Search jobs right inside Claude, ChatGPT or Cursor. Connect freehire over MCP — free, no account needed to search.
Lead the design and deployment of scalable MLOps pipelines on GCP using Vertex AI, Kubeflow, and Airflow to move ML models from concept to production.
Rapsodo is a sports technology company that designs computer vision and machine learning products to help athletes maximize their performance. With offices strategically located in Singapore, Turkey, the USA, Japan,…
ABOUT ELEMYNT ELEMYNT is an early-stage startup built by Xora Innovation. We develop applied intelligence that brings AI into the real world. Our platform combines advanced machine learning, high-performance…
Crusoe Cloud is seeking a Solutions Engineer (early-to-mid career through senior level) to help enterprise customers deploy AI/ML workloads on Crusoe’s high-performance GPU infrastructure Based in our New York City…
Build and maintain the Kubernetes-based platform that runs large-scale data processing, simulation, and ML training for an autonomous-vehicle company.
Build and scale MLOps infrastructure for a global pre-loved fashion marketplace, deploying computer-vision models for luxury authentication and fraud detection, then expanding to search, recommendations, and pricing.
[What the role is] [LTA-TRO] Senior/ Executive/ Infrastructure Engineer - Transport AI Programme, LTA Singapore [What you will be working on] Singapore's land transport network moves millions of people every day.…
Design and build scalable AI data platforms and pipelines that turn enterprise and multimodal data into trusted, AI-ready datasets for GenAI, Agentic AI, and Embodied AI solutions at Apple.
Design, build, train, and deploy predictive models using machine learning and deep learning to solve business problems, with a focus on regression, classification, NLP, and computer vision using Python, TensorFlow/PyTorch, and SQL.
Build and maintain cloud and hybrid infrastructure for AI-driven transport systems, ensuring reliable, secure, and scalable AI workloads for Singapore's land transport network.
Job Description: ML/AI Data Scientist – Predictive Modeling Position Overview We are seeking an experienced ML/AI Data Scientist to design, build, train, evaluate, and deploy predictive models that solve complex…
Senior ML Engineer builds and deploys personalization models for mobile games, using ML techniques and MLOps to improve player retention, revenue, and experience.
Build and own the data pipelines, feature platform, and ML models that power Sardine's real-time fraud and compliance decisions, using GCP tools like BigQuery, Dataflow, and Vertex AI.
What you will do:ACV's Machine Learning organization is looking for a talented Machine Learning Engineer III to join our ML inspection team. In this role, you'll drive end-to-end computer vision solutions…
Designs and maintains an internal AI/ML/LLM platform, including Kubernetes infrastructure, and builds production ML workflows for security and compliance use cases.
AI Engineer in Hyderabad (onsite) with 5–6 years' IT experience who builds ML and LLM-powered solutions end to end: Python APIs, large-scale data/ETL pipelines, model training and deployment (TensorFlow, PyTorch, MLflow), and LLM tooling (LangChain, Hugging Face) on Azure/AWS/GCP with Databricks, PySpark, and Airflow.
Senior Solutions Engineer at Crusoe helps enterprise customers deploy AI/ML workloads on high-performance GPU infrastructure, running demos, PoCs, and troubleshooting Kubernetes-based stacks in the NYC office.
Senior DevOps Engineer designs, builds, and maintains secure, scalable Azure cloud infrastructure, automates CI/CD pipelines with GitLab, and manages Kubernetes clusters while optimizing costs and security.
Senior MLOps Engineer builds and scales ML infrastructure, deploys models, and supports cross-functional teams in optimizing retail-focused machine learning pipelines using GCP, Kubernetes, and Python.
Lead AI Engineer designs, builds, and scales enterprise-grade AI systems (including LLMs and generative AI) for regulated industries like healthcare and public sector, while mentoring teams and ensuring responsible AI governance.
