199 Empregos para Inteligência artificial - Belo Horizonte

Overview

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

Modelo de contratação: PJ

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

• 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 espírito de equipe.
• Proatividade para propor novas ideias e soluções criativas.

• Entry level

• Full-time

• Engineering and Information Technology

• Human Resources Services

Overview

Machine Learning Engineer role at Ottomatik.io. We are seeking a hands-on engineer with strong expertise in computer vision and object detection to tackle a specialized challenge: detecting walls and identifying rooms in architectural blueprints or pre-construction plans.

Eligibility: This position is open to candidates residing in Latin America. Application language: Please submit your CV in English. Applications submitted in other languages will not be considered. Professional presentation: Including a Loom video in the application form is optional but may be given priority.

• Develop and fine-tune ML models for detecting walls in architectural blueprints.
• Design and implement preprocessing pipelines for handling blueprint files (images/PDFs).
• Optimize model inference using ONNX Runtime for production-ready deployment.
• Build and maintain an API server to serve ML inference (preferably using BentoML).
• Collaborate with stakeholders to define requirements, deliver milestones, and document solutions clearly.

• Strong hands-on experience with PyTorch for model development and training.
• Expertise with Ultralytics (YOLOv8) for object detection tasks.
• Proficiency in OpenCV, Pillow (PIL), and NumPy for preprocessing and image manipulation.
• Experience with ONNX / ONNX Runtime for optimized inference.
• Solid knowledge of BentoML (preferred) or FastAPI for serving ML APIs.
• Familiarity with Pydantic for schema validation.
• Proven track record of deploying ML models into production.
• Strong problem-solving mindset and ability to adapt ML tools to specialized use cases.
• Clear communication and documentation skills.

• Experience working with PyMuPDF for parsing PDF-based architectural plans.
• Background in architectural/engineering data or prior work with blueprint analysis.
• Knowledge of clustering/grouping methods for room identification tasks.
• Familiarity with MLOps practices (monitoring, scaling, CI/CD for ML).

Monday to Friday - GMT-3

USD salary

100% remote

If this opportunity sounds good to you, please send us your resume!

• Director

• Full-time

• Construction

Overview

Machine Learning Engineer role at Ottomatik.io. We are seeking a hands-on engineer with strong expertise in computer vision and object detection to tackle a specialized challenge: detecting walls and identifying rooms in architectural blueprints or pre-construction plans.

Eligibility: This position is open to candidates residing in Latin America. Application language: Please submit your CV in English. Applications submitted in other languages will not be considered. Professional presentation: Including a Loom video in the application form is optional but may be given priority.

• Develop and fine-tune ML models for detecting walls in architectural blueprints.
• Design and implement preprocessing pipelines for handling blueprint files (images/PDFs).
• Optimize model inference using ONNX Runtime for production-ready deployment.
• Build and maintain an API server to serve ML inference (preferably using BentoML).
• Collaborate with stakeholders to define requirements, deliver milestones, and document solutions clearly.

• Strong hands-on experience with PyTorch for model development and training.
• Expertise with Ultralytics (YOLOv8) for object detection tasks.
• Proficiency in OpenCV, Pillow (PIL), and NumPy for preprocessing and image manipulation.
• Experience with ONNX / ONNX Runtime for optimized inference.
• Solid knowledge of BentoML (preferred) or FastAPI for serving ML APIs.
• Familiarity with Pydantic for schema validation.
• Proven track record of deploying ML models into production.
• Strong problem-solving mindset and ability to adapt ML tools to specialized use cases.
• Clear communication and documentation skills.

• Experience working with PyMuPDF for parsing PDF-based architectural plans.
• Background in architectural/engineering data or prior work with blueprint analysis.
• Knowledge of clustering/grouping methods for room identification tasks.
• Familiarity with MLOps practices (monitoring, scaling, CI/CD for ML).

