187 Empregos para Inteligência artificial - Curitiba

Join to apply for the Analista de bi jr foco em rpa e inteligencia artificial role at Netvagas

Requisitos:

HABILIDADES:

QUER INICIAR SUA CARREIRA AUTOMATIZANDO PROCESSOS COM DADOS E INTELIGÊNCIA?

Estamos em busca de uma pessoa proativa, com vontade de aprender e que queira crescer profissionalmente automatizando processos e usando inteligência artificial para transformar dados em soluções reais.

Se você gosta de resolver problemas, já começou a explorar o poder do Python e acredita que tarefas repetitivas não precisam ser feitas manualmente, essa vaga é para você!

Aqui, você vai trabalhar de perto com diversas áreas da empresa, identificando oportunidades de automação e colocando a mão na massa para implementar soluções simples, escaláveis e inteligentes.

Missão Do Cargo

Mapear processos manuais junto às áreas da empresa e desenvolver automações inteligentes utilizando Python e técnicas de IA, trazendo eficiência operacional e insights estratégicos.

Responsabilidades

1. Mapear atividades manuais com potencial de automação, em conjunto com áreas parceiras
2. Desenvolver automações de processos utilizando Python (scripts, bots, integração com APIs, tratamento de dados)
3. Apoiar a implementação de soluções simples de IA (como classificadores, análise preditiva ou agrupamentos)
4. Construir e manter bases de dados estruturadas para alimentar automações e análises
5. Criar relatórios simples e scripts de monitoramento das automações implantadas
6. Documentar os fluxos automatizados e garantir a rastreabilidade dos dados processados
7. Utilizar ferramentas do Google Workspace (Planilhas, Documentos, Drive) para organizar, documentar e acompanhar o progresso dos projetos
8. Colaborar com outras áreas para encontrar oportunidades de ganho de produtividade por meio de tecnologia e automação

Requisitos

HABILIDADES:

1. Conhecimento básico em Python, com foco em automações e manipulação de dados
2. Familiaridade com bibliotecas como pandas, openpyxl, requests, smtplib ou similares
3. Boa capacidade lógica e interesse em entender processos de negócio
4. Curiosidade para explorar técnicas de IA, mesmo que em nível introdutório
5. Organização e atenção a detalhes, especialmente ao automatizar tarefas críticas
6. Facilidade para aprender novas ferramentas e linguagens
7. Capacidade de comunicação e trabalho colaborativo com equipes não técnicas

Requisitos

1. Formação completa ou em andamento em áreas como Ciência de Dados, Engenharia, Análise de Sistemas, Estatística, ou áreas correlatas
2. Conhecimento básico em SQL
3. Conhecimento e uso frequente do Google Workspace (Planilhas, Drive, Documentos, etc.)
4. Já ter desenvolvido automações simples com Python (pessoais, acadêmicas ou profissionais)
5. Interesse por tecnologias de automação e inteligência artificial, mesmo sem experiência formal

Benefícios

O Que Oferecemos

• Trabalho remoto
• Equipe colaborativa e ambiente com propósito
• Oportunidade de crescimento e aprendizado acelerado
• Participação em um projeto com impacto direto na educação brasileira.

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Business Development and Sales
• Industries: Human Resources Services

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Overview

Analista/Engenheiro(a) em Inteligência Artificial (IA) OpenAI Enterprise - Pleno (Remoto)

• Desenvolver e implementar soluções baseadas em IA Generativa usando OpenAI Enterprise.
• Criar e manter pipelines de IA, com foco em casos de uso como automação de processos, chatbots, geração de insights e suporte à tomada de decisão.
• Apoiar na integração de modelos de linguagem (LLMs) com sistemas corporativos via API.
• Trabalhar em conjunto com as áreas de negócio para mapear demandas e transformar ideias em provas de conceito (POCs) e entregas reais.
• Contribuir para a disseminação de boas práticas de uso seguro e responsável de IA.
• Colaborar com engenheiros de dados e times de analytics para garantir qualidade e escalabilidade das soluções.

