Machine Learning Engineer - Conversational AI

Top 3 reasons to join us

• Top Salary, Awesome Benefits
• Premium healthcare for 3 members in family
• Grab to work, Lunch allowance for all employee

Job description

We're seeking a Machine Learning Engineer to build and deploy multi-agent conversational AI systems with voice capabilities. You'll be responsible for developing real-time voice agents that can engage in natural, multi-turn conversations while maintaining high performance at scale.

Responsibilities

• Design and implement multi-agent voice-based AI systems that can handle complex, real-time conversations
• Build and optimize streaming communication pipelines for real-time speech processing
• Deploy and scale ML models for production environments
• Optimize model serving and inference for high-performance requirements

Technical Requirements

Multi-Agent Systems & Voice AI

• Experience building multi-agent systems using LLMs
• Knowledge of voice agent architectures and conversation management
• Understanding of multi-turn dialogue systems
• Knowledge of interruption and end turn detection in voice interaction, mimicking human-like conversation flow.

Streaming & Real-time Processing

• Strong experience with async/streaming architectures
• Proficiency in building real-time communication systems
• Experience with WebSocket, gRPC, or similar streaming protocols
• Hands-on experience with speech processing pipelines

Production ML Experience

• Track record of deploying ML systems to production
• Experience with ML monitoring and observability
• Understanding of ML system scalability and reliability
• Understanding of deploying ML/DL models on a large scale setup (optimize latency / throughput/ GPU usage…)
• Experience with at least one  serving framework such as Ray, Triton Server, Kubeflow,..

Your skills and experience

Requirements

• BS/MS in Computer Science or related field
• 3+ years of ML engineering experience
• Most prioritize to strong python coding skills, strong logical thinking, strong debugging, tracing open source code
• Experience with PyTorch or similar ML frameworks
• Demonstrated experience shipping production ML systems (Docker, k8s,..)

This role combines ML engineering with real-time voice processing expertise, focusing on building practical, scalable AI systems that can be deployed in production environments.

Why you'll love working here

• 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.