Mid-Level Data Scientist – Generative AI
CESAR
full-time
Posted on:
Location Type: Office
Location: 🇧🇷 Brazil
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
KerasNumpyPandasPythonPyTorchScikit-LearnTensorflow
About the role
- Participate in research and implementation of solutions based on Machine Learning and Deep Learning.
- Research and implement Machine Learning algorithms for natural language processing (NLP) and text analysis using LLMs.
- Contribute to the development of data ingestion and processing pipelines to build datasets suitable for implementing Machine Learning algorithms.
Requirements
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field.
- Knowledge of advanced machine learning, deep learning, and artificial intelligence techniques for semi-structured and unstructured data.
- Experience training deep learning models.
- Practical knowledge of Python, including libraries such as Pandas/Polars, NumPy, SciPy, NLTK, and SpaCy.
- Experience with machine learning and deep learning frameworks such as PyTorch, TensorFlow, JAX, Keras, Scikit-Learn, etc.
- Knowledge of object-oriented programming.
- Experience with agile software development methodologies.
- Experience building conversational agents using LLMs.
- Familiarity with LangChain, LangGraph, Semantic Kernel, and the OpenAI API.
- Ability to manipulate and extract insights from structured, unstructured, and real-time data.
Benefits
- Health and dental insurance
- Meal/food allowance
- Home office allowance
- Language learning allowance
- Childcare assistance
- Contact lens allowance
- Life insurance
- Discounts on CESAR School courses
- Day off on your birthday
- Wellhub Moodar
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdeep learningnatural language processingPythonPandasNumPyPyTorchTensorFlowKerasScikit-Learn