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.
Build and optimize AI-powered applications using LLMs, RAG, and AI agents, while designing scalable AI infrastructure and collaborating with cross-functional teams.
Lead a team building AI-driven enterprise search and analytics for legal, tax, and compliance professionals using RAG, agents, and full-stack web tech.
Lead the design and scaling of enterprise-grade AI systems, including RAG pipelines and autonomous agents, for legal, tax, and compliance domains using Python, PyTorch, and cloud-native architectures.
Build and deploy AI/ML models in Python and cloud platforms to solve business problems, including predictive modeling, optimization, and generative AI solutions for Micron’s operations.
Build and deploy AI models for mining operations, using Python, TensorFlow/PyTorch, and computer vision to improve safety and efficiency in production environments.
Build and deploy AI systems to optimize NVIDIA’s chip-design toolchain, including LLM-powered validation pipelines and cross-team automation, using Python and deep-learning frameworks.
Build and deploy AI systems to automate and optimize NVIDIA’s chip design and validation workflows, integrating LLMs and agentic tools into silicon development pipelines.
Develops AI-driven software for ground support systems, building and optimizing ML models in Python to analyze mission data and improve aircraft maintenance and planning.
At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where…
Lead AI delivery for an insurance firm, overseeing GenAI/RAG projects, MLOps, and Python-based model development while coordinating cross-functional teams to deploy production-ready solutions.
Leads AI/ML research for drug discovery, developing foundation models and multimodal AI to analyze biological/clinical data for biomedical research and translational science.
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time microservices, and MLOps tooling using Python, cloud platforms, and frameworks like LangChain.
Build and deploy AI/ML systems for banking, including LLMs and MLOps pipelines, using Python, cloud platforms, and frameworks like LangChain.
Build and scale cloud-native microservices, APIs, and ML pipelines for Nike’s digital platforms, using Java, Node.js, React, and AWS serverless/Kubernetes, while operationalizing ML models and modernizing legacy systems.
Build and deploy generative AI applications using LLMs, RAG, and frameworks like LangChain for clients in advisory projects.
Job Description – Data Scientist I Role Overview We are seeking a highly motivated Data Scientist I with strong foundational knowledge in machine learning, modern AI techniques, and emerging Large Language Model (LLM)…
Senior AI/ML and Data Engineer designs, builds, and deploys machine learning models, LLM applications, and AI pipelines for federal clients, using cloud-native tools like SageMaker, Azure ML, and Databricks.
Designs and deploys secure, AI-enabled data pipelines and ML services for U.S. military missions at AFRICOM, using Python, Spark, and cloud platforms like AWS or Palantir.
Build and deploy ML models for fraud detection, risk underwriting, and predictive analytics to power Grid’s fintech products in Seattle.
Senior Solution Engineer at Snowflake in Chicago who designs and demonstrates AI/ML-driven data solutions, collaborates with sales teams, and supports enterprise Proof of Concepts using Snowflake's platform and AI capabilities.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