• Experiência prática com OpenAI Enterprise, incluindo: criação de soluções com embeddings, prompts avançados e agentes.
• Integração via APIs e ferramentas de automação.
• Conhecimentos em Machine Learning e NLP, com experiência em Python.
• Vivência em ambientes cloud (Azure, AWS ou GCP).
• Noções de MLOps e monitoramento de modelos.
• Boa base em SQL e manipulação de dados.

• Experiência em RAG (Retrieval-Augmented Generation).
• Certificações em IA, Data Science ou Cloud.
• Participação em projetos de IA generativa em ambientes corporativos.
• Interesse em temas de ética, segurança e governança em IA.
• Perfil comportamental: curiosidade e vontade de aprender constantemente, boa comunicação, com capacidade de traduzir conceitos técnicos em linguagem acessível, colaboração e proatividade para propor novas ideias e soluções criativas.

Overview

We are a leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Today, over 300 banks, retailers, and fintechs worldwide use Sardine to stop identity fraud, payment fraud, account takeovers, and social engineering scams. We have raised $145M from world-class investors, including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures.

• Design and refine backend services using Golang to process and analyze device data, ensuring robustness and scalability.
• Collaborate closely with software engineers, product managers, and other stakeholders to integrate machine learning capabilities seamlessly into our products.
• Develop sophisticated algorithms leveraging high-entropy signals and probabilistic matching to revolutionize device identification.
• Dive into vast datasets to uncover insights, boosting the accuracy and reliability of our systems.
• Apply advanced machine learning models to enhance device recognition and effectively manage uncertainties.
• Maintain the highest standards of privacy and security, aligned with industry best practices and regulations.
• Foster a culture of continuous learning, and document processes clearly to ensure consistency across the team.

• 5+ years of experience in software engineering, with a focus on backend development; proficiency in Go or a similar language is essential.
• Bachelor's or Master's in Computer Science, Engineering, or a related discipline.
• Hands-on experience with applied machine learning and data-informed optimization, working with large-scale datasets using tools like PyTorch and Scikit-learn.
• Proficient in SQL for querying and analyzing large datasets.
• Comfortable working with both relational and non-relational databases.
• Proficient in English - from casual chats to formal reports.

• A strong understanding of cybersecurity principles, especially in device identification and fraud prevention.
• Experience managing cloud infrastructure (AWS, Google Cloud, or Azure).
• Knowledge of containerization tools (Docker, Kubernetes) and CI/CD pipelines.
• Understanding of modern browser APIs and high-entropy data collection techniques.

Base pay range of $330,000 - R440,000 + Series C equity with tremendous upside potential + Attractive benefits

The compensation offered for this role will depend on various factors, including the candidate's location, qualifications, work history, and interview performance, and may differ from the stated range.

• Generous compensation in cash and equity
• Early exercise for all options, including pre-vested
• Work from anywhere: Remote-first Culture
• Flexible paid time off, Year-end break, Self care days off
• Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific
• 4% matching in 401k / RRSP - US and Canada specific
• MacBook Pro delivered to your door
• One-time stipend to set up a home office — desk, chair, screen, etc.
• Monthly meal stipend
• Monthly social meet-up stipend
• Annual health and wellness stipend
• Annual Learning stipend
• Unlimited access to an expert financial advisory

To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our Applicant and Worker Privacy Notice.

Employment type:

B2B

Operating mode:

Remote

Location:

We help companies gain a competitive edge by delivering customized AI solutions. Our mission is to empower our clients to unlock the full potential of AI.

We are specialized in key technologies such as LLM & RAG, MLOps, Edge Solutions, Computer Vision, and Natural Language Processing.

Our team of 120 world-class AI experts has worked on 200+ commercial and R&D projects with companies such as Unstructured, Google, Brainly, DocPlanner, B-Yond, Zebra Technologies, Hexagon, and many more.

