Việc làm VINTERPROS
Cập nhật 24/10/2024 12:03
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Machine Learning Engineer - Conversational Ai
VINTERPROS
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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
VINTERPROS
Xem trang công ty
Quy mô:
25 - 100 nhân viên
Địa điểm:
22B, Đường 388, Ấp Cây Sộp, Xã Tân An Hội, Huyện Củ Chi,
Công ty CÔNG TY CỔ PHẦN VINTERPROS được thành lập năm 2013 – là một trong những đơn vị hàng đầu trong việc sản xuất các sản phẩm cơ khí ,chế tạo phục vụ trong nhiều lĩnh vực như, kết cấu xây dựng trong bê tông ,kết cấu nền móng, kết cấu mái chống thấm…. tại các dự án lớn trong và ngoài nước.
Sản phẩm được sản xuất từ các máy móc thiết bị từ Nhật Bản, có độ chuẩn xác cao , theo từng công đoạn như dập, hàn, uốn ,do đó đáp ứng được yêu cầu của khách hàng theo từng chủng loại sản phẩm,tương ứng bản vẽ khách nhau. Với kinh nghiệm sản xuất, chất lượng sản phẩm cao , sản phẩm của công ty chúng tôi đang được nhiều đối tác nước ngoài như Mỹ, Australia, Canada, Newzealand , Singapore ... ,tin tưởng và đặt hàng theo số lượng ngày càng lớn. Để đáp ứng được quy mô, kiểm soát chất lượng , phát triển sản phẩm , chúng tôi mong muốn được chào đón các ứng viên có trình độ chuyên môn cao, phong cách làm việc chuyên nghiệp, gắn bó lâu dài để cùng đưa Công ty ngày càng lớn mạnh .
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