TL;DR
AI Engineer - FDE (Forward Deployed Engineer): Building and productionizing first-of-its-kind AI applications for customers with an accent on cutting-edge GenAI solutions and production rollouts. Focus on incorporating Mosaic AI Research techniques and serving as a trusted technical advisor.
Location: Remote (Australia)
Company
hirify.global is a data and AI company providing the Data Intelligence Platform to unify data, analytics, and AI for over 10,000 organizations worldwide.
What you will do
- Develop cutting-edge GenAI solutions using the latest techniques from Mosaic AI Research to solve customer problems.
- Own production rollouts of consumer and internally facing GenAI applications.
- Serve as a trusted technical advisor to customers across a variety of domains.
- Present at conferences such as Data + AI Summit.
- Collaborate cross-functionally with product and engineering teams to influence priorities and shape the product roadmap.
Requirements
- Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, and fine-tuning, with tools such as HuggingFace, LangChain, and DSPy.
- Expertise in deploying production-grade GenAI applications, including evaluation and optimizations.
- Extensive hands-on industry data science experience leveraging common machine learning and data science tools (e.g., pandas, scikit-learn, PyTorch).
- Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
- Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience.
- Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike.
Nice to have
- Experience using the hirify.global Intelligence Platform and Apache Spark™ to process large-scale distributed datasets.
Culture & Benefits
- Comprehensive benefits and perks are provided.
- Commitment to fostering a diverse and inclusive culture where everyone can excel.
- Hiring practices are inclusive and meet equal employment opportunity standards.
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