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Senior Data Scientist / Senior Researcher In

Sap

Porto Alegre

Presencial

BRL 130.000 - 180.000

Tempo integral

Hoje
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Resumo da oferta

A global technology company is looking for a Machine Learning Engineer in Porto Alegre, Brazil. The role involves exploring and implementing advanced machine learning algorithms and collaborating with diverse teams to develop impactful AI products. Ideal candidates will have a strong background in AI, Python programming, and familiarity with frameworks like TensorFlow. The company values inclusion and offers a supportive environment for professional growth.

Qualificações

  • In-depth knowledge of machine learning with a focus on deep learning.
  • Strong experience in Python for machine learning projects.
  • Proven track record with productionized deep learning models.

Responsabilidades

  • Implement cutting-edge machine learning algorithms.
  • Collaborate with interdisciplinary teams to deliver impactful solutions.
  • Provide technical leadership and guidance to team members.

Conhecimentos

AI and Data Science Knowledge
Software Engineering Skills in Python
Analytical Mindset
Fluency in English

Ferramentas

TensorFlow
SQL or NoSQL Databases
Scikit Learn
Descrição da oferta de emprego
What you'll do
  • Explore, understand, and implement the most recent machine learning algorithms and approaches.
  • Push the frontiers of what is possible in the area of machine learning with real data.
  • Work with interdisciplinary teams of developers, designers, and business experts to develop solutions with real measurable customer impact.
  • Help to ensure performance, reliability and ongoing improvement of our model deliverables in continuous collaboration with development teams.
  • Naturally work cross‑group (Developers, Product Managers and stakeholders) to bring teams together and deliver state‑of‑the‑art applied AI products.
  • Provide technical leadership to junior members of the team.
What you bring
  • In‑depth AI and data science knowledge, with a focus on deep learning.
  • Strong software engineering skills using Python and machine learning software packages such as TensorFlow.
  • Analytical mindset, curiosity and a drive to produce excellent solutions.
  • Understanding of practical and privacy concerns surrounding AI development.
  • Past experience of building productionized deep learning models and/or familiarity with LLMs.
  • Fluency in both written and spoken English.
Tech you bring
  • Mastery of python and python libraries for ML (e.g. Scikit Learn, TensorFlow, pretrained transformers).
  • Experience with SQL or NoSQL databases.
  • Critical thinking capability.
Tech you'll learn
  • Latest development in applied ML and AI in customer‑facing products.
  • Best practices for building functional and compliant ML and AI solutions.
Meet your team

As Intelligent Spend and Business Network, we play a crucial role in addressing our customers' end‑to‑end procurement, travel and expense, and external workforce needs with visibility and agility across the entire supply chain. Our data science team is a small team with diverse backgrounds which will value your individual contribution as well as your ability to collaborate effectively with the rest of the team to develop powerful and effective ML/AI solutions.

We build breakthroughs together

We win with inclusion

We win with inclusion

SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone—regardless of background—feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world.

EOE

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.

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