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Job Description
Top 3 Reasons To Join Us
Grow and advance into higher-level roles
A creative and innovative work culture
Competitive pay and great benefits
The Job
We are seeking a highly skilled and motivated AI/ML Engineer to join our AI Assistant Platform team.
In this role, you will design, develop, and deploy advanced AI/ML models and services that power intelligent features, natural language processing, and real-time inference.
You’ll collaborate closely with platform engineers, data scientists, and cloud architects to ensure AI solutions are scalable, reliable, and deeply integrated into our intelligent applications.
Key Responsibilities
- Design and develop scalable AI/ML solutions and production-ready models for core AI Assistant capabilities (e.g., natural language understanding, generation).
- Own the end-to-end lifecycle of AI/ML models, from initial experimentation and training to testing, validation, and deployment in production environments.
- Architect and optimize ML infrastructure across distributed cloud environments (AWS, GCP, or Azure) to support high-throughput, low-latency inference.
- Implement robust model monitoring, versioning, and performance optimization frameworks (e.g., drift detection, A/B testing) to maintain model integrity and quality.
- Partner with backend engineers to integrate AI/ML services with the AI Assistant core platform.
- Enforce model fairness, security, and performance best practices across the entire ML lifecycle.
Required Skills & Qualifications
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- 2+ years of experience in AI/ML engineering, machine learning, or software development with a strong focus on AI.
- Proficiency in Python and popular ML libraries (e.g., PyTorch, TensorFlow, Scikit-learn) for model development and prototyping.
- Strong experience with MLOps practices and tools (e.g., MLflow, Kubeflow, Sagemaker) for automating the model development and deployment pipeline.
- Deep understanding of machine learning algorithms, model training, and evaluation techniques.
- Experience with cloud-based compute and ML services (e.g., AWS SageMaker, Google AI Platform, Azure ML).
- Expertise in productionizing and scaling AI/ML models in a high-traffic, low-latency production environment.
- Excellent analytical, problem-solving, and communication skills.
Preferred Qualifications
- Proven experience with Large Language Models (LLMs), Natural Language Processing (NLP), or Computer Vision applications.
- Hands-on experience with vector databases, RAG architectures, and fine-tuning LLMs.
- Knowledge of containerization and orchestration tools (Docker, Kubernetes).
- Ability to work cross-functionally in Agile or fast-paced R&D environments.
- Good to have experienced with Agentic AI application.
Why Join Us
- Play a pivotal role in building the data foundation for a next-generation AI Assistant Platform.
- Collaborate with a world-class team of AI, data, and platform engineers on cutting-edge technologies.
- Contribute to a scalable architecture that supports real-time AI experiences across industries.
What We Offer
- Competitive salary & performance-based bonus + 13th-month salary + holiday/Tết bonuses.
- Healthcare Insurance.
- Modern equipment (MacBook).
- Team building, Happy Hours, dynamic and young work environment.
- Clear career path with opportunities for professional development.
Benefits
Why Join Us
- Play a pivotal role in building the data foundation for a next-generation AI Assistant Platform.
- Collaborate with a world-class team of AI, data, and platform engineers on cutting-edge technologies.
- Contribute to a scalable architecture that supports real-time AI experiences across industries.
What We Offer
- Competitive salary & performance-based bonus + 13th-month salary + holiday/Tết bonuses.
- Healthcare Insurance.
- Modern equipment (MacBook).
- Team building, Happy Hours, dynamic and young work environment.
- Clear career path with opportunities for professional development.