Responsibilities
- Contribute to the design, development, and deployment of enterprise AI/ML solutions focused on NLP, Computer Vision, Generative AI, and foundation models.
- Support the optimization and scaling of AI models to ensure strong performance, reliability, and production readiness.
- Evaluate emerging AI technologies, frameworks, and model architectures to recommend suitable technical approaches.
- Collaborate with product, data, and infrastructure teams to integrate AI solutions into cloud, GPU, and enterprise environments.
- Participate in building training and inference pipelines for large-scale AI applications.
- Mentor junior team members and maintain technical documentation based on implementation outcomes and best practices.
Requirements
- 4 to 6 years of hands on experience in AI, Machine Learning, or Deep Learning projects within enterprise or large scale environments.
- Experience training, fine tuning, or deploying AI models in areas such as NLP, Computer Vision, or Generative AI; exposure to LLMs or foundation models is highly preferred.
- Familiarity with AI pipelines, GPU computing, cloud platforms, and model deployment workflows.
- Strong problem solving skills with experience contributing to complex AI initiatives and technical evaluations.
- Ability to provide technical guidance, collaborate across teams, and ensure compliance with security and data quality standards.
Education & Qualifications
- Bachelor’s degree or higher in Artificial Intelligence, Machine Learning, Computer Science, Data Science, Information Technology, or related fields.
- Candidates with postgraduate education or training from reputable universities are preferred.
- Professional certifications in AI/ML, cloud platforms, distributed systems, or GPU computing are considered an advantage.
- Experience participating in applied AI research, R&D programs, or research to production initiatives is a plus.
HOW TO APPLY: Please send your CV to the consultant in charge:
E-mail: phuong.vu@ev-search.com
All applications will be considered without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, or any other non-merit factor.
