Technical Lead AI (Python)
Posted on:
5 days ago
Vacancies:
1 Vacancy
Job Summary
ACG3673JOB
Our client a technology outsourcing company specializing in web development mobile application development and AI solutions for international clients is seeking a qualified candidate for the position of AI Lead.
- Lead and manage end-to-end AI/ML projects from requirement gathering planning execution delivery to post-deployment monitoring.
- Work closely with Data Scientists AI Engineers Developers and cross-functional teams to design and deliver AI solutions that meet business needs.
- Translate business requirements into clear technical plans project scopes timelines and deliverables.
- Oversee project progress manage risks and dependencies and ensure timely delivery within the agreed scope and quality standards.
- Coordinate with stakeholders to align project objectives communicate updates and manage expectations throughout the project lifecycle.
- Provide technical guidance and direction across AI/ML initiatives including Machine Learning Deep Learning NLP LLM and Computer Vision projects.
- Support the implementation of AI lifecycle best practices including data collection model training evaluation deployment and monitoring.
- Contribute to the improvement of AI delivery processes MLOps practices and data pipeline management.
Requirements
- At least 5 years of experience as an AI Tech Lead AI Team Lead AI Solution Architect or in a similar leadership role.
- Hands-on experience working with AI/ML/Data projects is required.
- Strong understanding of AI concepts including Machine Learning Deep Learning NLP LLM and Computer Vision.
- Good knowledge of the AI project lifecycle including data collection training evaluation deployment and monitoring.
- Experience using project and development tools such as JIRA Confluence Git and CI/CD.
- Strong English communication skills and stakeholder management capabilities.
- Experience working with cloud platforms such as AWS Azure or GCP is a plus.
- PMP PMI-ACP or Scrum certification is a plus.
- Background in Data AI or Software Engineering is an advantage.
- Experience managing GenAI or LLM projects is a plus.
- Knowledge of MLOps and data pipelines is a plus.
Benefits
- Flexible working hours with check-in time from 8:00 to 9:00 and check-out time from 17:30 to 18:30.
- At least 12 days of paid annual leave for all employees after probation.
- Employees are entitled to leave 30 minutes early for 36 working days depending on company policy.
- Transparent and fair compensation and benefits including weekends off and overtime payment at 150% 200% or 300% in accordance with labor law.
- Performance reviews are conducted twice a year in July and December.
- 13th-month salary is provided.
- Bonus policies include public holiday bonuses individual performance bonuses excellent team awards and performance bonuses ranging from 0.5 to 1 month of salary.
- Additional benefits are provided on special occasions such as Mens Day Womens Day Childrens Day Mid-Autumn Festival and other company events.
- Dynamic working environment with an open culture including year-end parties sports days annual company trips and quarterly team-building activities.
- Monthly Happy Hour activities to encourage team bonding and internal engagement.
- Monthly allowance for employees participating in company clubs such as football badminton pickleball and other activities.
- Modern and comfortable office space with young dynamic and friendly colleagues along with complimentary coffee tea and drinks.
- Strong learning culture with free training courses covering technical skills soft skills presentation skills communication skills and foreign languages.
- Access to the companys online learning system which provides thousands of valuable lectures and learning resources.
- Opportunities to join workshops seminars and tech talks conducted by internal and external experts.
- Opportunity to work with experienced technical experts who have built and operated world-class applications serving millions of users.
- Continuous development of both technical and soft skills through practical work experience and professional training programs.