The Lead Engineer - AI is responsible for designing and developing artificial intelligence and machine learning models to address business and technical requirements. This role owns key technical topics within the AI domain, guiding team members in the implementation of robust and scalable solutions across product portfolios.
Main Roles and Responsibilities
- Design and develop AI/ML solutions, including computer vision, GenAI, natural language processing, and predictive analytics, to meet project specifications as per communication and alignment with customer or customer interface.
- Lead the implementation of the full lifecycle of AI/ML solutions, from data acquisition and preprocessing to model deployment and monitoring.
- Own the technical design and architecture for specific AI/ML solutions and features within larger engineering applications.
- Conduct in-depth data analysis and feature engineering to extract insights and improve model accuracy and robustness.
- Implement MLOps best practices, including version control for data and models, automated testing, and CI/CD pipelines for machine learning systems and drive innovation.
- Mentor junior engineers on AI/ML concepts, coding best practices, and the use of modern data science tools and frameworks.
- Apply advanced machine learning frameworks including TensorFlow, PyTorch and statistical methods to build, train, and validate high-performance models.
- Guide team members in resolving complex technical challenges and ensure the quality and integrity of AI/ML work products through technical reviews.
- Ensure compliance with applicable industry standards, regulatory requirements, company policies, and quality frameworks applicable to the role and assigned projects.
- Perform other tasks as assigned by Managers.
Job Requirements
Experience
- Proven professional experience in developing and deploying machine learning models and AI systems.
- Proven experience with modern ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and MLOps practices.
- Experience in owning technical topics and mentoring junior team members is required.
Professional Competence
- AI Agents/Frameworks.
- Data Annotation Basics.
- Data Modelling and Design.
- Generative AI.
- Image Processing Libraries (OpenCV).
- LangChain/LlamaIndex.
- Large Language Models (LLMs).
- Machine Learning.
- MLOps / ML Lifecycle Management.
- Model Based Development.
- Model Validation & Evaluation.
- Natural Language Processing (NLP).
- Neural Network Architectures.
- Python (Programming Language).
- PyTorch.
- Vector DB.
- Code Review
- Solution Design
- Problem Solving.
- Proficient in English Communication
- Proficient in Office Applications (e.g. MS Word, Excel, PPT)
- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related field.
- Relevant certifications in Machine Learning or Cloud Platforms (e.g., AWS, Azure, GCP) are a plus.
Why BOSCH?
Because we don't just follow trends, we create them.
Because together we turn ideas into reality, working every day to make the world of tomorrow a better place. Do you have high standards when it comes to your job? So do we. At Bosch, you will discover more than just work.
Benefits and Career Opportunities
- Working in one of the Best Places to Work in Vietnam
- Join a dynamic and fast growing global company (English-speaking environment)
- 13th-month salary bonus + attractive performance bonus (you'll love it!) + annual performance appraisal
- 100% monthly basic salary and mandatory social insurances in 2-month probation
- Onsite opportunities: short-term and long-term assignments
- 15++ days of annual leave + 1 day of birthday leave
- Premium health insurance for employee and 02 family members
- Flexible working time
- Lunch and parking allowance
- Various training on hot-trend technologies/ foreign language (English/Chinese/Japanese) and soft-skills
- Fitness & sport activities: football, badminton, yoga, Aerobic
- Free in-house entertainment facilities and snack
- Join in various team building, company trip, year-end party, tech talks and a lot of charity events
