Việc làm QISDA VIỆT NAM
Cập nhật 18/11/2024 12:40
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Machine Learning Engineer - Conversational Ai
QISDA VIỆT NAM
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Thông tin cơ bản
Mức lương:
Thỏa thuận
Chức vụ:
Nhân viên
Ngày đăng tuyển:
Đang cập nhật
Hạn nộp hồ sơ:
22/12/2024
Hình thức:
Toàn thời gian
Kinh nghiệm:
Không yêu cầu
Số lượng:
1
Giới tính:
Không yêu cầu
Nghề nghiệp
Ngành
Địa điểm làm việc
- TẦNG 8 TÒA NHÀ HAVANA, 132 HÀM NGHI PHƯỜNG BẾN THÀNH QUẬN 1 TP HỒ CHÍ MINH.
Mô tả công việc
Tóm tắt công việc
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,..
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.
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,..
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.
Yêu cầu công việc
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.
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.
Quyền lợi được hưởng
Machine Learning
Python
PyTorch
Docker
Kubernetes
Python
PyTorch
Docker
Kubernetes
Khu vực
QISDA VIỆT NAM
Xem trang công ty
Quy mô:
200 - 500 nhân viên
Địa điểm:
Thành lập năm 1984 tại Đài Loan, sau hơn 30 năm phát triển Tập đoàn Qisda vươn mình trở thành nhà sản xuất máy chiếu lớn nhất thế giới và cũng là nhà sản xuất màn hình tinh thể lỏng lớn thứ hai thế giới với thương hiệu nổi tiếng thế giới như BENQ...vv. Với đội ngũ nhân viên đông đảo lên tới 10.000 người trên khắp thế giới và các trung tâm nghiên cứu phát triển, các nhà máy sản xuất quy mô lớn đặt tại Đài Loan và Trung Quốc, Tập đoàn Qisda tự hào là nhà thiết kế, sản xuất hàng đầu thế giới về sản phẩm điện tử đa lĩnh vực như các sản phẩm điện tử sử dụng trong thương mại, công nghiệp, y tế...vv. Qisda có môi trường làm việc trẻ trung, năng động, chuyên nghiệp, với nhiều cơ hội học tập và thăng tiến.
Hiện tại chúng tôi đang xây dựng nhà máy sản xuất tại Việt Nam quy mô lớn, có nhu cầu tuyển dụng nhiều vị trí quan trọng, hoan nghênh nhân tài Việt gia nhập tập đoàn, để cùng phát triển!
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