databricks/Delta Lake, using Python and SQL.
White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We’re on a mission to transform the way we use data and AI to service our customers and drive…
Director leading a Data & AI practice—combining executive leadership, solution architecture, pre-sales consulting, and delivery oversight across AI/ML, Generative AI, analytics, and cloud platforms (AWS, Azure, GCP).
Data Science Engineer focused on RapidMiner, responsible for data science, ML model development, MLOps, and customer-facing implementation across India.
The Senior Data Solutions and Cloud Architect/Engineer will design and manage scalable cloud-based data environments on Azure to support advanced analytics and business decision-making. The role involves leading technical teams, building data pipelines, and ensuring compliance with security and GxP standards within a MedTech environment.
Senior Data Engineer leading the re-engineering and validation of an existing Azure Synapse enterprise data platform and driving its migration to Databricks, focused on reverse-engineering complex pipelines, ensuring data governance, and implementing lakehouse architectures.
We couldn't check your fit for this role — add a CV to your profile to see it next time.