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.
Principal ML Engineer at Grab’s AI Platform team, building and scaling ML infrastructure for Southeast Asia’s superapp, including LLM training/serving, fraud detection, and search ranking.
Build and deploy generative AI models for healthcare, focusing on LLM fine-tuning, agent frameworks, and scalable AI systems to improve patient outcomes.
Builds and integrates ML models for data generation and privacy, writes Python code, and collaborates with engineers to deploy models via REST APIs on cloud platforms.
Build and deploy real-time Vision AI and edge-inference systems using PyTorch/TensorFlow, ONNX/TensorRT, and NVIDIA stacks for object detection, video analytics, and multimodal models.
Builds an AI-driven investigations platform for law enforcement, processing data, extracting entities, and enabling conversational interfaces with Python, Java, and cloud tools.
Lead AI model development for high-fidelity, multi-physics simulation software used in engineering and manufacturing, leveraging Python, TensorFlow/PyTorch, and cloud platforms.
Build and optimize distributed AI training and inference pipelines for gaming using PyTorch, DeepSpeed, and Kubernetes to support large language models and reinforcement learning workloads.
Senior data scientist builds and validates contextual bandit systems for retail e-commerce on AWS SageMaker, then takes 24/7 production ownership including monitoring, retraining, and A/B testing.
Build and deploy AI models for contact-rich robot manipulation tasks like precision assembly, integrating vision, force sensing, and reinforcement learning into Intrinsic’s robot control stack.
Build data-mining pipelines and ML models to extract insights from e-commerce data, tagging systems, and user behavior to optimize GMV and productization.
Job Responsibilities Design, develop, and deploy AI‑powered solutions. Build scalable AI systems and integrate AI / Machine Learning (ML) models into applications, optimizing AI workflows for production. Collaborate…
Build and productionize generative AI models and LLM-driven applications using PyTorch, RAG pipelines, and vector databases, while engineering robust MLOps and data pipelines in Python.
Build and deploy ML models to optimize ad targeting and bid strategies for a global mobile app monetization platform using Python, PyTorch, and AWS.
Develop, train, and integrate AI/ML models for government systems using Python, TensorFlow, and PyTorch, ensuring compliance with DoD cybersecurity and responsible AI policies.
Lead a team of senior developers, set architecture for large-scale projects, and integrate AI/ML into government-focused systems using Python, React, cloud platforms, and modern AI frameworks.
Build and secure Lightning AI’s end-to-end platform for developing, training, and deploying AI systems, ensuring robust security across PyTorch Lightning and cloud infrastructure.
Builds and tests LLM-based algorithms to generate questions, answers, and summaries for Rambler’s media portals, using RAG pipelines, prompt engineering, and vector search.
Principal Data Scientist builds and evaluates Elastic’s conversational AI platform, improving RAG, agent routing, and retrieval quality for grounded, reliable answers from Elasticsearch data.
Build and scale AI infrastructure for industrial automation, bridging research and production with MLOps and distributed systems.
Build and deploy ML and generative AI models for manufacturing use cases like predictive maintenance and quality control, working with Python, PyTorch, and RAG pipelines in a hybrid Limerick role.
We couldn't check your fit for this role — add a CV to your profile to see it next time.