Technical Lead AI (Python)

ACG_3673_JOB 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 3–6 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 Men’s Day, Women’s Day, Children’s 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 company’s 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.