Your Role and Responsibilities
Os profissionais dessa especialidade se concentram em identificar os principais desafios de negócios que podem ser resolvidos e medidos por meio da aplicação de aplicativos cognitivos e inteligência artificial.As responsabilidades incluem traduzir fórmulas matemáticas em código, construir modelos e algoritmos de prova de conceito, bem como pesquisar, projetar e desenvolver modelos matemáticos preditivos usando inteligência
artificial. As habilidades necessárias incluem conhecimento de soluções de análise avançada, otimização matemática (linear, inteiro misto, programação de restrição), simulação de eventos discretos, programação de regras e análise preditiva.
Being You @ IBM
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.Required Technical and Professional Expertise
- Formações: Estatística, Matemática, Engenharia, TI, física ou áreas correlatas.
- Sólidos conhecimentos de Estatística (Estatísticas Descritivas, Correlação, Testes de Hipóteses, Distribuições de Probabilidades).
- Inteligência de Negócios, conceitos de mineração e banco de dados.
- Métodos de preparação de dados, modelagem preditiva.
- Aplicação e conceitos de Machine Learning.
Preferred Technical and Professional Experience
- Databricks, Hadoop, Spark, Scala, Kafka, SQL, Java e/ou C++
- Controle de versão (Git)
- Portfólio de projetos pessoais (por exemplo, Github, blog pessoal)
- SPSS, SAS ou Knime
- Tableau, PowerBI, Looker
- Série Temporal, Mineração de Texto e NLP
- Redes neurais e Deep Learning (bibliotecas como Keras, PyTorch,
- TensorFlow, H2O)
- Técnicas de Reconhecimento Visual
- Experiência em programação matemática (CPLEX, Gurobi, Matlab)
- Capacidade de trabalhar com plataformas de nuvem (Azure, IBM Cloud, Google Cloud ou AWS)
- Área Personalizada Para Vaga: Ex: Otimização, People Analytics, Saúde, Segurança, Logística, Visão Computacional.
- Key Skills: Python, Machine Learning/Aprendizado de Máquina
Other Relevant Job Details
For additional information about location requirements, please discuss with the recruiter following submission of your application.Introduction
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.Wonder if IBM is the one for you?
In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
Are you ready to be an IBMer?