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 train ML/DL models, optimize them for performance, and create scalable PySpark data pipelines using Python, PySpark, and Scikit-learn.
Architect and own the MLOps infrastructure for adaptive AI models in a regulated medical-device setting, defining versioning, validation, and PCCP-style change-control processes.
Design and deploy self-running AI systems and predictive models using Azure ML workflows for client projects.
Build and deploy ML systems and AI software for clients using LLMOps, deep learning, and predictive algorithms on Azure.
Build generative and predictive ML models to decode cellular behavior and guide drug discovery using single-cell multi-omics and perturbation data.
Design and deploy deep learning models (LLMs, CNNs, GANs) for image, text, or signal data, optimizing architectures and addressing bias and overfitting in production.
Build and deploy multi-agent AI pipelines using LangGraph/LangChain, integrating AWS services and OCR tools to turn designs into working agentic workflows.
Drive international IT business development for an outsource firm, prospecting clients and closing projects in AI/ML, web, and software solutions.
Lead a team to build, optimize, and deploy AI models on AWS using SageMaker, Bedrock, and Rekognition, while architecting scalable data pipelines with Athena, Redshift, and OpenSearch.
Intern in Islamabad contributing to AI/ML and quantum-computing projects under mentorship, using Python and ML libraries.
Build and deploy production-grade ML models, LLM integrations, and automation pipelines for enterprise clients using Python, TensorFlow/PyTorch, and cloud platforms.
Build and optimize ML models, LLMs, and RAG systems using Python, TensorFlow, and PyTorch, and deploy them on cloud platforms like AWS or Azure.
Build and deploy LLM-based applications using frameworks like PyTorch and Hugging Face, focusing on NLP and large language models such as LLaMA.
Design and build ML models to solve business problems using Python or R, collaborating with teams to analyze data and improve predictive systems.
Build and deploy ML models using TensorFlow and NLP, quantize models for mobile, and analyze large datasets to enhance products.
Build C++/Python frameworks and APIs to run Vision and Generative AI models efficiently on custom AI accelerators, optimizing performance and integrating with compiler/runtime teams.
Build full-stack web and mobile apps in Ruby on Rails, React, and Flutter, and integrate AI/ML models using OpenAI API, TensorFlow, and PyTorch.
Design and deploy AI agents and chatbots for enterprise clients, integrating business data and automating workflows.
Build and deploy scalable ML infrastructure, owning end-to-end systems from data pipelines to production models while optimizing for performance and cost.
Build and maintain data pipelines and services that power credit risk decisions, collaborating with data science and engineering teams in a hybrid role.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
