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.
- Analyze requirements - Contribute to system design hardware software tradeoffs - Develop software systems - Document test results - Enhance software performance - Maintain software components - Resolve software…
This postdoctoral researcher role at Reykjavik University involves developing machine learning and computer vision pipelines to analyze zebrafish behavioral data. The position requires implementing scalable workflows on HPC and GPU systems while collaborating with scientists to publish research findings.
- Advise senior leadership translate technical options into recommendations - Architect enterprise grade platform capabilities - Assess generative ai agent advancements and drive pragmatic upgrades - Drive platform…
- Collaborate with OEMs and Tier-1s - Conduct market research and competitor analysis - Define embedded software architecture - Drive embedded software strategy - Drive microservices and event driven patterns - Ensure…
- Develop SQL queries to extract validate and transform data - Ensure data quality and accessibility for downstream systems - Identify and resolve data inconsistencies and transformation errors - Maintain Oracle data…
- Deliver roadmap and quality - Drive engineering excellence testing observability CI CD on call cost latency - Lead and grow engineering team - Mentor ML engineers and data scientists - Own delivery across parallel…
- Analyze and prepare customer datasets - Build and evaluate Generative AI solutions - Build and fine-tune machine learning models - Collaborate with MLOps and engineering teams - Collaborate with customers on…
- Advise AI native adoption strategy - Apply security and IP guardrails - Assess development practices - Build AI-native applications - Build agentic workflows - Create adoption roadmaps - Create playbooks and…
- Automate analysis and reporting - Clean and structure data - Collaborate with stakeholders on insights - Create interactive dashboards - Extract and collect data - Identify data sources - Perform statistical analysis…
- Define data lineage - Define key data elements - Design target operating model for data quality - Develop data quality KPIs - Document project risks - Establish data governance - Implement data quality controls -…
The AI Software Architect will design and oversee the deployment of production-grade AI systems, focusing on LLM orchestration, agent architecture, and robust governance frameworks. The role involves integrating heterogeneous systems, ensuring security, and establishing observability and evaluation standards across cloud and on-premises environments.
The Senior AI Engineer will build and deploy multi-step AI pipelines, including hybrid retrieval systems, knowledge graphs, and production-grade monitoring and evaluation harnesses.
Build and deploy production AI services including multi-step pipelines, retrieval grounding with knowledge graphs, and agentic workflows at Siemens.
Senior AI Engineer designing and deploying agentic AI pipelines, knowledge graph systems, and evaluation harnesses across on-prem, hybrid, and cloud environments at Siemens.
The Senior AI Engineer will design and deploy complex AI pipelines, including hybrid retrieval, citation systems, and domain-specific knowledge graphs. The role focuses on building robust production systems with integrated monitoring, evaluation harnesses, and human-in-the-loop orchestration.
The Senior AI Engineer will build and deploy complex AI systems, including hybrid retrieval pipelines, agentic workflows, and knowledge graphs. The role focuses on implementing production-grade observability, evaluation harnesses, and multi-environment deployment strategies.
The Senior AI Engineer will build and maintain multi-step AI pipelines, implement observability, and develop hybrid retrieval systems with knowledge graphs. The role focuses on creating evaluation harnesses and managing multi-environment deployments.
The Data Engineer will design and build scalable data infrastructure and pipelines on AWS to support AI/ML workflows. The role involves collaborating with data scientists to automate deployments and define data ingestion strategies.
The Data Engineering Manager will lead a team to build and evolve secure, scalable data platforms while establishing DataOps practices and governance standards. They will collaborate with product and analytics teams to deliver reliable data products within the insurance and financial services sector.
- Build develop and lead MI BI and analytics team - Define metrics KPIs and reporting outcomes - Deliver trusted reporting analytics and self service capabilities - Drive adoption of Microsoft Fabric and Power BI -…
We couldn't check your fit for this role — add a CV to your profile to see it next time.