• Team Strength – sharing and exchanging knowledge is key to our daily work
• Accountability – we take responsibility for the tasks entrusted to us so that ultimately the client receives the best possible quality
• Balance – we value work-life balance
• Commitment – we want you to be fully part of the team
• Openness – we don’t want you to be locked into one solution, we want to look for alternatives, explore new possibilities

Join our dynamic team as a Machine Learning Engineer and embark on a journey of innovation at the intersection of data science and cloud computing. We are seeking a talented individual who is passionate about leveraging cutting-edge technologies to drive business insights and solutions. If you’re excited about pushing the boundaries of what’s possible with GenAI, we invite you to be part of our team of experts!

• Collaborate with data scientists and software engineers to integrate machine learning solutions into cloud-based applications.
• Continuously optimize and improve AI algorithms for performance and accuracy in a cloud environment.
• Automate and optimize model deployment following MLOps best practices.
• Engage in the development of cutting-edge Kubernetes-driven infrastructure.
• Work on system reliability and backend stability, always looking for details to be improved.
• Share knowledge through talks and workshops (internal and external).

• Bachelor’s or advanced degree in Computer Science or Engineering.
• Proven experience (3+ years) in software engineering, including experience with Python, Bash, Git, as well as Cloud services, and Linux.
• Proven experience (1+ years) in working with cloud (AWS/Azure preferred).
• Good understanding of system architecture (microservices, monoliths, REST API, DNS, caching).
• Familiarity with Docker, Kubernetes, and cloud platforms for ML deployment.
• Strong Python skills and familiarity with other object-oriented languages.
• Very effective communication skills, both written and verbal.
• Ability to solve problems and communicate complex ideas effectively.

• Basic understanding of machine learning algorithms.
• Keen interest for Generative AI and Large Language Models (LLMs).
• Previous startup experience.

• Opportunity to work on cutting-edge AI projects with a diverse range of clients and industries, driving solutions from development to production.
• Collaborative and supportive work environment, where you can grow and learn from a team of talented professionals.
• An opportunity to participate in conferences and workshops.
• An opportunity to participate in Tech Talks (internal training and seminar sessions).
• Remote work options and travel to European headquarters available.

• Medical package.
• Multisport cards.
• Lunch provided.
• Kitchens stocked with fruit and veggies twice a week.
• Monthly integration budget.
• Company library (online and offline).
• Fun room.

Overview

We are a leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Today, over 300 banks, retailers, and fintechs worldwide use Sardine to stop identity fraud, payment fraud, account takeovers, and social engineering scams. We have raised $145M from world-class investors, including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures.

• Design and refine backend services using Golang to process and analyze device data, ensuring robustness and scalability.
• Collaborate closely with software engineers, product managers, and other stakeholders to integrate machine learning capabilities seamlessly into our products.
• Develop sophisticated algorithms leveraging high-entropy signals and probabilistic matching to revolutionize device identification.
• Dive into vast datasets to uncover insights, boosting the accuracy and reliability of our systems.
• Apply advanced machine learning models to enhance device recognition and effectively manage uncertainties.
• Maintain the highest standards of privacy and security, aligned with industry best practices and regulations.
• Foster a culture of continuous learning, and document processes clearly to ensure consistency across the team.

• 5+ years of experience in software engineering, with a focus on backend development; proficiency in Go or a similar language is essential.
• Bachelor's or Master's in Computer Science, Engineering, or a related discipline.
• Hands-on experience with applied machine learning and data-informed optimization, working with large-scale datasets using tools like PyTorch and Scikit-learn.
• Proficient in SQL for querying and analyzing large datasets.
• Comfortable working with both relational and non-relational databases.
• Proficient in English - from casual chats to formal reports.

• A strong understanding of cybersecurity principles, especially in device identification and fraud prevention.
• Experience managing cloud infrastructure (AWS, Google Cloud, or Azure).
• Knowledge of containerization tools (Docker, Kubernetes) and CI/CD pipelines.
• Understanding of modern browser APIs and high-entropy data collection techniques.

