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 27,000+ 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 :
Coordinate and consult the design, development, and deployment of AI and machine learning models across varied problem statements.
Own the end-to-end AI model lifecycle -- data exploration, feature engineering, model selection, training, validation, testing, and deployment.
Build and maintain robust AI pipelines for continuous integration, retraining, and scalability of models.
Develop APIs, microservices, or frameworks for embedding AI models into production applications.
Conduct model performance benchmarking and implement optimization techniques for accuracy, latency, and efficiency.
Research and implement state-of-the-art AI algorithms and architectures to enhance solution performance and adaptability.
Collaborate with data scientists and product teams to align models with real-world business use cases.
Ensure traceability, explainability, and compliance in all AI models developed.
Mentor junior AI developers, review code, and contribute to establishing AI development best practices.
Stay current with emerging trends in AI, MLOps, and generative AI tools to guide continuous innovation.
Qualifications
Required Skills & Qualifications
Any Bachelor's or Master's degree
3-6 years of hands-on experience in AI model development, deployment, and optimization.
Strong command of Python and libraries
Deep understanding of machine learning algorithms, model training workflows, and deep learning architectures (CNN, RNN, Transformers).
Experience with data wrangling, preprocessing, and feature engineering for model readiness.
Skilled in developing and integrating models via APIs (Flask, FastAPI) and containerization using Docker.
Proficiency in model evaluation metrics, hyperparameter tuning, and performance analysis.
Experience with Git and collaborative code development workflows.
Strong analytical mindset and ability to troubleshoot complex model behaviors.
Preferred Qualifications:
Experience working with Large Language Models (LLMs), Generative AI, or prompt engineering
Familiarity with cloud AI platforms
Knowledge of MLOps practices -- CI/CD for ML, model monitoring, and retraining pipelines.
Exposure to computer vision or NLP-based AI systems.

Skills Required