Junior_AI_Developer

  • Full-time
  • Legal Entity: Bosch Global Software Technologies Private Limited

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.

Job Description

Roles & Responsibilities :

  • Assist in creating, training, testing, and integrating AI models into applications and services through APIs or frameworks.

  • Develop, train, and evaluate machine learning and deep learning models for various use cases.

  • Perform data collection, cleaning, preprocessing, and feature engineering.

  • Collaborate with data scientists, software engineers, and business teams to translate requirements into technical solutions.

  • Monitor model performance, maintain datasets, and support continuous improvement.

  • Stay current with AI research, tools, and emerging trends.

  • Write clear, maintainable code and contribute to internal documentation.

Qualifications

Required Skills and Qualifications:

  • Any Bachelor’s degree

  • 1–3 years of hands-on experience in AI/ML model development or implementation.

  • Strong proficiency in Python and key AI/ML libraries

  • Good understanding of machine learning fundamentals, including model evaluation and optimization.

  • Familiarity with data visualization tools

  • Experience with version control systems (Git).

  • Strong analytical, problem-solving, and communication skills.

Preferred Qualifications:

  • Knowledge of deep learningnatural language processing (NLP), or computer vision techniques.

  • Exposure to Large Language Models (LLMs) and frameworks such as OpenAI, Hugging Face, or LangChain.

  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.

  • Experience with Flask/FastAPIDocker, or other deployment tools.

  • Understanding of MLOps, model versioning, and monitoring.

  • Participation in hackathons, AI research projects, or open-source contributions.

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