Job Overview
As a seasoned data scientist, you will develop innovative machine learning models and inference pipelines to drive business success in the SAP ecosystem. Your expertise will be instrumental in designing and evaluating AI agent architectures using large language models (LLMs).
Responsibilities:
* Develop machine learning models and inference pipelines for practical applications in the SAP ecosystem.
* Design and evaluate AI agent architectures with LLMs, using frameworks like Crew.ai, LangChain, AutoGen, etc.
* Collaborate with data and engineering teams to prepare features, ingest historical data, and perform exploratory analysis.
* Implement recommendation, classification, clustering, or language generation models, according to project goals.
* Evaluate risks, fairness, explainability, and performance metrics of models in production.
Qualifications:
* Proven experience as a data scientist, with a portfolio of models applied in a real-world context.
* Knowledge of generative AI and agent frameworks (e.g., LangChain, Crew.ai, AutoGen, Haystack, etc).
* Proficiency in Python, scikit-learn, transformers, Hugging Face, Pandas, NumPy.
* Ability to work with both classic models and LLMs, with knowledge of prompt engineering, embeddings, vectors, and contexts.
* Familiarity with Databricks, MLflow, and model versioning.
Benefits:
* TotalPass: Access to gyms and sports activities to support your physical health.
* Zenklub: Take care of your mental health with affordable rates for the sessions.
* Referral Program: Refer talented individuals to join our team and receive bonuses ranging from R$2,500 to R$5,000.
* Life Insurance: Financial security for you and your family.
* Baby Zallpy: Special celebration for the arrival of new babies.
* Volunteer Communities: Participation in Diversity, Equity & Inclusion, Sports & Movement, and Technology communities.
* Discounts at Educational Institutions: Benefits for undergraduate, graduate, short courses, and language studies.
* Experiences and Development: Opportunities to participate in trips, workshops, events, and team-building activities.
* BP Support: Guidance from our Business Partners team.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries: IT Services and IT Consulting