Company Description

The Bosch Group is a leading global supplier of technology and services. Since the beginning of 2013, its operations have been divided into four business sectors: Automotive Technology, Industrial Technology, Consumer Goods, and Energy and Building Technology.

The Bosch Group comprises Robert Bosch GmbH and its roughly 360 subsidiaries and regional companies in some 50 countries. If its sales and service partners are included, then Bosch is represented in roughly 150 countries. This worldwide development, manufacturing, and sales network is the foundation for further growth.

Bosch Global Software Technologies Company Limited (BGSV) is 100% owned subsidiary of Robert Bosch GmbH - one of the world’s leading global suppliers of technology and services, 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.

Job Description

This position will be contracted through Bosch’s external vendor under a one-year agreement.

A Junior AI Engineer in this specific context focuses on the foundational "heavy lifting" of the AI lifecycle. Your role is to assist in the validation of legacy data—cleaning and labeling "dark data"—and helping integrate modern AI models into our global workflow product to automate IT operations.

You will support the Senior AI Engineers in bridging the gap between legacy systems and next-generation product features. This is a highly technical, hands-on role where you will learn to build data pipelines that feed into real-world, global AI applications.

Key Responsibilities

• Data Archeology & Cleaning: Assist in extracting and preprocessing unstructured data from legacy logs, tickets, and databases to create high-quality training sets.
• Model Implementation: Support the deployment and fine-tuning of machine learning models (e.g., NLP for ticket classification or time-series for predictive maintenance).
• Testing & Validation: Conduct rigorous testing of AI outputs to ensure accuracy and fairness across different global regions and user languages.
• API & Integration: Build and maintain the "plumbing" (APIs) that connects AI model outputs to the front-end IT workflow product.
• Documentation: Maintain detailed records of data lineage and model versions to ensure compliance with global data standards like GDPR.
• Continuous Learning: Stay current on emerging Generative AI trends and suggest ways to apply them to legacy data challenges.

Qualifications

Technical Skills

• Education: Bachelor’s degree in Computer Science, Data Science, or Mathematics. Relevant AI Certifications are a plus.
• Programming: Strong proficiency in Python (specifically libraries like Pandas, NumPy, and Scikit-learn).
• Data Handling: Solid understanding of SQL and experience with data extraction from relational databases.
• Foundational ML: Basic knowledge of Supervised/Unsupervised learning and experience with GitHub for version control.
• Tooling: Familiarity with Jupyter Notebooks and basic exposure to cloud environments (AWS, Azure, or GCP).

Soft Skills

• Persistence: A high tolerance for "messy" data and the patience required for data mining legacy systems.
• Global Collaboration: Ability to work effectively in an Agile/Scrum environment with teammates across multiple time zones.
• Analytical Curiosity: A desire to understand the "why" behind IT workflow patterns, not just the "how" of the code.

Additional Information

Further details regarding benefits will be shared during the interview process