Base pay range of $330,000 - R440,000 + Series C equity with tremendous upside potential + Attractive benefits

The compensation offered for this role will depend on various factors, including the candidate's location, qualifications, work history, and interview performance, and may differ from the stated range.

• Generous compensation in cash and equity
• Early exercise for all options, including pre-vested
• Work from anywhere: Remote-first Culture
• Flexible paid time off, Year-end break, Self care days off
• Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific
• 4% matching in 401k / RRSP - US and Canada specific
• MacBook Pro delivered to your door
• One-time stipend to set up a home office — desk, chair, screen, etc.
• Monthly meal stipend
• Monthly social meet-up stipend
• Annual health and wellness stipend
• Annual Learning stipend
• Unlimited access to an expert financial advisory

To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our Applicant and Worker Privacy Notice.

Base pay range

Company overview: Blue Orange Digital is a boutique data & AI consultancy that delivers enterprise-grade results. We design and build modern data platforms, analytics, and ML/AI Agent solutions for mid‑market and enterprise clients across Private Equity, Financial Services, Healthcare, and Retail. Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ecosystem to turn messy, real-world data into trustworthy, actionable insight. We’re a builder-led, client-first culture that prizes ownership, clear communication, and shipping high-impact work.

Blue Orange is seeking to expand our Team of expert consultants with an experienced Machine Learning Engineer to address a set of expanding opportunities in the next several months. The ideal candidate will possess a deep passion for machine learning, AI tech and innovative data solutions with proficiency in advanced machine learning techniques, strong skills in programming languages such as Python, expertise around data analytics and feature engineering, experience working with some of the main ML and DL frameworks, a proven track record of working with cloud-native solutions in at least 1 of the main clouds (AWS, GCP, Azure, or Snowflake, etc.), MLOps and LLMs, and strong proficiency in the end-to-end ML/AI cycle, from ideation to production. The candidate will play a crucial role in driving our machine-learning initiatives forward. The candidate will have excellent communication skills to collaborate with technical and non-technical stakeholders effectively. At Blue Orange, you''ll have the opportunity to work on cutting-edge projects, leveraging modern machine-learning and AI techniques to deliver tangible business outcomes and drive innovation in our data-driven solutions.

• Collaborate with cross-functional teams to understand business requirements and design to productionize Gen AI solutions into practical product driven applications.
• Design and implement application integrations to leverage newly built GenAI Products.
• Build solutions that improve delivery speed and scalability of product pipelines.
• Leverage managed and serverless cloud offerings to create performant and scalable cloud native application solutions and data pipelines.
• Experiment with retrieval-augmented generation (RAG) approaches to improve the relevance and coherence of AI-generated outputs.
• Work closely with GenAI engineers and researchers to integrate prompt engineering and RAG components into production systems and ensure seamless deployment.
• Stay up to date with the latest advancements in prompt engineering, RAG, data science, machine learning, and AI technologies, and explore innovative approaches to enhance Gen AI capabilities.

• Experience with NLP and LLM-based technologies and frameworks.
• Proficiency in programming languages such as Python and JavaScript is preferred.
• Proven track record of successful delivery of software engineering projects.
• Ability to think and learn on your feet, and the ability to quickly become proficient with new technologies in a fast-paced environment.
• Understanding and passion for Test Driven Design.
• Familiarity with ETL concepts and best practices.
• Experience with prompt engineering and RAG techniques preferred.
• Excellent problem-solving skills, critical thinking abilities, and attention to detail.
• Effective communication skills and the ability to collaborate effectively in a team environment.
• Passion for AI and a desire to contribute to the advancement of Gen AI technologies.
• Strong problem-solving and analytical skills.
• Self-driven and autonomous.
• Excellent verbal and written communication skills.
• Team player.
• Eagerness to learn and adapt in a fast-paced environment.
• 5+ years of industry experience as a hands-on practitioner of software engineering and proven experience with cloud offerings.
• 3+ years of experience with cloud platforms such as AWS.
• Experience with Docker preferred.
• Bachelor's degree or higher in Computer Science or a related field.

