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 deploy AI/ML models, focusing on language technologies like NLP and dialogue systems using Python, PyTorch, and Hugging Face frameworks.
Build and deploy ML models and pipelines using Python, TensorFlow/PyTorch, and MLOps tools; analyze data to drive business decisions.
Design and build scalable data pipelines and architectures for a fintech company, ensuring reliable data flow for analytics and financial products using Python, Spark, and cloud platforms.
Design and maintain scalable data pipelines and warehouses to feed analytics and ML, using Python, SQL, cloud platforms (AWS/Azure), and ETL tools.
Build and deploy AI/ML models in Python for HR software, integrating them with backend systems using Django and Kubernetes.
Build and deploy NLP models and LLM-powered backends using Python, FastAPI, PyTorch/TensorFlow, and cloud tools like Google Cloud and Airflow.
Build and maintain web apps in Python/Flask, ETL pipelines with ClickHouse, and AI-driven features (LLM APIs, ML models) for an ad-tech product.
Build and maintain insurance-focused applications using Python, AI/ML models, and AWS cloud services, integrating systems via APIs and microservices.
Build and maintain risk computation platforms using Java, Spring Boot, and Big Data tech to quantify and reduce exposure in capital markets.
Build and scale risk-computation platforms in Java/Spring, Kafka, and Big Data stacks to quantify and reduce TD Securities’ exposure across global markets.
Build and maintain full-stack applications using Python, .NET, FastAPI, and Next.js/React, with a focus on AI/ML integration, cloud architecture, and REST APIs.
Build and deploy AI/ML models in Python for fintech use cases, using LLMs and MLOps pipelines while leveraging AI tools to accelerate development.
Builds and maintains Python-based generative AI systems for a large financial services firm, writing clean, scalable code and collaborating in an Agile team to deliver features and meet sprint goals.
Build NLP pipelines with Flair/BERT/LLMs, process large datasets in PySpark/Pandas, and deploy ML models via Flask APIs and MLflow for Citi’s fintech and AI products.
Build and deploy generative-AI features in Python for a large bank’s internal tools and customer-facing systems, using frameworks like FastAPI, TensorFlow, and cloud-native stacks.
Develop and deploy GenAI solutions in Python, focusing on RAG, fine-tuning, and multi-model pipelines, while benchmarking LLM performance and building scalable APIs for production use.
Build and deploy GenAI solutions in Python, integrating LLMs with RAG, fine-tuning, and multi-agent pipelines while maintaining robust APIs and benchmarking model performance.
Build and maintain scalable ML pipelines on Azure, automating training, deployment, and monitoring with DevOps practices and Kubernetes.
Build, test, and deploy ML models and AI applications using Python, PyTorch, TensorFlow, and data tools like Pandas and NumPy.
Build and shape an AI-powered product from concept to production, designing backend services, APIs, and cloud infrastructure while integrating machine learning and computer vision.
We couldn't check your fit for this role — add a CV to your profile to see it next time.