Company Description

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.

Job Description

Roles & Responsibilities :

• Design and develop scalable machine learning models for predictive analytics, classification, and optimization tasks.

• Work closely with data engineering teams to gather, clean, and transform large-scale data for model training and evaluation.

• Conduct A/B testing and performance monitoring of deployed models.

• Communicate complex model outcomes and business impact to stakeholders in a clear and concise manner.

• Contribute to model lifecycle management, including retraining pipelines and MLOps best practices.
   

Qualifications

Educational qualification:

• Master’s or PhD in Computer Science, Data Science, Mathematics, or related field.

• BE/BTECH in computer Science

Experience :

< 2yrs industrial experience

Mandatory/requires Skills :
Core Technical Skills (Traditional + Modern AI)

1. Machine Learning & Statistical Analysis

   • Classical ML (regression, classification, clustering, time-series)

   • Ensemble methods, boosting, decision trees

2. Deep Learning

   • CNNs for image analysis, RNNs/LSTMs/Transformers for sequence/time-series data

   • Frameworks: TensorFlow, PyTorch

3. Programming Languages

   • Python (must-have), plus SQL

   • Familiarity with R or MATLAB is a plus in engineering contexts

4. Data Engineering

   • Handling large-scale data, ETL, pipeline design

   • Tools: Spark, Airflow, dbt, etc.

5. Visualization & Reporting

   • Python (Seaborn, Plotly), Tableau, Power BI

AI / GenAI / Agentic AI Skills

1. Generative AI (GenAI)

   • Experience with LLMs (e.g., GPT-4, Claude, LLaMA) and frameworks like LangChain or Haystack

   • Fine-tuning or prompt engineering for domain-specific tasks (e.g., maintenance logs, technical documents)

   • Use of GenAI for report generation, document summarization, and automated insights

2. Agentic AI Systems

   • Designing autonomous agents capable of multi-step reasoning and action (e.g., Auto-GPT, BabyAGI, CrewAI)

   • Chaining models and tools to solve engineering workflows (diagnosis, optimization, scheduling)

   • Using tools like LangGraph, ReAct, and OpenAI function-calling or tool-use APIs

3. AI Tool Integration

   • Building AI-powered tools (e.g., chatbots for field engineers, document QA systems)

   • Leveraging vector databases (e.g., FAISS, Pinecone) for retrieval-augmented generation (RAG)

Preferred Skills :

1. Sensor & IoT Data Analysis

   • Real-time data processing, anomaly detection, predictive maintenance

2. Simulation & Modeling

   • Integration with engineering simulation data, digital twins

3. Optimization & Control

   • Operations research, control systems, system dynamics, reinforcement learning for control tasks

Additional Information

Requirements:

• Strong programming skills in Python, R, or Scala with proficiency in ML libraries (scikit-learn, XGBoost, TensorFlow, PyTorch).

• Solid understanding of statistical modeling, data mining, and