• Advanced degree in a relevant field.
• Publications in relevant AI/ML communities and journals.
• Experience fine-tuning OpenSource LLMs and deploying them.
• MLFlow, etc., a plus.

• Fully remote
• Flexible Schedule
• Unlimited Paid Time Off (PTO)
• Paid parental/bereavement leave
• Worldwide recognized clients to build skills for an excellent resume
• Top-notch team to learn and grow with

Salary: USD $7,454 - $9,486 (monthly salary range)

Background checks may be required for certain positions/projects.

Blue Orange Digital is an equal opportunity employer.

Base pay range

Company overview: Blue Orange Digital is a boutique data & AI consultancy that delivers enterprise-grade results. We design and build modern data platforms, analytics, and ML/AI Agent solutions for mid‑market and enterprise clients across Private Equity, Financial Services, Healthcare, and Retail. Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ecosystem to turn messy, real-world data into trustworthy, actionable insight. We’re a builder-led, client-first culture that prizes ownership, clear communication, and shipping high-impact work.

Blue Orange is seeking to expand our Team of expert consultants with an experienced Machine Learning Engineer to address a set of expanding opportunities in the next several months. The ideal candidate will possess a deep passion for machine learning, AI tech and innovative data solutions with proficiency in advanced machine learning techniques, strong skills in programming languages such as Python, expertise around data analytics and feature engineering, experience working with some of the main ML and DL frameworks, a proven track record of working with cloud-native solutions in at least 1 of the main clouds (AWS, GCP, Azure, or Snowflake, etc.), MLOps and LLMs, and strong proficiency in the end-to-end ML/AI cycle, from ideation to production. The candidate will play a crucial role in driving our machine-learning initiatives forward. The candidate will have excellent communication skills to collaborate with technical and non-technical stakeholders effectively. At Blue Orange, you''ll have the opportunity to work on cutting-edge projects, leveraging modern machine-learning and AI techniques to deliver tangible business outcomes and drive innovation in our data-driven solutions.

• Collaborate with cross-functional teams to understand business requirements and design to productionize Gen AI solutions into practical product driven applications.
• Design and implement application integrations to leverage newly built GenAI Products.
• Build solutions that improve delivery speed and scalability of product pipelines.
• Leverage managed and serverless cloud offerings to create performant and scalable cloud native application solutions and data pipelines.
• Experiment with retrieval-augmented generation (RAG) approaches to improve the relevance and coherence of AI-generated outputs.
• Work closely with GenAI engineers and researchers to integrate prompt engineering and RAG components into production systems and ensure seamless deployment.
• Stay up to date with the latest advancements in prompt engineering, RAG, data science, machine learning, and AI technologies, and explore innovative approaches to enhance Gen AI capabilities.

• Experience with NLP and LLM-based technologies and frameworks.
• Proficiency in programming languages such as Python and JavaScript is preferred.
• Proven track record of successful delivery of software engineering projects.
• Ability to think and learn on your feet, and the ability to quickly become proficient with new technologies in a fast-paced environment.
• Understanding and passion for Test Driven Design.
• Familiarity with ETL concepts and best practices.
• Experience with prompt engineering and RAG techniques preferred.
• Excellent problem-solving skills, critical thinking abilities, and attention to detail.
• Effective communication skills and the ability to collaborate effectively in a team environment.
• Passion for AI and a desire to contribute to the advancement of Gen AI technologies.
• Strong problem-solving and analytical skills.
• Self-driven and autonomous.
• Excellent verbal and written communication skills.
• Team player.
• Eagerness to learn and adapt in a fast-paced environment.
• 5+ years of industry experience as a hands-on practitioner of software engineering and proven experience with cloud offerings.
• 3+ years of experience with cloud platforms such as AWS.
• Experience with Docker preferred.
• Bachelor's degree or higher in Computer Science or a related field.

• Advanced degree in a relevant field.
• Publications in relevant AI/ML communities and journals.
• Experience fine-tuning OpenSource LLMs and deploying them.
• MLFlow, etc., a plus.

