Total 38 structural engineer job vacancies

The purpose of this position is to manage daily maintenance operations with a team of maintenance personnel to ensure machine and equipment availability, reliability, efficiency, and adherence to quality and safety standards for production

• Repair and Maintenance                                                                                                                          Perform repairs and maintenance tasks to rectify issues identified during inspections or troubleshooting. MTBF, Plan vs Unplanned Ratio, blue collar associate Skill Level Index
• Maintenance reporting and spares planning
  Provide regular reports on maintenance activities, repairs, and equipment status to stakeholders. Track key department KPIs such as MTBF, MTTR, PMI completion and other relevant metrics. Keep track of spare parts inventory, plan and initiate procurement processes as needed.
  Dept SQCD targets, R&M Budget, MAZE Inventory
• Task allocation and monitoring
  Allocate maintenance tasks, repairs, inspections, and preventive maintenance activities to team members based on skill levels, workload, and equipment needs. Plan regular inspections to identify potential issues, wear and tear, or signs of malfunction, and address them before they escalate.
  TPM Step Level
• Trouble shooting
  Provide quick response and support in diagnosing and trouble shooting maintenance problems, using the technical expertise and collaboration with the team to find effective solutions. Participate in TPM activities.
  MTBF, MTTR
• Maintenance analysis and optimization.
  Document and analyse maintenance activities, repairs, inspections, maintenance schedules, equipment history, trends, to identify areas of improvement and implement necessary changes. Identify opportunities for Digital projects, smart automation, cost reduction, improvements etc.
  Kaizen, Lessons Learned, Employee Suggestions
• Competency Requirement

Knowledge:

• Advance knowledge and understanding of Machine elements and control systems.
• Advance knowledge on electrical and mechanical safety.
• Advance knowledge on lean principles, IATF standards

Functional Skills:

• Advance knowledge in Diagnosis & Trouble shooting skills of machine elements
• Advance knowledge in Root cause identification & correctives Actions, Machine & gauge capability

The purpose of this position is to manage daily maintenance operations with a team of maintenance personnel to ensure machine and equipment availability, reliability, efficiency, and adherence to quality and safety standards for production

• Repair and Maintenance                                                                                                                          Perform repairs and maintenance tasks to rectify issues identified during inspections or troubleshooting. MTBF, Plan vs Unplanned Ratio, Blue collar Associate Skill Level Index
• Maintenance reporting and spares planning
  Provide regular reports on maintenance activities, repairs, and equipment status to stakeholders. Track key department KPIs such as MTBF, MTTR, PMI completion and other relevant metrics. Keep track of spare parts inventory, plan and initiate procurement processes as needed.
  Dept SQCD targets, R&M Budget, MAZE Inventory
• Task allocation and monitoring
  Allocate maintenance tasks, repairs, inspections, and preventive maintenance activities to team members based on skill levels, workload, and equipment needs. Plan regular inspections to identify potential issues, wear and tear, or signs of malfunction, and address them before they escalate.
  TPM Step Level
• Trouble shooting
  Provide quick response and support in diagnosing and trouble shooting maintenance problems, using the technical expertise and collaboration with the team to find effective solutions. Participate in TPM activities.
  MTBF, MTTR
• Maintenance analysis and optimization.
  Document and analyse maintenance activities, repairs, inspections,maintenance schedules, equipment history, trends, to identify areas of improvement and implement necessary changes. Identify opportunities for Digital projects, smart automation, cost reduction, improvements etc.
  Kaizen, Lessons Learned, Employee Suggestions

Knowledge:

• Advance knowledge and understanding of Machine elements and control systems.
• Advance knowledge on electrical and mechanical safety.
• Advance knowledge on lean principles, IATF standards

Functional Skills:

• Advance knowledge in Diagnosis & Trouble shooting skills of machine elements
• Advance knowledge in Root cause identification & correctives Actions, Machine & gauge capability

https://rb-wam.bosch.com/apxrbinapxp/r/rbinapexprod/jdhub/job-description6?p46_jd_domain=3&p46_jd_sub_domain=27&p46_jd_id=264&p46_layer=3&p46_page_no=45&request=T&clear=46&session=105367755320465&cs=1HG_469v44U9zquB7Yxf4aOCP2jhTOkH1x-1NO533cp-3Kv6J3b1RYFgWc7IBhxfCg0ccS3P3t8sDyjSTJAxASA

