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.
Leads geographically diverse AI/ML teams, serving as a primary point of contact for AI-related matters while designing and implementing machine learning models using frameworks like PyTorch and TensorFlow.
Build and deploy ML models (classification, regression, clustering) for finance, healthcare, and tech clients, then visualize insights and productionize pipelines.
Build and deploy ML tools (LLMs, multimodal, GenAI) to automate engineering workflows for an electric flying-taxi startup.
Build and fine-tune NLP/LLM models for client projects, crafting pipelines and deploying production-ready AI features using PyTorch, LangChain, and vector databases.
Assist in analyzing datasets, building ML models, and visualizing insights using Python/R and libraries like scikit-learn and Pandas.
Build and maintain scalable data pipelines and cloud-based warehouses using Spark, Python, and AWS services like Glue, S3, and Athena to enable analytics and reporting.
Build and optimize generative AI models using PyTorch, Hugging Face, and LangChain, then ship applications that leverage LLMs to support business decisions.
Build and deploy AI models to improve diagnostics and hospital workflows using Python, TensorFlow, and PyTorch.
Senior AI & Data Science Architect designing and deploying scalable, secure AI solutions for a leading bank, leading modernization and MLOps initiatives.
Build and deploy ML/AI models (classical, deep learning, LLMs) with MLOps/LLMOps pipelines, focusing on production-grade solutions and API integration for enterprise use.
Design and lead enterprise-scale AI/ML architectures, including Generative AI and Agentic AI systems, ensuring scalability, security, and MLOps/LLMOps best practices.
Lead AI/ML teams to build, deploy, and govern production-grade generative and agentic AI systems using LLMs, RAG, and orchestration tools.
Builds and deploys ML/DL models (classical, deep learning, LLMs) for structured/unstructured data, focusing on MLOps/LLMOps pipelines, model monitoring, and AIOps automation in a telecom/enterprise context.
Senior Learning Data Scientist building AI-driven analytics, predictive models, and dashboards to optimize training and certification programs using Python, TensorFlow, and Power BI.
Build and deploy AI/ML models for JPMorgan’s Business Banking, focusing on Gen AI, NLP, and LLM-driven validation and campaign workflows.
Lead AI initiatives at a proptech company, designing and deploying GenAI systems with LLMs, RAG, and agent frameworks while mentoring engineers and shaping product strategy.
Build and deploy AI systems like RAG pipelines and agents to automate tax/accounting workflows using Python, PyTorch, and cloud services.
Build and deploy AI-driven systems like RAG pipelines and custom agents to automate tax/accounting workflows using Python, PyTorch, and cloud services.
Build and maintain scalable ML pipelines and infrastructure for AI-driven projects using Docker, Kubernetes, and cloud platforms like AWS/GCP/Azure.
Design, build, and deploy AI/ML models, Generative AI apps, and LLM-based solutions using Python, TensorFlow, and PyTorch.
We couldn't check your fit for this role — add a CV to your profile to see it next time.