Total 137 job vacancies by Bosch Group

Job Description

We are seeking an experienced AI/ML Engineer (5–8 years) with strong hands-on expertise in end-to-end machine learning, GenAI solution development, data engineering, and cloud-native deployment. The role involves building scalable AI systems, designing LLM-based applications, and integrating enterprise-grade MLOps pipelines across any one of Azure, GCP, and AWS environments.

Key Responsibilities

• Design and implement ML and GenAI solutions including RAG pipelines, LLM integrations, prompt engineering, and evaluation/guardrail frameworks.

• Develop and deploy API-based AI applications using FastAPI, Flask, or Plotly Dash.

• Build end-to-end ML pipelines: data ingestion, feature engineering, model training, validation, deployment, and monitoring.

• Work with cross-functional teams to translate business needs into AI-driven outcomes.

• Deploy workloads using Azure App Service, Cloud Run, Azure Bot Service, Dialogflow, and other cloud-native platforms.

• Implement MLOps workflows for CI/CD, model registry, experiment tracking, and automated retraining.

• Build and optimize ETL/ELT pipelines using Azure Data Factory, BigQuery, Databricks, and other data engineering tools.

• Create dashboards and analytical insights using Power BI, Tableau, Looker, QuickSight, or ThoughtSpot.

• Ensure scalable, secure, and cost-optimized deployment across Azure/GCP/AWS environments.

Required Technical Skills

Programming & Languages

• Python (advanced), SQL (strong), HTML/CSS/JavaScript (working knowledge)

LLMs & GenAI

• LangChain, LangGraph

• Google ADK, Vertex AI, AWS Bedrock

• RAG architectures, embeddings, vector retrieval

• Prompt design, evaluation metrics, guardrails/security

• Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Document Intelligence

• Custom model development using GPT, LangChain, and relevant frameworks

• Prompt engineering, LogProbs handling, vector search integrations

Data Engineering & Platforms

• BigQuery, Azure Synapse, Azure Data Factory, Databricks

• Blob Storage, Cloud Storage, Document AI

• Strong understanding of ETL/ELT, feature engineering & data profiling

• Event-driven architecture and streaming systems for agentic workflows

• Data ingestion, transformation, and vector database management

• Ensuring data quality, lineage, governance, and observability

BI & Analytics

• Power BI, Tableau, Looker, ThoughtSpot, QuickSight

DevOps & MLOps

• Docker, CI/CD pipelines

• Model deployment & monitoring

• Vertex AI Agent Engine, model registry, experiment tracking

業務内容

生産計画担当もしくは部品発注担当のいずれかの業務をご担当いただきます（経験や適性を考慮して決定いたします）。

• 生産計画担当
  • 生産計画および進捗管理
  • 受注管理および海外拠点や営業とのインターフェース、折衝
• 部品発注担当
  • 生産計画および進捗管理
  • アロケーション対応
  • 海外拠点やサプライヤとのインターフェース、折衝
• 共通業務
  • KPI管理
  • 改善活動の企画と実施（品質、コスト、納期遵守）
  • 工場のDigitalization実現のための活動およびプロセス改善活動

業務をとおして貢献できること・学べる事

刻一刻と変化するサプライチェーンのダイナミックさを体感したり、チームワークで困難な状況を乗り越えていくところにやりがいや面白さがあります。生産管理としての専門性を身につけることだけではなく、国内外のステークホルダーとコミュニケーションをとる中で、ネットワークを広げることができ、様々なチャレンジを通して、ご自身の成長を感じることができると思います。

Your Responsibility & Tasks:

You will be assigned either to production planner or procurement planner based on your experience and aptitude.

• Production planner tasks
  • Production planning
  • Production progress management
  • Order management and Interface to sales and overseas plants
• Procurement planner tasks
  • Procurement planning
  • Procurement progress management
  • Allocation management
  • Interface to suppliers and overseas plants
• Common tasks
  • Logistics KPI tracking
  • Improvement activities (quality, cost, delivery)
  • Digitalization activities and process improvement

What you can expect

You can experience the dynamics of global supply chain by engaging yourself to the ever-changing logistics world. Overcoming challenges with your colleagues will be interesting to you. Not only will you get logistics expertise, but also you will extend your network through communication with a various stakeholders including overseas/suppliers and Bosch plants. You can feel your own growth through exiting challenges.