• Fully remote
• Flexible Schedule
• Unlimited Paid Time Off (PTO)
• Paid parental/bereavement leave
• Worldwide recognized clients to build skills for an excellent resume
• Top-notch team to learn and grow with

Salary: USD $7,454 - $9,486 (monthly salary range)

Background checks may be required for certain positions/projects.

Blue Orange Digital is an equal opportunity employer.

Prazer, somos a Huna!
- Deeptech brasileira construindo o futuro do diagnóstico precoce de câncer para 99% da humanidade usando inteligência artificial e exames de rotina!
:) Construímos tecnologias robustas, éticas e responsáveis para ampliar o acesso à saúde… e que bom que você quer fazer parte dessa trajetória com a gente!
:) Estamos contratando para vaga de PESSOA ENGENHEIRA DE MACHINE LEARNING (MLOps) (Pleno) - até dia 21 de Março!
Esta é uma vaga full-time e remote-first , com preferência para candidatos baseados em São Paulo (Capital e RM) e Rio de Janeiro.
É importante ter disponibilidade para viagens ocasionais (e alguns eventos nas sedes da empresa em ambas cidades).

1. Pesquisar e implementar algoritmos e ferramentas de Machine Learning apropriados para resolver problemas específicos na área da saúde, como diagnóstico auxiliado por IA, previsão de riscos, personalização de tratamentos e análise de imagens médicas;
2. Desenvolver aplicações de Machine Learning de acordo com os requisitos, utilizando linguagens de programação como Python e bibliotecas como TensorFlow, PyTorch e Scikit-learn;
3. Estudar e transformar protótipos de ciência de dados em soluções escaláveis e robustas;
4. Ampliar bibliotecas e estruturas de ML existentes para atender às necessidades específicas das aplicações;
5. Selecionar conjuntos de dados apropriados para treinar os modelos de Machine Learning, realizando a limpeza, a transformação e a preparação dos dados;
6. Escolher métodos de representação de dados eficazes para otimizar o desempenho dos modelos;
7. Realizar análises estatísticas e ajustes finos nos modelos, utilizando resultados de testes para melhorar a acurácia e a eficiência;
8. Treinar e retreinar os sistemas de Machine Learning quando necessário, utilizando técnicas de aprendizado supervisionado, não supervisionado e por reforço;
9. Otimizar os modelos para garantir o desempenho, a escalabilidade e a eficiência em ambientes de produção.

1. Formação em Ciência da Computação, Engenharia, Estatística ou áreas correlatas.
2. Experiência mínima de 2 (dois) anos na função.
3. Experiência com linguagens de programação como Python e bibliotecas de Machine Learning como TensorFlow, PyTorch e Scikit-learn.
4. Inglês avançado.
5. Conhecimento de algoritmos de Machine Learning, como regressão, classificação, clustering e deep learning.
6. Habilidade em processar e analisar grandes conjuntos de dados.
7. Familiaridade com ferramentas de controle de versão, como Git.
8. Disponibilidade para viagens eventuais.

1. Pós-Graduação (Mestrado ou Doutorado - completa ou em andamento) em áreas correlatas.
2. Conhecimento de processamento de linguagem natural (PNL) ou visão computacional.
3. Familiaridade com plataformas de cloud computing, especialmente GCP, AWS ou Azure.
4. Experiência prévia (acadêmica ou profissional) com manipulação de dados clínicos/médicos e/ou vivência no setor de saúde.

1. Remuneração compatível com o mercado.
2. Benefício flexível (Caju).
3. Benefício de saúde (Gympass).
4. Benefício de educação.
5. Possibilidade de participar de programa de S.O.P.
6. Rotina remote-first (remoto preferencial).
7. Short-Fridays.
8. Flexibilidade de horários na rotina.
9. Day-off de aniversário.
10. Emendas de feriados nacionais.

