Design, train, and fine-tune Machine Learning and Deep Learning models including Large Language Models (LLMs), Natural Language Processing (NLP), and Computer Vision solutions for business applications.
Conduct research on state-of-the-art AI and Machine Learning techniques and implement findings into practical solutions.
Translate academic research papers and theoretical concepts into functional prototypes and scalable production-ready APIs.
Collaborate with data engineering teams to develop efficient data collection, cleaning, preprocessing, and augmentation pipelines.
Analyze model performance using appropriate evaluation metrics and identify areas for improvement.
Optimize AI and Machine Learning models for accuracy, latency, scalability, and resource efficiency.
Develop and deploy production-grade AI solutions that align with business and technical requirements.
Maintain detailed documentation of experiments, model architectures, methodologies, and performance results.
Participate in research and development initiatives to explore innovative AI technologies and applications.
Work closely with cross-functional teams to integrate AI solutions into existing products and platforms.
Skill(s) required
Algorithms APIs AWS CloudFormation C++ Programming Computer Vision Data Engineering Deep Learning Google Cloud Platforms (GCP) Java Keras Machine Learning Microsoft Azure Natural Language Processing (NLP) Probability Python PyTorch scikit-learn TensorFlow
Who can apply
Only those candidates can apply who
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Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field.
Strong proficiency in Python programming.
Familiarity with C++ or Java programming languages.
Hands-on experience with PyTorch, TensorFlow, Keras, or Scikit-learn frameworks.
Strong understanding of algorithms, data structures, probability, and linear algebra.
Successful completion of a relevant AI/ML internship.
Ability to read, understand, and implement advanced research papers.
Strong analytical and problem-solving skills.
Published research papers or contributions to open-source AI projects will be preferred.
Experience with cloud AI platforms such as AWS SageMaker, Azure AI, or Google Cloud Platform will be an advantage.
Salary
Probation:
Duration:
Salary during probation: After probation:
Annual CTC: Competitive salary
Number of openings
1 Editor’s note
Information above is Internshala's interpretation and paraphrasing of what we found on the shared link.
About Bosch
Bosch is a leading global technology and engineering company headquartered in Gerlingen. Founded in 1886 by Robert Bosch, the company operates across multiple sectors including mobility solutions, industrial technology, consumer goods, and energy and building technology. Bosch is known for its innovations in automotive systems, software solutions, artificial intelligence, Internet of Things (IoT), manufacturing technologies, and smart products. With operations in numerous countries worldwide, Bosch focuses on developing sustainable and connected technologies that improve quality of life while driving digital transformation across industries.
