Data Service AI Engineer at Bosch

Confirmed open

Develop AI and data solutions for Bosch manufacturing in Đồng Nai, and operate data pipelines, dashboards and digital services. The posting seeks machine-learning and predictive-modeling experience.

Bosch

Location: Long Thanh, Dong Nai, Vietnam
Employment: Full-time

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Role overview

Bosch first started its operations in Vietnam in 1994 and registered a wholly-owned subsidiary in 2008. According to the business strategy of Bosch in Vietnam, from 1st July 2014 on all business entities were merged into Bosch Vietnam Co. Ltd. with its head office at Ho Chi Minh City plant (HcP) in Dong Nai Province.

HcP has started its belt assembly in a rented building on 1st August 2008 as the assembly plant of Tilburg Plant (TbP). On 14th April 2011, HcP celebrated the inauguration of the new plant (Lth101 with 17,000 sqm), which did not only allow to increase the production depth, but also to facilitate the push belt assembly of this high-tech product. On 3rd July 2012 HcP marked a big milestone by starting to produce the second component (loop-set) for its push belt. Since November 2012, HcP doubled the production floor space and increase the net total floor space up to 56.000 m², and have successfully increased its production capacity and realized a lot of new line SOP’s.

For further information, please visit our website: www.bosch.com.vn

Provide, consult and develop optimal AI & data-related solutions / products for HcP that satisfy business demands, cost competitiveness, timeline, efficient sustainability and scalability. Ensure quality and on-time deliveries for responsible work package in HcP digital projects

Maintain excellent operation for in-charge data services (e.g systems, tools, dashboards, platform, data pipeline, etc) inc. incident/ problem management, IT change management, CIP, etc.

Knowledge management: acquire suitable knowledge/ skills for service sustain and development. Transfer knowledge as per assignment for relevant parties (proxy, newhire, user departments)

Major: Computer Science, Applied Statistics, Mathematics, Electronics, Automation

At least 3-year experience in manufacturing environment

Possess knowledge of statistical and predictive modeling concepts, machine learning approaches, data mining, clustering and classification techniques, recommendation and optimization algorithms

Experience in programming languages, network, database and IT matter incl. international standards

Competitive salary, bonuses and allowances

Career development in the Bosch group worldwide

Top employer in mechanical engineer jobs and employee development policy.

Responsibilities

Provide, consult and develop optimal AI & data-related solutions / products for HcP that satisfy business demands, cost competitiveness, timeline, efficient sustainability and scalability. Ensure quality and on-time deliveries for responsible work package in HcP digital projects
Maintain excellent operation for in-charge data services (e.g systems, tools, dashboards, platform, data pipeline, etc) inc. incident/ problem management, IT change management, CIP, etc.
Knowledge management: acquire suitable knowledge/ skills for service sustain and development. Transfer knowledge as per assignment for relevant parties (proxy, newhire, user departments)
Other tasks assigned by manager

Qualifications

Degree: Bachelor or Master Degree
Major: Computer Science, Applied Statistics, Mathematics, Electronics, Automation
Possess knowledge of statistical and predictive modeling concepts, machine learning approaches, data mining, clustering and classification techniques, recommendation and optimization algorithms
Competitive salary, bonuses and allowances
Career development in the Bosch group worldwide
Top employer in mechanical engineer jobs and employee development policy.

Technology in this role

The available source copy does not provide a named technology stack for this opening. Check the employer posting for project-specific tools and systems before applying.

Role-specific candidate guide

Preparation notes based on the employer’s stated responsibilities and qualifications.

Understanding the scope. This Data Service – AI Engineer position at Bosch is best assessed through the work described in the employer’s posting, rather than the title alone. The available role overview says: “Bosch first started its operations in Vietnam in 1994 and registered a wholly-owned subsidiary in 2008. According to the business strategy of Bosch in Vietnam, from 1st July 2014 on all business entities were merged…” Read that statement together with the responsibilities below to understand the likely balance between delivery, coordination and technical decision-making. The role belongs to the AI and data area, but that label is only a guide to the work; the employer’s own requirements remain decisive. Before applying, check the original listing for reporting lines, product or team assignment, employment terms and any details that may have changed since this copy was checked. Where this page says a fact is not specified, treat it as an open question rather than an implied promise.

What the responsibilities signal. The posting specifically names “Provide, consult and develop optimal AI & data-related solutions / products for HcP that satisfy business demands, cost competitiveness, timeline, efficient sustainability and scalability. Ensure quality and…”; “Maintain excellent operation for in-charge data services (e.g systems, tools, dashboards, platform, data pipeline, etc) inc. incident/ problem management, IT change management, CIP, etc.”; “Knowledge management: acquire suitable knowledge/ skills for service sustain and development. Transfer knowledge as per assignment for relevant parties (proxy, newhire, user departments)”. For each duty, identify a project where you performed comparable work and be ready to describe the context, your own contribution, constraints, decisions, and measurable result. Explain how you moved from the initial need to implementation, review, release or operational follow-through, where those stages apply. If the work involved other teams or users, distinguish your decisions from.

About Bosch

Bosch is the employer for this vacancy. The linked official posting is the source for current company information and the role-specific team context.

Employer website

How to apply

Review the original posting and apply through the employer’s careers page.

View source and apply

Source checked: 2026-10-11

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