Problem Solving Self Motivated
- Develop AI algorithms: Research, implement and optimize machine learning and deep learning models for practical applications - Build AI components: Create and integrate AI solutions into our product ecosystem using modern frameworks - Apply LLM, Computer Vision, Speech AI Models: Implement text understanding, image recognition, voice recognition and generative AI capabilities - Optimize model performance: Improve accuracy, speed, and efficiency of AI models through systematic testing - Collaborate cross-functionally: Work closely with data engineers, software developers, and product teams to implement AI initiatives
- Technical foundation: 1-3 years experience with Python programming and AI/ML frameworks (TensorFlow, PyTorch, Hugging Face) - AI knowledge: Practical understanding of machine learning concepts, neural networks, and model training pipelines - Data skills: Experience with data preprocessing, feature engineering, and model evaluation - Problem-solving aptitude: Ability to approach complex problems methodically and develop creative solutions - Continuous learning mindset: Enthusiasm for staying current with AI research and implementing new techniques - Version control: Proficiency with Git and collaborative development workflows - Strong English skills: Ability to understand technical documentation and communicate within the team
- Flexible timekeeping (from 8:00 - 9:00 to 17:30 - 18:30) - Minimum 14 paid leaves per annum for all employees after probation - 01-day remote work per month - A flexitime allowance of 90-180 minutes per month for employees - 01 hour paid leave per day for women having children under 12 months - Social insurance, health insurance, unemployment insurance and MIC care insurance - Saturday & Sunday OFF, Overtime pay is 150%, 200%, 300% as per labor law; - Work performance review 2 times/ year (in April and October) - 13th-month salary - Bonus Policy: Public holidays (2/9, 30/4, 1/5, 1/1,...); Personal Performances; Excellent Team; - - Performance bonus in Token of the project;.. - Men’s Day, Women’s Day, Children’s Day, Mid-Autumn Festival and other benefits under the - provisions of the company - Year-end party, sports day, yearly company trip and quarterly team building,...with a generous budget - Socialize with colleagues through monthly Happy Hour - Monthly allowance when joining clubs: Soccer, Swimming, Yoga, Music,... - Nice & modern working space with young, dynamic & friendly colleagues and free coffee, tea, drinks,... - Flat, open and sharing culture with friendly management team; outsourcing company with product mindset -Free training courses for technical and soft skills (presentation skills, communication skills, foreign language courses,...) - Account to log in to our online learning system, which contains thousands of valuable lectures (LMS) - Participate in workshops, seminars, tech talk,... with sharing from experts inside and outside the company - Working opportunities with technical gurus who built and operated world-class applications with millions of users.
- Experience with LLMs, RAG architecture, or fine-tuning foundation models - Familiarity with vector databases and embedding techniques - Understanding of MLOps and model deployment pipelines - Background in computer vision, natural language processing, or generative AI - Experience with cloud AI services (AWS, GCP, Azure)