- 경험
- 어느
- 샐러리
- —
- 채용 공고
- 1
- 게시됨
- 7일 전
- 작업 모드
- 사무실에서
- 교육
- Master's or PhD in quantitative field
- 재개하다
- 신청 시 필수 사항
당신이 일하게 될 곳
직무 설명
About Future Secure AI
Future Secure AI is pioneering innovation in artificial intelligence, focusing on solving significant real-world challenges for leading global enterprises across diverse industries. Our team embodies the BRAVER values—courage, rigor, and perpetual curiosity—and benefits from an experienced, approachable leadership with an open-door policy. We prioritize your professional growth, believing our collective success hinges on individual development. Join us to collaborate with some of the brightest experts in AI and contribute to groundbreaking advancements.
Overview
Operating in close partnership with one of the world’s largest financial institutions, Future Secure AI (FSAI) specializes in creating enterprise AI solutions to elevate organizational performance through seamless human-AI collaboration. With numerous partnerships worldwide, we are strategically expanding our global footprint by leveraging cutting-edge AI technologies.
Role and Responsibilities
- Architect, develop, and implement advanced large language model-driven agentic AI systems capable of planning, utilizing tools, orchestrating workflows, and performing multi-step reasoning.
- Leverage machine learning and sophisticated analytics to enhance decision-making processes within autonomous AI coworkers.
- Improve multi-stage reasoning, context management, and agent efficacy in real enterprise applications.
- Lead machine learning operations (MLOps) activities including evaluation, benchmarking, safety assurance, and quality control for AI autonomous systems.
- Establish long-term strategies for agentic AI frameworks, governance protocols, and scalable deployment methodologies.
- Collaborate cross-functionally with engineering, product, and executive teams to deliver production-grade AI coworkers utilized by major global clients.
- Mentor junior data scientists, fostering excellence in scientific and engineering practices.
Candidate Profile
- Advanced degree (Master’s or PhD) in a quantitative field.
- Background in software development preferred; familiarity or willingness to learn TypeScript is advantageous.
- Proven track record in delivering impactful machine learning solutions within complex scenarios.
- Strong expertise in natural language processing techniques including transformers, LSTMs, CNNs, topic modeling, and supervised NLP methods.
- Practical experience with large language model orchestration tools such as LangChain and LlamaIndex, retrieval-augmented generation (RAG), multi-agent systems, or architectures involving tool-calling.
- Proficiency in Python for machine learning and AI, alongside other programming languages.
- Excellent communication skills with the ability to clearly explain complex concepts and influence stakeholders across functions.
- An adaptable mindset with curiosity, humility, and a strong sense of ownership.
- Comfortable working in a fast-paced, evolving environment.
- Ability to attend the Sydney CBD office 1–2 days per week.
Why Work with Us?
- Be part of a high-performance, innovative work culture.
- Engage with cutting-edge technology solutions.
- Learn from world-class leadership.
- Contribute to impactful projects with a strong purpose.
- Receive a competitive salary with extensive growth opportunities.
- Collaborate with top industry professionals.
- Enjoy a flexible work environment that values diversity and creativity.
Additional Information
Recruitment is managed internally; third-party agency contacts are not welcomed. Candidates should apply by submitting their resumes through our company website.
Privacy Commitment
Future Secure AI is dedicated to safeguarding personal data in compliance with GDPR and Australian Privacy Principles, as detailed in our privacy policy available on our website.