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.
Build and deploy AI/ML models and MLOps pipelines for government AI projects, integrating generative AI into scalable web applications and collaborating with Army stakeholders.
Build and deploy enterprise-scale AI and data pipelines on Databricks, using Spark, Delta Lake, and dbt to automate agentic AI solutions and migrate data platforms for clients.
Build and productionize AI-native components (LLMs, vector DBs, agent frameworks) for a wealth-tech platform that reconciles and curates market data for investment portfolios.
About the Client Our client is a well-established organisation within the Financial Services sector, currently expanding its AI and data capabilities to support a growing portfolio of AI-powered applications,…
Design enterprise-scale data and AI architectures for Fortune 500 customers, integrating cloud data platforms, LLMs, and agentic systems while translating business needs into technical solutions.
Senior MLOps Engineer builds and maintains scalable ML infrastructure for model training and inference, deploys containerized services on AWS and Snowflake, and establishes CI/CD and monitoring standards for production ML systems.
Design and secure AI-driven Identity and Access Management systems across AWS, Azure, and GCP, automating cloud access governance and anomaly detection using GenAI tools like LangChain.
Lead the technical design of Azure-first data and AI platforms, defining reusable patterns and reference architectures in code while mentoring teams to build scalable, secure, and cost-efficient solutions for marketing and advertising use cases.
Build, deploy, and scale AI/ML models and pipelines for Wave’s fintech platform, ensuring reliability, governance, and integration with AWS and MLOps tools.
At TBAuctions, we are committed to building intelligent auctioning platform for our brands. We are seeking a Machine Learning Engineer to join our team with a primary focus on building machine learning models, AI…
Build and deploy computer-vision AI models for Philips’ Azurion Eye clinical platform, using CNN architectures and MLOps pipelines on AWS and Kubernetes.
Build and deploy computer-vision models for an AI-enabled medical imaging platform, using PyTorch/TensorFlow and MLOps tools to track, optimize, and monitor models in real time.
Role : The Manager AI Products is the primary builder within the AI Hub, responsible for turning architectural designs and product specifications into working, production-deployed AI systems. This role spans the full…
Build end-to-end web apps using React or Angular on the frontend and Python backends, integrating with REST APIs and cloud services.
Build and deploy predictive, prescriptive, and Agentic AI models to drive revenue growth, demand forecasting, and commercial decisions across ASEAN & South Pacific markets using Python, Azure AI, and Databricks.
Builds and deploys data pipelines and Gen-AI integrations in cloud environments using Python, SQL, Databricks, Spark, Git and MLflow.
DevOps engineer to build and maintain CI/CD, monitoring, and Kubernetes-based infrastructure for an internal ML platform used for training models and AI agents.
Designs AI-driven web apps by integrating LLMs, vector search, and real-time data; leads cloud-native architecture and full-stack development (Python + React) for production-ready solutions.
Build and maintain cloud-native AI infrastructure on Databricks and AWS, deploying ML models and LLMs at scale with MLOps pipelines and observability.
Build ML models for retention, recommendations and customer growth on a 4M+ member platform using Python, SQL and Databricks.
We couldn't check your fit for this role — add a CV to your profile to see it next time.