Jr AI/ML Data Science
BoschGroup
Posted: February 18, 2026
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Quick Summary
As a Jr AI/ML Data Scientist, you will be working on several data science projects, including predictive modeling and data visualization using Python and TensorFlow. You will be responsible for analyzing and interpreting large datasets, identifying trends and patterns, and developing machine learning models to drive business decisions. Strong analytical and problem-solving skills required.
Required Skills
Job 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.
Education and Work Experience Requirements:
 ·       3 to 5 years of experience as a Data Scientist / NLP Engineer
·       Proven track record and experience with statistical modeling/data mining algorithms such as:
o   Multivariate Regression, Logistic Regression, Clustering Algorithms, Support Vector Machines, Decision Trees, etc.
o   Machine Learning, Deep Learning, Graph Mining
o   DOE, Forecasting, Segmentation, Uncertainty Analysis
o   Data Mining including Text Mining and Classification Methods – SVM, Neural Networks, etc.
o   Vector Space Models for Unstructured Text
o   Sentiment Analysis, Association Mining, Semantic Analysis
·       Strong experience in working with unstructured text data using transformer-based models and modern NLP techniques.
·       Expertise in building statistical models and/or optimization frameworks to improve processes, products, and business outcomes.
·       Proficiency in one or more programming languages:
o   Python (preferred) or Java
·       Strong hands-on experience with:
o   NLP libraries such as SpaCy, NLTK, Gensim, OpenNLP, CoreNLP
o   Regular Expressions (RegEx) for text parsing, preprocessing, and data extraction
o   Large Language Models (LLMs) and Knowledge Graphs
·       Good knowledge of supervised and unsupervised NLP tasks including:
o   Intent recognition
o   Entity extraction
o   Text classification
o   Question answering
o   Summarization
o   Topic modeling
·       Experience building and fine-tuning Language Models (LMs) such as BERT, ELMo, XLNet, or similar transformer-based architectures for domain-specific NLP use cases.
·       Experience in developing end-to-end AI/ML/NLP pipelines including data ingestion, preprocessing, model development, and deployment.
·       Familiarity with HTML for building simple interfaces, annotation tools, or AI-powered web applications.
·       Experience with containerization tools such as Docker for model packaging, deployment, and scalable AI solution delivery.
·       Tech-savvy with strong exposure to open-source tools and frameworks.
·       Ability to independently handle technical projects and provide technical direction to team members.
·       Experience in converting business ideas into actionable AI solution designs and influencing stakeholders with data-driven insights.
·       Strong communication and storytelling skills with the ability to present complex AI/ML insights to cross-functional stakeholders.
·       Good to have foundational knowledge of:
o   Cloud platforms (AWS/Azure/GCP)
o   API frameworks such as Flask or FastAPI
o   MLOps best practices and model lifecycle management
·       Prior experience in Mobility, Manufacturing, or Healthcare domain is a plus.
Mandatory Skills:
·       Strong hands-on expertise in Python (or Java), NLP, RegEx, SpaCy, NLTK, and transformer-based models.
Educational qualification:
BE/B.Tech or Equivalent Degree
Experience :
3-6 Years
Mandatory/requires Skills :
Strong hands-on expertise in Python (or Java), NLP, RegEx, SpaCy, NLTK, and transformer-based models.
Preferred Skills :