[BD] Junior Artificial Inteligence Developer at Bosch

Role overview

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 Help with 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.

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: Help with 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 Maintain 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 Maintain 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

• At least 2 years of software engineering experience, including strong hands-on AI agent system development experience.
• 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 in data extraction from relational databases.
• Foundational ML: Basic Understanding of Supervised/Unsupervised learning and experience in GitHub for version control.
• Tooling: Exposure to Jupyter Notebooks and basic exposure to cloud environments (AWS, Azure, or GCP).
• Persistence: A high tolerance for "messy" data and the patience required for data mining legacy systems.
• Global Collaboration: Able 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.

Technology in this role

• AI: A Junior AI Engineer in this specific context focuses on the foundational "heavy lifting" of the AI .
• Python: Programming: Strong proficiency in Python (specifically libraries like Pandas, NumPy, and .
• SQL: Data Handling: Solid understanding of SQL and experience in data extraction from relational .
• scikit-learn: Programming: Strong proficiency in Python (specifically libraries like Pandas, NumPy, and .
• AWS: Tooling: Exposure to Jupyter Notebooks and basic exposure to cloud environments (AWS, Azure, or .
• Azure: Tooling: Exposure to Jupyter Notebooks and basic exposure to cloud environments (AWS, Azure, or .
• GCP: Tooling: Exposure to Jupyter Notebooks and basic exposure to cloud environments (AWS, Azure, or .

Role-specific candidate guide

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

Understanding the scope. This [BD] Junior Artificial Inteligence Developer 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: “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…” 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 software engineering 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 “Data Archeology & Cleaning: Assist in extracting and preprocessing unstructured data from legacy logs, tickets, and databases to create high-quality training sets.”; “Model Implementation: Help with 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 Maintain accuracy and fairness across different global regions and user languages.”. 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.

Benefits

• Build enterprise AI systems used by hundreds of thousands of users worldwide.
• Work on large-scale Agentic AI and AI-native workflow transformation initiatives.
• Collaborate with global Product, Engineering, and AI teams.
• Solve complex real-world enterprise AI challenges with measurable business impact.
• Competitive compensation and 13th-month bonus.
• Premium healthcare and accident insurance.
• Flexible and international working environment.

About Bosch

Bosch Global Software Technologies develops engineering and software solutions within the Bosch Group. Its Vietnam development centre is based in Ho Chi Minh City and works with international teams.

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