CESAR is hiring a Senior Data Scientist (ML, RAG, LLMs & Agents)

CESAR, an innovation and education center, is seeking a Senior Data Scientist to solve complex and challenging problems in a relaxed, decentralized work environment. You will be responsible for the full lifecycle of AI solutions, from understanding business requirements with global clients to integrating models into scalable production software. This role demands a balance of advanced technical skills in machine learning and direct client engagement.

What You'll Do

• Define and implement complete AI solutions using advanced deep learning, big data, and data science techniques from conception to production.
• Implement data engineering pipelines for collecting, integrating, processing, and analyzing large volumes of structured and unstructured data.
• Develop, train, refine, publish, and monitor machine learning, deep learning, LLMs, Generative AI, and Agent models.
• Develop software to integrate developed ML models with the software that uses them, transforming models into scalable, high-impact solutions.
• Interface directly with clients worldwide to understand business requirements, negotiate scopes, and align deliverables.
• Ensure the application of best practices in data governance, security, and scalability for developed solutions.
• Provide technical support and mentorship to the team, promoting a culture of continuous learning and innovation.

What We're Looking For

• Solid knowledge of Machine and Deep Learning for supervised and unsupervised learning, specifically with NLP, LLMs, Agents, RAG, MCP, Transformers, Encoders, BERT, and Generative AI.
• Practical knowledge of standard market AI models, libraries, platforms, and APIs (e.g., GPT, Claude, Gemini, LLaMA, Mistral).
• Experience in machine learning pipelines and in defining metrics and evaluating models.
• Experience in Data Science: statistics, data analysis, hypothesis testing, data infrastructures and architectures, data mining processes.
• Advanced level Python programming.
• Advanced knowledge of libraries like PyTorch, Spark, Scikit-learn, Pandas, NumPy, Dask.
• Experience with relational, non-relational, and vector databases.
• Knowledge of cloud infrastructure, such as AWS (preferably) and scalable architectures.
• General experience with SW development: Git, unit and integration tests, CI/CD, documentation.
• Advanced English for conversation with clients.

Nice to Have

• Knowledge of MLOps and Model Monitoring - Infrastructure, Deployment, monitoring and observability, lifecycle.
• Experience with Kafka, Docker, and Kubernetes.
• Knowledge of SW Architecture and design patterns and development of APIs and microservices.
• Master's or Doctorate in Computer Science, Data Engineering, Applied Mathematics, or related areas.
• Certifications in Machine Learning, Data Engineering, and Cloud Computing.

Technical Stack

• Languages & Frameworks: Python, PyTorch, Spark, Scikit-learn, Pandas, NumPy, Dask
• AI Models & Platforms: GPT, Claude, Gemini, LLaMA, Mistral
• Infrastructure & Tools: AWS, Git, Kafka, Docker, Kubernetes

Benefits & Compensation

• Flexible hours and a horizontal structure.
• Training and development programs.
• Culture focused on Diversity & Inclusion.
• Health and dental plan.
• Meal/Food Voucher.
• Language Assistance and Nursery Assistance.
• Contact Lens Assistance and Life Insurance.
• Discounts on CESAR School courses.
• DayOff (in the birthday month).
• Wellhub (Gympass), Moodar, and Cíngulo.

CESAR is an equal opportunity employer committed to a culture focused on Diversity & Inclusion.