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 maintains SQL/ETL/BI pipelines to feed analytics and reporting for digital products and marketing, while leading AI/ML initiatives including model development, prompt engineering, and MLOps on Azure.
Lead a team of data scientists to measure, model, and forecast marketing investments for mobile games using AI, causal inference, and mobile marketing measurement techniques.
Design, build, deploy, and maintain enterprise AI/ML systems on Databricks, including MLOps/LLMOps pipelines and scalable AI architectures.
Design, build, and deploy enterprise AI/ML and LLM solutions using Databricks, MLflow, and cloud platforms, covering the full AI product lifecycle.
Lead AI/ML engineering projects, building and deploying LLM applications with RAG pipelines and MLOps tooling.
Design and build production-grade generative AI systems that process unstructured enterprise data for internal apps and analytics, collaborating with data scientists and engineers.
Engineer and deploy production-grade AI/ML systems, managing model lifecycle and MLOps pipelines to ensure reliable, scalable, and secure AI operations.
Oversee AI/GenAI projects from discovery to production, coaching teams on AI integration into SDLC and aligning stakeholders on delivery and risk.
Design and deploy production-grade AI systems and ML pipelines, from model development to MLOps, using Python/R and cloud-native tools to drive business impact.
The Opportunity This role sits within the Marketing function of Manulife Insurance Berhad and partners closely with business leaders to identify, shape and deliver AI‑enabled opportunities that improve employee…
Design and lead enterprise-scale Data, AI, and Generative AI solutions for Malaysian enterprises and public-sector clients, including cloud-native architectures and MLOps/LLMOps pipelines.
Build and maintain MLOps pipelines to deploy, monitor, and scale AI/ML models in production using Azure, Python, and cloud-native tools.
About Gen Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial…
Design, build, and deploy ML/AI models and GenAI solutions across banking and healthcare, shepherding projects from data prep to MLOps.
Build and deploy ML models for fintech and cybersecurity products, owning the full lifecycle from data exploration to production deployment and monitoring.
Build and deploy production-grade AI models for clients, including credit risk, fraud detection, and generative AI solutions using Python, ML frameworks, and cloud MLOps.
Build and deploy AI/ML models, RAG pipelines, and Generative AI solutions for clients in banking and healthcare using Python, LLMs, and enterprise platforms like Azure ML and Databricks.
Build and deploy AI systems: LLMs, RAG pipelines, APIs, and MLOps tooling to move models from experimentation to production at scale.
Build and maintain ML systems for fintech and cybersecurity products, designing models to solve business problems and automating ML workflows in production.
We couldn't check your fit for this role — add a CV to your profile to see it next time.