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.
Designs and implements a secure federal data platform for AI systems, focusing on governance, Databricks integration, and compliance with IL4/NIST standards.
Designs and evolves TradingView’s global financial data architecture, including real-time pipelines and data lakes, while setting standards and mentoring teams to support AI/ML readiness.
Designs and governs AI-ready data architectures for retail media and ad tech platforms, leveraging Azure, Databricks, and Snowflake to enable scalable, governed data products and semantic layers.
Designs and maintains a secure, scalable cloud platform for Python apps and data pipelines using Kubernetes, Terraform, and CI/CD tools like GitHub Actions.
Build and deploy enterprise-grade generative AI solutions using Python, FastAPI, and LLM frameworks like LangChain, with a focus on RAG systems and cloud platforms like Azure OpenAI or AWS Bedrock.
Build and maintain MLOps platforms on GCP/Azure with Kubernetes, automating ML model deployment, monitoring, and scaling for enterprise clients.
Builds and scales AI-driven data pipelines for Shopify brands, integrating e-commerce platforms and automating inventory forecasting with Python, SQL, and AI tools.
Build and maintain backend systems, data pipelines, and APIs for a SaaS influencer marketing platform, using cloud and distributed architectures.
MLOps Engineer builds, deploys, and maintains AI/ML models for a bank’s CRM using PyTorch, GCP, and MLOps pipelines to drive sales and customer experience.
Senior Machine Learning Engineer builds and deploys AI models for defense and supply chain systems, using Python, PyTorch, and MLOps tools in Abu Dhabi.
Designs and maintains scalable AI data platforms for manufacturing operations, building pipelines and frameworks to turn factory and multimodal data into AI-ready datasets.
Designs and builds machine learning models to extract business insights from data, using Python, SQL, and probabilistic modeling tools like PyMC.
Designs and migrates enterprise-grade data platforms, pipelines, and lakehouse architectures (e.g., Databricks) for government clients, ensuring scalability, security, and alignment with business needs.
Researches and builds on-device AI models for in-vehicle sensing, focusing on driver and passenger behavior recognition using deep learning in automotive environments.
Lead a team of 6-8 engineers to build and maintain Hinge's recommendation engine, balancing personalization, fairness, and low-latency performance for millions of users.
Designs and deploys AI-powered healthcare applications using LLMs, computer vision, and machine learning, building scalable backend services and cloud-native solutions on Azure.
Company Description Depop is a peer-to-peer circular fashion marketplace where anyone can buy, sell and discover secondhand fashion. Our mission is simple: to make fashion circular by making secondhand as exciting and…
At ZEISS Corporate Research & Technology, we work at the frontier of science and technology. Our mission is to innovate and develop intelligent solutions contributing directly to future ZEISS products. We’re…
At Epiq , your work contributes to complex, global legal outcomes. You’ll join a values‑driven community where integrity guides decisions, relentless service sets the bar, and we thrive on big challenges together. We…
About the Role: Grade Level (for internal use): 14 The Team: This team is essential to the division's data strategy, playing a key role in data transformation and leading efforts to replace legacy technical debt.…
We couldn't check your fit for this role — add a CV to your profile to see it next time.