> Se você acha que essa vaga é a sua cara, inscreva-se na vaga diretamente pelo ou por email ***.
> Se conhece alguém que se encaixa no perfil, compartilhe!
LEMBRETE: O prazo vai até dia 21 de Março.
Somente candidatos selecionados receberão feedback para as próximas etapas.
:)

Prazer, somos a Huna!
- Deeptech brasileira construindo o futuro do diagnóstico precoce de câncer para 99% da humanidade usando inteligência artificial e exames de rotina!
:) Construímos tecnologias robustas, éticas e responsáveis para ampliar o acesso à saúde… e que bom que você quer fazer parte dessa trajetória com a gente!
:) Estamos contratando para vaga de PESSOA ENGENHEIRA DE MACHINE LEARNING (MLOps) (Pleno) - até dia 21 de Março!
Esta é uma vaga full-time e remote-first , com preferência para candidatos baseados em São Paulo (Capital e RM) e Rio de Janeiro.
É importante ter disponibilidade para viagens ocasionais (e alguns eventos nas sedes da empresa em ambas cidades).

1. Pesquisar e implementar algoritmos e ferramentas de Machine Learning apropriados para resolver problemas específicos na área da saúde, como diagnóstico auxiliado por IA, previsão de riscos, personalização de tratamentos e análise de imagens médicas;
2. Desenvolver aplicações de Machine Learning de acordo com os requisitos, utilizando linguagens de programação como Python e bibliotecas como TensorFlow, PyTorch e Scikit-learn;
3. Estudar e transformar protótipos de ciência de dados em soluções escaláveis e robustas;
4. Ampliar bibliotecas e estruturas de ML existentes para atender às necessidades específicas das aplicações;
5. Selecionar conjuntos de dados apropriados para treinar os modelos de Machine Learning, realizando a limpeza, a transformação e a preparação dos dados;
6. Escolher métodos de representação de dados eficazes para otimizar o desempenho dos modelos;
7. Realizar análises estatísticas e ajustes finos nos modelos, utilizando resultados de testes para melhorar a acurácia e a eficiência;
8. Treinar e retreinar os sistemas de Machine Learning quando necessário, utilizando técnicas de aprendizado supervisionado, não supervisionado e por reforço;
9. Otimizar os modelos para garantir o desempenho, a escalabilidade e a eficiência em ambientes de produção.

1. Formação em Ciência da Computação, Engenharia, Estatística ou áreas correlatas.
2. Experiência mínima de 2 (dois) anos na função.
3. Experiência com linguagens de programação como Python e bibliotecas de Machine Learning como TensorFlow, PyTorch e Scikit-learn.
4. Inglês avançado.
5. Conhecimento de algoritmos de Machine Learning, como regressão, classificação, clustering e deep learning.
6. Habilidade em processar e analisar grandes conjuntos de dados.
7. Familiaridade com ferramentas de controle de versão, como Git.
8. Disponibilidade para viagens eventuais.

1. Pós-Graduação (Mestrado ou Doutorado - completa ou em andamento) em áreas correlatas.
2. Conhecimento de processamento de linguagem natural (PNL) ou visão computacional.
3. Familiaridade com plataformas de cloud computing, especialmente GCP, AWS ou Azure.
4. Experiência prévia (acadêmica ou profissional) com manipulação de dados clínicos/médicos e/ou vivência no setor de saúde.

1. Remuneração compatível com o mercado.
2. Benefício flexível (Caju).
3. Benefício de saúde (Gympass).
4. Benefício de educação.
5. Possibilidade de participar de programa de S.O.P.
6. Rotina remote-first (remoto preferencial).
7. Short-Fridays.
8. Flexibilidade de horários na rotina.
9. Day-off de aniversário.
10. Emendas de feriados nacionais.

> Se você acha que essa vaga é a sua cara, inscreva-se na vaga diretamente pelo ou por email ***.
> Se conhece alguém que se encaixa no perfil, compartilhe!
LEMBRETE: O prazo vai até dia 21 de Março.
Somente candidatos selecionados receberão feedback para as próximas etapas.
:)