
Senior_AI_developer
About the role
Roles & Responsibilities:
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Implementation & validation of AI-powered solutions with modular, reusable components using Python, REST APIs & in-house developed AI framework/s.
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Contribute to the development of AI pipelines, from data ingestion to model deployment and monitoring.
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Collaborate across domains to integrate AI/LLM capabilities to realize use cases such as AI-powered ASPICE assessments, Artefacts evaluation, etc.
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Optimize agent behavior for safety, efficiency, and explainability.
Technical Skills:
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- Strong programming background in Python with experience in AI/ML frameworks (e.g., Lang Chain, Hugging Face, OpenAI APIs).
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Knowhow of RAG concept.
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Understanding of LLMs, Embeddings, and multi-model reasoning.
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API orchestration, and GenAI prompt engineering.
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Familiarity with tools like Git,GITHUB ,versioning concepts.
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Strong analytical and problem-solving skills with a user-centric design mindset.
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Familiarity of A2A,MCP protocols.+
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Workflow Management: Experience with workflow automation tools like Power Automate, n8n,
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Hands-on experience with GenAI foundation models and vector databases, leveraging foundational AI models for advanced capabilities.
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Familiarity with automotive standards such as ASPICE PAM model .(Good to have)
Educational qualification:
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Any Bachelor’s or Master’s degree
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3–4 years of hands-on experience in AI model development, deployment, and optimization.
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Strong command of Python and libraries
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Deep understanding of machine learning algorithms, model training workflows, and deep learning architectures (CNN, RNN, Transformers).
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Experience with data wrangling, preprocessing, and feature engineering for model readiness.
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Skilled in developing and integrating models via APIs(Flask, FastAPI) and containerization using Docker.
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Proficiency in model evaluation metrics, hyperparameter tuning, and performance analysis.
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Experience with Git and collaborative code development workflows.
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Strong analytical mindset and ability to troubleshoot complex model behaviors.
Preferred Qualifications:
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Experience working with Large Language Models (LLMs),Generative AI, or prompt engineering
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Familiarity with cloud AI platforms
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Knowledge of MLOps practices — CI/CD for ML, model monitoring, and retraining pipelines.
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Exposure to computer vision or NLP-based AI systems.
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3–4 years of hands-on experience in AI model development, deployment, and optimization.
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.
About Bosch
pune
Headquarters