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Location
In office (Ho Chi Minh City)
Seniority
Middle · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Bosch is a leading global supplier of technology and services, operating across mobility solutions, industrial technology, consumer goods, and energy and building technology. Headquartered in Germany, the enterprise is renowned for its innovations in Internet of Things (IoT) software, automotive components, power tools, and household appliances.

The Bosch Group is a leading global supplier of technology and services. Its operations are divided into four business sectors: Mobility, Industrial Technology, Consumer Goods, and Energy and Building Technology. With technology that is “Invented for life,” Bosch wants to help improve quality of life and conserve natural resources.

The Bosch Group comprises Robert Bosch GmbH and its roughly 490 subsidiary and regional companies in over 60 countries. Including sales and service partners, Bosch’s global manufacturing, engineering, and sales network covers nearly every country in the world. Bosch’s innovative strength is key to the company’s further development.

Bosch Global Software Technologies Company Limited (BGSV) is 100% owned subsidiary of Robert Bosch GmbH, offering end-to-end Engineering, IT, and Business Solutions.

Starting its operation from 2010 at Etown 2 in HCMC, BGSV is the first software development center of Bosch in Southeast Asia. BGSV nowadays have over 4,000 associates, with a global footprint and presence in the US, Europe, and the Asia Pacific region. With our unique ability to offer end-to-end solutions that connect sensors, software, and services, we enable businesses to move from the traditional to digital or improve businesses by introducing a digital element in their products and processes.

BGSV currently operates from three offices located at the following addresses:

1. Etown Building - 364 Cong Hoa Street, Ward 13, Tan Binh District, Ho Chi Minh City, Vietnam

2. OfficeHaus Building - 32 Tan Thang Street, Son Ky Ward, Tan Phu District, Ho Chi Minh City, Vietnam

3. Capital Place Building - 29 Lieu Giai Street, Ngoc Khanh Ward, Ba Dinh District, Hanoi, Vietnam

The Senior Engineer - AI is responsible for developing and implementing machine learning models to address business and technical requirements across product portfolios. This role involves analyzing complex datasets, building predictive models, and preparing AI solutions for deployment into engineering applications.

Main Roles and Responsibilities

  • Design and build scalable AI/ML solutions based on project requirements as per communication and alignment with customer or customer interface.
  • Process and analyze large-scale datasets to extract features and identify patterns for model training.
  • Integrate and deploy AI/ML models into existing software systems and platforms.
  • Apply statistical analysis and data validation techniques to ensure the quality and reliability of training data.
  • Collaborate with cross-functional teams to understand requirements, sharing technical insights, and contributing to solution design to drive continuous improvement and innovation within own domain.
  • Perform model evaluation, validation, and tuning to optimize performance and ensure alignment with business objectives.
  • Mentor junior engineers by providing guidance on machine learning concepts, coding practices, and data analysis techniques.
  • Utilize modern machine learning frameworks including TensorFlow or PyTorch for model development and experimentation.
  • 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.

Mandatory Requirements

  • At least 3-4 years of experience.
  • Proven hands-on experience in developing and deploying machine learning models.
  • Proven experience with modern ML frameworks (e.g., TensorFlow, PyTorch) and programming languages such as Python.
  • Experience working with large datasets and production AI systems.
  • Ability to implement solutions fromscratch and build products across the full product lifecycle based on the following requirements:
    • Generative AI & LLM Engineering: Generative AI, Large Language Models (LLMs), LangChain/LlamaIndex, Vector DB
    • AI Agents & Intelligent Systems: AI Agents/Frameworks, NLP, Model Based Development
    • Machine Learning & Deep Learning: Machine Learning, Neural Network Architectures, PyTorch, OpenCV / Image Processing
    • MLOps & Model Lifecycle: MLOps / ML Lifecycle Management, Model Validation & Evaluation, Data Annotation Basics
    • AI Software & Data Engineering: Python, Data Modelling & Design
  • Proficient in English Communication.
  • Proficient in Office Applications (e.g., MS Word, Excel, PPT).
  • Bachelor’s degree in computer science, Data Science, Engineering, or a related field.
  • Master’s degree is 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
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