The LA AI & Data Center of Excellence seeks a highly skilled and motivated Senior Data Scientist to join our team. This role focuses on developing and deploying cutting-edge AI solutions emphasizing automation software engineering best practices and production-ready code. This role requires proficiency in Python programming and experience with various machine learning deep learning generative and agentic AI.
The successful candidate will work on projects across diverse business units directly impacting critical decision-making and driving innovation.
You will lead the development of intelligent systems with a strong emphasis on software and AI engineering best practices automation and continuous delivery.
Qualifications :
Experience and knowledge (Mandatory):
Strong experience in Data Science Machine Learning or AI Engineering roles demonstrating a history of delivering impactful AI solutions.
Expert-level Pythonprogramming including Pandas Polars NumPy Scikit-learn TensorFlow PyTorch Keras and experience with RESTful API development. Experience with Flask/FastAPI for API development is a plus.
Strong software engineering foundation:Version control (Git) unit testing CI/CD pipelines Clean Code principles and containerization (Docker Kubernetes).
Strong understanding of programming logic and object-oriented programming (OOP) principles to design modular reusable and maintainable code structures.
Proven experience inend-to-end ML (Machine Learning) lifecycle: data preparation model training tuning inference deployment monitoring and retraining.
Data handling expertise:Extraction cleaning transformation and loading (ETL) from various sources (relational and non-relational databases cloud storage APIs). Experience with SQL NoSQL and vector databases.
Machine Learning & Deep Learning:Supervised and unsupervised learning techniques including regression classification clustering time series and NLP (Natural Language Processing).
Natural Language Processing (NLP): Experience with text preprocessing pre-trained models (BERT Roberta) fine-tuning and NLP libraries (scikit-learn spaCy NLTK Gensim).
Experience withGenerative AI(e.g. LLMs prompt engineering fine-tuning RAG pipelines).
Experience withcloud platforms: Azure (preferred) GCP or AWS including their respective AI/ML services (e.g. Azure AI services).
Strong understanding of model evaluation feature engineering and hyperparameter tuning.
Experience and knowledge (Desirable):
Machine Learning & Deep Learning: Computer Vision.
Hands-on experience withmulti-agent systems and autonomous AI agents (e.g. LangChain AutoGen LangFlow) including the Model Context Protocol (MCP).
Familiarity withdata engineering: experience with data warehousing and big data technologies (Spark Hadoop Databricks).
Experience withMLOpstools and practices: MLFlow Kubeflow Docker Kubernetes Jenkins GitHub Actions Azure DevOps.
Experience working with knowledge graphs and graph-based data representations including tools like Neo4j RDF SPARQL Stardog or graph neural networks for reasoning and relationship modeling.
Domain knowledge (e.g.: experience in industry laws HR marketing etc.).
Ability to assess the business impact and profitability of AI models including cost-benefit analysis ROI estimation and value tracking post-deployment.
Ph.D. in a relevant field.
Qualifications:
Bachelors or Masters degree in Computer Science Data Science Computer Engineering Software Engineering Information Technology Mathematics or Physics.
Personality and working method: team player problem-solving analytical thinking pro-active self-taught and resilient.
Strong communication & collaboration:ability to translate technical insights into accessible information for diverse audiences. Proven ability to work effectively in agile cross-functional teams.
Continuous learning:Passion for staying current with AI advancements
Languages: Portuguese (Brazilian) and fluent in English. German is a plus.
Informações adicionais :
Benefícios da Bosch
Informações adicionais
- Vaga elegível para pessoas com deficiência ou reabilitadas
- Não contratamos menores de 16 anos e somos contra o trabalho infantil
- Modelo de trabalho: Home Office
- Se esta vaga for elegível ao modelo Home Office a avaliação do posto de trabalho será uma das etapas do processo seletivo
- Área contratante: BD/AMA-LAS1
Para colaboradores Bosch
- Sua candidatura pode ser feita internamente pelo site SmartHub
- Após se candidatar recomendamos informar a sua liderança
- Verifique a elegibilidade desta vaga em nosso Programa de Indicações Indica Ai (conforme RCD 12030-000)
- Prazo: 29/10/2025
Na Bosch acreditamos que a diversidade é o motor da inovação por isso todas as vagas são elegíveis para pessoas com deficiência em situação vulnerável e grupos minoritários.
Junte-se a nós e sinta a diferenç#LikeABosch. #LI-BB1
nossos artigos no Medium e saiba como é trabalhar na área de Tecnologia da Bosch Brasil: Bosch Tech Brasil Medium Work :
No
Employment Type :
Full-time
Bosch first started in Vietnam with a representative office in 1994. Bosch has its main office in Ho Chi Minh City, with branch offices in Hanoi and Da Nang, and a Powertrain Solutions plant in the Dong Nai province to manufacture pushbelt for continuously variable transmissions (CVT) ... View more