AdvisoryAI
Machine Learning Engineer (Remote)
Machine Learning Engineer | AdvisoryAI | Malaysia
Our Mission:
AdvisoryAI is an AI-powered Co-pilot assistant for financial advisors.Our mission is to democratize wealth management by automating complexworkflows for financial advisors. Our AI-first approach helps advisors...
Machine Learning Engineer | AdvisoryAI | Malaysia
Our Mission:
AdvisoryAI is an AI-powered Co-pilot assistant for financial advisors. Our mission is to democratize wealth management by automating complex workflows for financial advisors. Our AI-first approach helps advisors spend less time on middle-office tasks and more time concentrating on building strong, genuine connections with clients.
We recently closed our pre-seed round to scale our AI infrastructure and are looking to bring on board an exceptional LLM/ML Engineer! That person will have the ability to be entrepreneurial, wear many hats, thrive in the uncertain environment that an early-stage startup is, and most importantly, show initiative and challenge existing norms.
Values:
At AdvisoryAI, we encourage experimentation, fast execution, and fast learning. We are adaptable and agile. We value driven people who take initiative and voice their opinions. We love self-starters!
At the heart of our culture is open communication, transparency, and trust. We encourage our team members to speak up, share their ideas, and challenge the status quo.
Location:
AdvisoryAI’s headquarters is located in central London and our Asia office is located in Kuala Lumpur. We would love to work together in our office a few days in a month.
In this role, you will:
Responsible for defining and developing ML Platform and frameworks for generative AI powered applications. You will collaborate with diverse cross-functional partners, including model developers, machine learning systems engineers and application developers.
What you’ll bring:
- Bachelor’s degree or equivalent in Computer Science or equivalent field.
- 5+ years of industry experience designing, building and supporting machine learning platforms, services and frameworks.
- Ability to apply your LLM knowledge with a product-oriented focus.
- Strong proficiency in embeddings, vectorization, vector stores, database optimization, performance tuning, and relevant query languages.
- Familiarity with embedding, retrieval algorithms, agents, data modeling for vector development graphs.
- Strong communication skills, and ability to distill technically complex concepts and data for an intelligent but non-ML audience.
- Strong understanding of software engineering principles and fundamentals including data structures and algorithms.
- Solid understanding of concurrency and multi-threading, multiple design patterns and debugging and analytical methodologies.
- Self directed, self motivated and detail oriented with ability to come up with good design proposals and thorough analysis of production issues.
- Experience with LLM and other related frameworks like Langchain, LLamaIndex.
- Excellent problem-solving skills and the ability to work in a collaborative team environment.
Added Advantage If You:
- Contributions to open-source projects or experience leading AI initiatives.
- Knowledge of the finance industry and passion for democratizing access to financial advice.
What We Offer:
- Competitive salary, well above market rates.
- Unlimited opportunities for learning and growth in a fast-paced, AI-focused startup.
- Collaborative, people-oriented culture that values transparency, trust, and open communication.
- Comprehensive employee benefits, including unlimited annual leave, birthday leave, and annual team trips.
- Opportunity to work with cutting-edge AI technologies and make a meaningful impact in the financial industry.
If you are a passionate LLM/ML engineer with a track record of building exceptional user experiences and a desire to shape the future of financial advice, we would love to hear from you. Join us at AdvisoryAI and be part of a team that is pushing the boundaries of what’s possible with AI-powered solutions.
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