Jr AI/ML Data Science at Bosch Group

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

19 May, 26

Salary

0.0

Posted On

18 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Java, NLP, RegEx, SpaCy, NLTK, Transformer-based Models, Deep Learning, Data Mining, Text Mining, Sentiment Analysis, LLMs, Knowledge Graphs, Docker, Flask, FastAPI

Industry

Software Development

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. Job Description 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. Qualifications 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 : Legal Entity: Bosch Global Software Technologies Private Limited

Responsibilities

The role involves building statistical models and optimization frameworks to enhance processes, products, and business outcomes, with a strong focus on leveraging unstructured text data using modern NLP techniques and transformer-based models. Responsibilities include developing end-to-end AI/ML/NLP pipelines from data ingestion through model deployment.