Detailed ResponsibilitiesExecute circuit design activities for power electronics hardware used in EV traction inverter systems.Study input requirements, applicable specifications, and design constraints for assigned tasks.Perform component selection and support RFQ generation for approved design concepts.Conduct engineering calculations including worst-case analysis, power loss estimation, and efficiency calculation.Support design optimization for electrical performance, thermal behavior, manufacturability, and cost.Coordinate technically with application engineers and other interfacing teams during design and validation activities.Prepare unit test specifications, review test conditions, and establish required test setups.Carry out unit testing and high-voltage testing of the developed hardware.Investigate hardware failures and support root cause analysis and corrective action definition.Document test outcomes and prepare reports for internal and customer reviews.Create and update OPLs arising from review discussions and support closure tracking.Develop required test jigs and fixtures for execution of validation activities.Support commissioning and initial bring-up of hardware during prototype evaluation.

Job Description: Lead Gearset & Planetary design for e-Axle transmission projects, including acquisition, customer, and innovation projects, ensuring “ON Spec, ON Time, ON Cost” Evaluate Transmission Endurance & Overload Requirement & develop Cost & Performance optimal solution Own concept to B/C/D Sample design release of gearsets and planetary gear trains for e-Axle transmissions, ensuring durability, NVH, efficiency and package compliance. Lead cross-functional integration for Gearset realization with FEA, Testing, Purchase, Supplier ,Quality and Manufacturing for B & C & D sample Perform Macro-geometry sizing (module, face width, helix, pressure angle) to meet vehicle targets and e-Axle duty cycles. Perform Micro-geometry design & profile optimization (crowning, lead correction) using MASTA/ROMAX/KISSsoft; LTCA and scuffing/pitting checks. Execute Shaft/spline design, fits and tolerances, bearing selection and gearbox stack-up.Planetary Gearset Design Responsibility Architecture selection: single-stage, compound, and double-pinion planetary sets; ratio planning and power flow definition. Perform Macro-geometry calculations for sun/planet/ring (module, teeth numbers, profile shifts) to meet ratio, efficiency and strength targets. Perform Micro-geometry and contact pattern optimization for load sharing across planets, planet phasing strategy and float considerations. Design Carrier (forged/cast) including struts/spiders, pin sizing, retention (press fit/shouldered/snap ring), and stiffness optimization. Design Bearing concepts for planet pins (needle/roller/bronze bush) with L10 life calculations and lubrication paths. Design Ring gear (machined/insert, integral housing ring), spline and bolted interfaces Efficiency modeling, churning loss estimation; lubrication selection (spray/splash/active) and oil flow features. Review and release 3D models and 2D drawings created in NX, ensuring compliance with design standards and Bosch guidelines. Develop, maintain, and continuously improve Gearset design guidelines, standards, and best practices. Mentor and guide external designers and ensure delivery targets for Quality, Cost, and Delivery (QCD). Required SkillsTools / Software Skills: KISSsoft MASTA UG-NX TeamcenterTechnical & Soft Skills: Strong know how of Gearset design with gear tribology, LTCA, bearing life, gear/lubrication standards ISO/DIN/AGMA. Solid manufacturing expertise on Hobbing, shaping, skiving, shaving, grinding, honing; heat treatment (carburizing, nitriding). Proven experience in optimizing Macro, Micro ,Shaft and Material Excellent communication and cross-functional coordination skills. Good working knowledge of FMEA, DRBFM, and systematic problem-solving methodologies. Competency in technical risk management.

Design and Development activities (Platform & Customer projects for PS-TC).Acquisition support activitiesCreate and maintain 3D models, detailed manufacturing drawings, Offer drawings and technical specifications.Design and development of fixtures and adapters for testing and validation.Identify and resolve design challenges, applying innovative engineering principle and best practices.Conduct detailed engineering analysis, including stress analysis, thermal analysis, and tolerance studies.Evaluate materials, manufacturing processes, and cost considerations to optimize designs.Prepare technical documentation, including reports and presentations.Collaborate with cross-functional teams, including engineers, manufacturing teams, and project managers, to ensure design feasibility and alignment with project goals

Design and Development activities (Platform & Customer projects for PS-TC).Acquisition support activitiesCreate and maintain 3D models, detailed manufacturing drawings, Offer drawings and technical specifications.Design and development of fixtures and adapters for testing and validation.Identify and resolve design challenges, applying innovative engineering principle and best practices.Conduct detailed engineering analysis, including stress analysis, thermal analysis, and tolerance studies.Evaluate materials, manufacturing processes, and cost considerations to optimize designs.Prepare technical documentation, including reports and presentations.Collaborate with cross-functional teams, including engineers, manufacturing teams, and project managers, to ensure design feasibility and alignment with project goals

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