Technical Lead

Fine- tune and optimize pre- trained LLMs and domain- specific models for client needs.
Evaluate and recommend tools, technologies, and processes to ensure the best solutions.
Lead technical discussions and provide guidance to development teams
Monitor models in production, ensuring performance, resilience, and compliance
Software Development
Devops
Containerize and deploy models using Docker, Kubernetes, AWS/GCP/Azure.
Leadership & Collaboration
Establish CI/CD pipelines
Design scalable software architectures that meet business needs.
Mentor junior members, fostering technical growth within the team.
Ensure AI models meet business requirements in terms of accuracy, latency, and scalability.
AI/ML Engineering
Research, design, and implement state- of- the- art AI/ML models across domains (NLP, LLM, Generative AI, Recommendation Systems).
Engage directly with international clients, ensuring transparency, trust, and delivery excellence.
Build and maintain end- to- end pipelines for data processing, training, evaluation, and deployment.
Contribute to frontend/backend development (React, Node.js, Python/FastAPI, or similar) as part of fullstack delivery.
Implement comprehensive testing strategies (unit, integration, E2E) to maintain quality and stability.

Solid software engineering background with hands- on experience in backend and frontend development (Node.js, React, SQL/NoSQL databases).
Strong proficiency in Python.
Expertise in MLOps and DevOps (Docker, Kubernetes, cloud platforms, CI/CD pipelines).
At least 2 years in a senior or tech lead role
Strong communication skills with English proficiency (equivalent to IELTS 6.5+).
Proven experience deploying AI systems in production environments with real- world scale.

Join a global team and work directly with many talents around the world.
Work and grow in a dynamic, creative, and professional environment.
Annual salary evaluation.
13 months’ salary per year.
Salary: Up to 80M
Healthcare: Premium Health Insurance TECHVIFY Care
Sponsor and encourage staff to study courses by covering tuition fees, such as Udemy, Coursera.
Opportunities for onsite work in Japan, Singapore, Australia, and many other countries.

Cập nhật gần nhất lúc: 2025-09-12 09:40:03