Senior Machine Learning Engineer - AGI
Ho Chi Minh City, Vietnam
Location: Ho Chi Minh City, Vietnam,None,None
The Machine Learning Engineering team is at the forefront of our efforts to develop and deploy cutting-edge conversational AI systems powered by multi-agent architectures and large language models (LLM). We work closely with our research team to optimize, scale, and innovate the deployment of our state-of-the-art models, ensuring that our conversational AI systems are efficient, scalable, and capable of handling complex, multi-turn interactions with human-like fluency.
As a Senior Machine Learning Engineer focused on multi-agent systems, you will lead efforts to optimize, scale, and re-architect our conversational AI models. You'll be responsible for designing and implementing advanced systems that enable multiple agents to collaborate seamlessly, providing intelligent and coherent responses. A key focus of your role will be to enhance our voice agents to support complex workflows and handle interactions as smoothly as a human would, including interrupt handling and end-turn detection in a noise environment.
Responsibilities
- Lead the re-architecture of our voice agent systems to support complex workflows, ensuring flexibility and scalability.
- Develop and implement advanced techniques for interrupt handling and end-turn detection in voice interactions, mimicking human-like conversation flow.
- Collaborate with cross-functional teams to design and implement multi-agent systems that can handle a wide range of applications, from customer support to domain-specific voice agent.
- Lead the integration of advanced speech-to-text and text-to-speech capabilities into our conversational AI systems, enabling seamless and natural voice-based interactions.
- Mentor junior team members and contribute to setting technical direction for the team.
- Stay at the forefront of advancements in machine learning optimization, model serving technologies, and conversational AI, and drive their adoption within the organization.
Requirements
- Bachelor/Master's in Computer Science, Electrical Engineering, or a related field, with a focus on machine learning or artificial intelligence.
- 5+ years of hands-on experience in machine learning engineering, with a strong emphasis on model optimization, serving, and system architecture.
- Extensive experience in designing and implementing complex AI systems, particularly in the realm of conversational AI and multi-agent architectures.
- Deep expertise in natural language processing (NLP) techniques and their application in conversational AI.
- Proven track record of optimizing and scaling large language models and multi-agent systems.
- Strong programming skills in Python, with extensive experience in developing and deploying machine learning models in production environments.
- Advanced knowledge of asynchronous programming using Python for handling concurrent and asynchronous operations, particularly in real-time speech processing.
- Experience with LLM serving technologies such as Nvidia TensorRT-LLM, vLLM, or llama.cpp.
- Excellent communication and leadership skills, with the ability to drive technical discussions, mentor team members, and collaborate effectively across departments.
Preferred Qualification
- Experience with voice processing technologies and real-time audio signal processing.
- Familiarity with cloud platforms (AWS, GCP, Azure) for deploying and scaling AI systems.
- Contributions to open-source projects or research publications in the field of conversational AI or multi-agent systems.
What we offer
- Competitive compensation package, including 13th-month salary and performance bonuses
- Comprehensive health care coverage for you and your dependents
- Generous leave policies, including annual leave, sick leave, and flexible work hours
- Convenient central district 1 office location, next to a future metro station
- Onsite lunch with multiple options, including vegetarian
- Grab for work allowance and fully equipped workstations
- Fun and engaging team building activities, sponsored sports clubs, and happy hour every Thursday
- Unlimited free coffee, tea, snacks, and fruit to keep you energized
- An opportunity to make a social impact by helping to democratize credit access in emerging markets
About us
We are an AI Fintech company specializing in assessing credit profiles of consumers in emerging markets combining pioneering AI with large alternative data sources. In 2020 we reached our ambitious milestone of credit profiling 1 billion consumers spanning 4 countries - Vietnam, Indonesia, India & the Philippines - and building a platform for the wider industry and the financial services industry, in particular, to provide the "un & under" served access to credit. At the core of this initiative has been our strict and unwavering adherence to the norms of consumer data privacy and consumer data rights.
But we're not satisfied as we embark on the next leg of our journey to deliver 100 million credit lines to consumers in the markets where we operate. Although this goal is ambitious, we truly believe that by harnessing the power of AI & Big Data we can deliver financial access at an unprecedented scale.
As a firm, we're audacious problem-solvers motivated by our impact on society. We deeply espouse the values of ownership - of our actions and initiatives, integrity in all we do, and agility in execution.
We place great importance on doing what is right, what is best, and what is innovative. If you are smart, driven, and want to make a difference in the world with the most advanced and fascinating technology, come join our team. We can satisfy your desire to explore new territory and give you the runway to really make an impact.
Additional Info
Learn more about us here:
https://www.youtube.com/watch?v=inAEDGvOcL8&t=29s
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AGI Architecture AWS Azure Big Data Computer Science Conversational AI Engineering FinTech GCP LLaMA LLMs Machine Learning ML models NLP Open Source Privacy Python Research TensorRT vLLM
Perks/benefits: Competitive pay Flex hours Health care Snacks / Drinks Team events
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