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.
Data Scientist implementing end-to-end AI/ML projects (training, deploying, ETL, visualization) for a global paint and coatings manufacturer, working with domain experts and using Python, SQL, PyTorch, and TensorFlow.
Develop and optimize industrial vision systems for inspection, measurement, and defect detection, configuring vision hardware/software (HIK, OpenCV, HALCON, Cognex VisionPro) and providing technical support in an industrial automation setting.
Builds and deploys ML models to solve business problems, analyzes data for insights, and collaborates with teams to integrate models into production systems using Python, SQL, and deep learning frameworks.
Machine Learning Engineer building and optimizing recommendation systems (collaborative filtering, deep learning, GNNs) for gaming platforms, using TensorFlow, PyTorch, Spark, and distributed data processing to personalize content and maximize user LTV.
Senior Data Scientist at STMicroelectronics designing and deploying ML/AI models (computer vision, optimization, GenAI) in Python using TensorFlow/PyTorch, partnering with business stakeholders in a semiconductor manufacturing context.
About Seed-X: Seed-X is an innovative, high-growth AgTech company revolutionizing the AgriTech industry. We leverage proprietary AI, machine vision, and deep learning algorithms to analyze seeds at the individual…
As an AI/ML Engineer, you'll design, create, and implement complete AI systems that transform client operations, increase data accessibility, and optimize AI/ML systems. You'll work with technologies like TensorFlow, PyTorch, and other ML frameworks to build production-grade solutions for Defense and Intelligence sectors.
Data Scientist applying machine learning, AI, and advanced analytics to generate business insights from diverse data sources at Roche Diagnostics in Indianapolis.
Build and deploy scalable ML and GenAI solutions at Amgen, turning prototypes into production-ready services using Python, cloud platforms, MLOps and containerization.
Data Scientist II building ML, NLP, and generative AI systems for clinical and scientific knowledge discovery and evidence extraction at Elsevier, using Python, LLMs, and standard ML/data science libraries.
Lead AI and data science strategy across ML, NLP, search, and generative AI to build advanced knowledge-discovery systems for Elsevier's healthcare education and scientific research products.
Data Science Analyst co-op/intern on BMO's Audit AI & Analytics team, using SQL, Python, and Power BI alongside AI/ML and LLM tools to mine data, build predictive models, and deliver end-to-end analytics solutions for business stakeholders.
Principal ML Engineer owning the end-to-end architecture of Disney's News & Entertainment ML platform, driving personalization and recommendation systems at scale across ABC News, National Geographic, Marvel, and Disney Studios using AWS, Spark, Kafka, and big data technologies.
The Director, NovaOS Product Owner manages a portfolio of AI-enabled capabilities, bridging business needs with engineering, UX, and data science teams to deliver enterprise software. This role focuses on product strategy, backlog prioritization, and driving adoption within a pharmaceutical context.
The Senior DPU Test Development Engineer will validate NVIDIA's BlueField DPU enterprise offerings by designing test plans, automating test cases, and collaborating with development teams to triage issues. The role requires strong proficiency in Linux, Python, and networking protocols to ensure high-quality software delivery.
Develop, optimize, and deploy machine learning models for audio and multimodal intelligence on edge/embedded devices, working at the intersection of ML modeling, DSP, and embedded systems using C/C++, Python, and on-device ML runtimes like TFLite Micro.
Principal ML Engineer owning the end-to-end architecture of Disney's News & Entertainment ML platform, driving personalization and recommendation systems at scale across brands like ABC News, Marvel, and Disney Studios using AWS, Spark, Kafka, and deep learning.
Senior Data Scientist on the Gen AI Delivery team, responsible for fine-tuning, developing, and deploying generative AI models (LLMs, RAG, agentic workflows) using Python and deep learning frameworks for Caterpillar's digital products.
Develop AI and computer vision algorithms for medical imaging and image-guided surgical robotics, including deep learning model design, training, and deployment in a regulated medical device environment.
Leads a team of SREs to design, implement, and maintain cloud/on-prem infrastructure observability, ensuring reliability, scalability, and automation across T. Rowe Price’s tech stack using AWS, DevOps tools, and chaos engineering.
We couldn't check your fit for this role — add a CV to your profile to see it next time.