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.
Associate full-stack developer building scalable web applications across front-end and back-end while integrating AI/ML models, n8n workflow automation, and agentic AI tools like OpenClaw. Day-to-day spans app development, AI agent configuration, automation pipelines, and testing/CI-CD.
Remote Senior Lead AI Engineer (hired via OutForce, a Philippines-based outsourcing firm, working US hours) serving a US engineering/consulting client. Leads end-to-end delivery of enterprise AI/ML — mentoring engineers, owning LLM/RAG architecture, and staying hands-on with Python, PyTorch/TensorFlow, cloud platforms, and MLOps.
Optimize and benchmark AI model performance across hardware platforms for Microsoft's AI services, focusing on large-scale LLM inference and deployment efficiency.
Freelance data science trainer in Delhi who delivers in-depth training on statistics, machine learning, and predictive modeling. Runs hands-on Python sessions (Pandas, NumPy, Scikit-learn, TensorFlow), guides learners through end-to-end projects, and evaluates assignments while mentoring them for data science careers.
Senior Machine Learning Engineer building scalable ML solutions for customer insights, marketing investment optimization, and data-driven decision-making. Core stack: Python, SQL, PySpark/Big Data, TensorFlow or PyTorch, and cloud ML tools like AWS SageMaker or Databricks. Hybrid in Mexico City or Guadalajara; remote from other Mexican states.
Senior AI Engineer in EY Ireland's AI Lab in Dublin, building LLM-driven and multi-agent solutions for global clients. Day to day involves developing generative AI/RAG pipelines and agentic systems with Python, Azure OpenAI, LangChain/LangGraph and Hugging Face, deployed on cloud with MLOps tooling.
Hands-on AI architect/team lead in EY's Financial Services Technology Consulting practice in Dublin, building and deploying enterprise GenAI, LLM, RAG, and multi-agent AI solutions for banking, insurance, and wealth/asset management clients. Core stack: Python, Docker/Kubernetes, LLM providers (OpenAI, Anthropic, Gemini), vector DBs, and AWS/Azure/GCP with LLMOps/MLOps.
A working student role at Marquardt applying AI/ML to embedded systems: researching ML frameworks (TensorFlow Lite, Edge Impulse, CMSIS-NN), preparing sensor data, and training, quantizing, and validating ML models on microcontrollers (STM32, NXP) to improve products.
An internship in Marquardt's innovation team developing edge AI: the intern selects ML frameworks (TensorFlow Lite, Edge Impulse, CMSIS-NN), prepares sensor data, trains and quantizes ML models for microcontrollers (e.g. STM32, NXP), and evaluates latency, resource use, and accuracy for series development.
Builds and benchmarks machine-learning models that predict and design antibody developability at Ginkgo Bioworks' Datapoints (Bio × AI) platform, working with biophysical assay data and public antibody datasets. Core stack: Python, PyTorch/TensorFlow, PLM embeddings (ESM, AbLang), and protein structure tools like AlphaFold.
iOS engineer on Apple's IS&T team building and maintaining scalable, consumer-facing support applications across Apple platforms, including a Generative AI Support Assistant in the Support app. Day-to-day work centers on Swift, SwiftUI, and UIKit feature development for iOS with exposure to macOS, visionOS, and tvOS.
CoreWeave, the AI Hyperscaler™, acquired Weights & Biases to create the most powerful end-to-end platform to develop, deploy, and iterate AI faster. Since 2017, CoreWeave has operated a growing footprint of data…
Develops and optimizes generative AI models for real-time game rendering and live streaming at Sony’s Visual Computing Group, focusing on runtime efficiency, visual quality, and low-latency solutions.
Staff ML Engineer in Sony’s Visual Computing Group builds generative models and ML pipelines for game rendering and live streaming, aiming to push visual quality and latency beyond state-of-the-art.
Principal AI Research Engineer at Archer in San Jose designs and implements cutting-edge machine learning models for electric aircraft systems, using frameworks like PyTorch and TensorFlow.
Founding-level ML engineer at an AI/ML data and services company who builds models and automation for demand generation — lead scoring, conversion prediction, campaign optimization, and growth data pipelines. Core stack: Python, PyTorch/TensorFlow, LLMs, CRM/marketing platforms, and ad APIs.
About the Role This is a founding-level ML Research Engineer opportunity at an early-stage AI/ML data and services company, working directly with the founding team to build and scale the AI research backbone from the…
Build and deploy deep learning models to detect fraudulent IDs and synthetic media, using PyTorch/TensorFlow and AWS SageMaker to protect Jumio’s identity-verification platform.
Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets…
Senior Machine Learning Scientist in drug discovery, building AI models to predict drug efficacy and toxicity using Python, PyTorch, and cheminformatics tools.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
