Job Description

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.

Roles & Responsibilities :

Machine Learning & Data Science:

Develop and implement

advanced statistical models, predictive analytics, and optimization frameworks

. Research, develop, and apply

ML, Deep Learning, and AI techniques

on large datasets. Conduct

exploratory data analysis (EDA)

and apply feature engineering techniques. Optimize and tune ML models for performance, scalability, and accuracy.

Large Language Models (LLMs) & NLP:

Fine-tune and customize

LLMs (GPT, LLaMA, Falcon, etc.)

for enterprise use cases. Implement

Retrieval Augmented Generation (RAG)

pipelines for chatbots and knowledge retrieval. Work with

vector databases for semantic search

. Deploy

LLM-powered applications for document summarization, sentiment analysis, and automation

.

AI & Data-Driven Business Insights:

Translate complex AI/ML models into

actionable business insights

. Partner with stakeholders to define data requirements and ensure the

right data is captured

. Develop

proof-of-concept solutions

demonstrating AI and ML capabilities.

Deployment & MLOps:

Deploy AI/ML models using

cloud technologies (Azure, AWS, GCP)

. Work with

Docker, Kubernetes, and CI/CD pipelines

for scalable ML deployment.

Continuous Learning & Innovation:

Stay updated with the latest trends in

AI, LLMs, GenAI, and cloud-based ML platforms

.

Qualifications

Qualifications & Skills

4 - 6 years of experience working as a data scientist

Technical Skills:

Strong experience in

Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras, SciPy)

. Hands-on expertise with

LLMs, NLP techniques, and vector search (LangChain, Hugging Face)

. Solid understanding of

statistics, probability, and data science methodologies

. Experience with

data pipelines (ETL, Spark, Hadoop, SQL, NoSQL, Data Lakes)

. Knowledge of

Cloud AI services (Azure ML, AWS SageMaker, GCP Vertex AI)

. Strong software engineering principles with experience in

Jupyter Notebooks, API development, and workflow automation

. Solid understanding of Cloud Technologies (ideally Microsoft Azure) and SQL are beneficial

Soft Skills:

Excellent

communication, presentation, and collaboration

skills. Ability to

translate AI/ML insights into business impact

. * Self-motivated with a

continuous learning mindset