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.
We’ve built a team of creators, innovators, entrepreneurs, and leaders to unlock endless possibility for our customers and partners with the power of OCI. We are now seeking an excellent Enterprise Healthcare and Life…
This role involves designing and developing control and data plane software for Cisco's IIoT wireless and satellite networking products. The engineer will work on low-level components like BSPs and drivers while leveraging C/C++ and AI-assisted development tools.
This role involves building client-facing web applications that integrate Generative and Agentic AI for the Asset and Wealth Management division. The engineer will use Python and React to develop scalable, secure AI-powered workflows and APIs while ensuring compliance with financial industry standards.
At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop,…
Lead data-science strategy and execution for drug development, applying AI/ML and advanced analytics to clinical, omics, and biomarker data to inform clinical decisions and regulatory strategy.
Business Unit/Role Specific Information The Credit and Fraud Risk (CFR) team at American Express employs 3,500 global professionals focused on managing credit, fraud, and banking risk, optimizing risk trade-offs while…
Senior IC role architecting and building production-grade ML, generative AI, and agentic AI systems (LLMs, RAG, SLMs) with MLOps practices for commercial pharma use cases in Bangalore.
Data Scientist at Eli Lilly building predictive models, multivariate analytics (PCA/PLS), and data-driven solutions to support pharmaceutical GMP manufacturing, process monitoring, and digital transformation across global teams.
The Sr. Principal Machine Learning Engineer will architect and deploy production-grade AI systems, including LLMs, RAG, and agentic workflows, to support pharmaceutical commercial and field engagement use cases. The role involves leading technical design, implementing MLOps/LLMOps practices, and mentoring teams while ensuring scalability, governance, and performance.
The Data Scientist will develop and deploy advanced analytics and predictive models to optimize pharmaceutical manufacturing processes. They will collaborate with cross-functional teams to ensure data quality and compliance while driving digital transformation initiatives.
The Staff Software Engineer will lead full-stack development for the Debug team, building software to orchestrate automated workflows for mosquito-borne disease control. The role involves collaborating with hardware engineers, managing data pipelines, and scaling production systems using technologies like Java, Python, Golang, and GCP.
The AI Architect will lead the design and implementation of enterprise-scale AI and Generative AI solutions, serving as the technical authority for AI initiatives. The role involves defining architecture roadmaps, establishing governance standards, and mentoring teams using technologies like LLMs, RAG, cloud platforms, and MLOps.
The Deep Learning Solution Architect will drive the development and optimization of reinforcement learning and post-training frameworks for LLMs and multimodal models, providing technical guidance to customers on NVIDIA's AI platforms.
The AI Engineer will design, build, and deploy scalable AI and agentic solutions within Barclays, utilizing technologies like AWS, Python, and LLM frameworks. The role involves cross-functional collaboration to deliver secure, data-driven digital solutions while adhering to MLOps and governance standards.
As a Data & Analytics analyst at Oliver Wyman in Madrid, you'll build ML/NLP/GenAI solutions and risk models across industries like financial services and climate, primarily using Python and R.
The Data Analyst will analyze qualitative and quantitative customer feedback using Python, SAS, and LLMs to derive actionable insights for product and pricing optimization. The role involves collaborating with cross-functional teams to visualize data and improve the overall customer experience.
You will be part of an energetic A.I./Machine Learning cross-functional team, collaborating with various business/product partners (e.g. Credit, Fraud, Risk, Web, Mobile, Marketing, Enterprise Automation, etc.) to…
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. We are building a next generation, AI-driven Global Financial Crimes Strategic Monitoring solutions that…
As an Analyst US High Grade Strategy within the US Credit Strategy team, you will work end to end on multiple time sensitive deliverables which include day-to-day monitoring of US Credit-relevant sectors/issuers and…
TriNet is a leading provider of comprehensive human resources solutions for small to midsize businesses (SMBs). We enhance business productivity by enabling our clients to outsource their HR function to one strategic…
We couldn't check your fit for this role — add a CV to your profile to see it next time.