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.
Design and implement AI systems, including NLP, computer vision, or generative models, using Python and frameworks like TensorFlow/PyTorch.
Build and deploy AI/ML models (LLMs, RAG, NLP, generative AI) on a large-scale platform using Python, TensorFlow, Scikit-learn, and AWS, with full MLOps and data engineering responsibilities.
Lead the design and implementation of a large-scale AI/ML platform focused on intelligent automation, predictive analytics, NLP, and generative AI using Python, LLMs, RAG, AWS, TensorFlow, and MLOps in a fully remote freelance role.
An MLOps Engineer leads technical initiatives, designs scalable ML systems, and mentors teams to implement end-to-end ML workflows using AWS/Azure, Kubernetes, and MLOps tools like MLflow and Kubeflow.
Onsite Applied AI Engineer in Los Angeles building end-to-end AI features (LLM, computer vision) from conception to deployment using Python, TensorFlow, Django, Flask, and AWS.
AI/ML Engineer building and deploying generative AI, NLP, and computer vision models using Python, PyTorch, Keras, and Hugging Face, with RESTful API development for model integration.
Design and deploy ML systems (CNN, RNN, LSTM), optimize MLOps pipelines, and run distributed training using Spark and Kubernetes in a fully remote, short-term contract role.
An Applied AI Scientist designing, developing, and deploying machine learning models (NLP, TensorFlow/PyTorch) in cloud environments using Python and Docker, in a hybrid role based in Acalanes Ridge, California.
Design and deploy advanced ML models (CNNs, RNNs, LSTMs) using Kubernetes and MLOps pipelines; optimize models for scale with distributed training and Apache Spark.
Design, optimize, and deploy deep learning models using Python, PyTorch, and TensorFlow on AWS/GCP in a fully remote, hourly contract role.
An AI Research Engineer develops and deploys machine learning models, conducts research, and collaborates with teams to solve complex problems using Python, TensorFlow, PyTorch, and NLP/Computer Vision techniques.
Senior Computer Vision Engineer builds AI-powered visual systems for retail robots, focusing on barcode/QR scanning, product recognition, and edge deployment using OpenCV, PyTorch, and ROS2.
Develop AI models to analyze soil images and XCT scans for geotechnical labs, classifying soil structures and assessing sample quality to support digital soil analysis and Marine Ground Digital Twin initiatives.
Build and deploy ML models in AWS/Azure for healthcare analytics, refactoring data scientists' code into production batch jobs and optimizing cloud costs.
The Data Scientist will design, develop, and deploy scalable machine learning and AI solutions, focusing on Generative AI, LLMs, and NLP models. The role involves end-to-end ownership of projects, from data analysis and feature engineering to production deployment and monitoring using Python and PySpark.
Role: Databricks Engineer Experience: 9-12 Years Location: ALL EXL Locations Work Mode: Hybrid Key Role and Responsibilities: Design, build, and maintain Databricks workspaces, clusters, and compute pools across…
We are also looking for a go getter person who can define: Has excellent hands-on experience working on end-to-end model development process using AI and ML models, preferably in Insurance domain Has worked on…
Builds predictive models and data products to drive customer lifetime value (CLV) by developing churn/retention models, segmentation strategies, and personalized CRM campaigns. Owns end-to-end ML workflows, including feature engineering, validation, deployment, and production monitoring in Databricks, while collaborating with CRM, Marketing, and Merchandising teams.
Build high-performance C++ SDKs for computer vision, deploy and optimize ML models across diverse hardware (Qualcomm SoCs, Intel CPUs, NVIDIA GPUs), and maintain Python-based CI/CD automation pipelines at Zebra Technologies in London.
Develops AI/ML solutions (predictive models, generative AI, agentic systems) for government case management modernization, focusing on compliance, MLOps, and data-driven decision tools.
We couldn't check your fit for this role — add a CV to your profile to see it next time.