Monday to Friday - GMT-3

USD salary

100% remote

If this opportunity sounds good to you, please send us your resume!

• Director

• Full-time

• Construction

Location: Fully remote

Employment type: Part-time

Bizmoni is the world's first AI Super App designed to help anyone earn, learn, and grow in the AI era. We are building a global, fully remote team to shape the future of financial technology. Our mission is to make powerful AI-driven financial and business tools accessible to everyone from individuals starting side hustles to enterprises scaling globally.

We are seeking a skilled and driven MLOps Engineer to design, automate, and optimize our machine learning infrastructure. In this role, you will play a crucial part in bridging the gap between data science and operations by streamlining our AI / ML workflows from experimentation to production.

You will collaborate closely with data scientists, data engineers, and developers to ensure our models are secure, scalable, reliable, and cost-efficient. Your work will directly impact thousands of users worldwide by enabling real-time, AI-powered financial insights and business solutions.

If you are passionate about deploying cutting-edge ML technologies and want to be part of a mission-driven fintech startup, we'd love to hear from you!

• Design, build, and maintain end-to-end machine learning infrastructure ensuring scalability, high availability, and performance.
• Automate ML pipelines with Docker, Kubernetes, and CI / CD frameworks.
• Collaborate with data scientists and engineers to streamline model deployment.
• Monitor and optimize models in production with observability tools (e.g., Prometheus, Grafana, ELK).
• Manage and optimize cloud infrastructure (AWS, Azure, or GCP) for efficiency and cost.
• Ensure compliance and security protocols for sensitive financial data.
• Provide support and maintenance to ensure the reliability of ML applications.

• Proven experience as an MLOps Engineer or similar role (fintech or AI startup experience is a plus).
• Strong programming skills in Python (preferred); familiarity with Java or Scala is a plus.
• Experience with ML frameworks and pipeline orchestration (MLflow, Airflow, Kubeflow, or SageMaker).
• Hands-on experience with cloud services (AWS, Azure, or GCP).
• Solid knowledge of containerization and orchestration (Docker, Kubernetes).
• Familiarity with Git and CI / CD tools.
• Strong understanding of ML algorithms and their real-world applications.
• Excellent communication and collaboration skills in a remote, cross-timezone team environment.
• Bachelor's or Master's degree in Computer Science, Data Science, or related field (or equivalent experience).

• Be part of a mission-driven company building the future of AI-powered FinTech.
• Fully remote role with a global, diverse team.
• Equity-based compensation with the potential for future full-time opportunities.
• Culture of innovation, collaboration, and ownership.

• Are you open to equity-based compensation?
• Are you able to dedicate 16 hours weekly to our project?

If your answers are YES, then we are happy to meet you!

• Interview with Data Science Department Manager & TA Partner.
• Offer (based on final positive feedback).

Please submit your English CV.

Only shortlisted candidates will be invited to interview. Thank you.

Bizmoni is an equal opportunities employer and welcomes applications from diverse candidates.

Location: Fully remote

Employment type: Part-time

Bizmoni is the world's first AI Super App designed to help anyone earn, learn, and grow in the AI era. We are building a global, fully remote team to shape the future of financial technology. Our mission is to make powerful AI-driven financial and business tools accessible to everyone from individuals starting side hustles to enterprises scaling globally.

We are seeking a skilled and driven MLOps Engineer to design, automate, and optimize our machine learning infrastructure. In this role, you will play a crucial part in bridging the gap between data science and operations by streamlining our AI / ML workflows from experimentation to production.

You will collaborate closely with data scientists, data engineers, and developers to ensure our models are secure, scalable, reliable, and cost-efficient. Your work will directly impact thousands of users worldwide by enabling real-time, AI-powered financial insights and business solutions.

If you are passionate about deploying cutting-edge ML technologies and want to be part of a mission-driven fintech startup, we'd love to hear from you!

• Design, build, and maintain end-to-end machine learning infrastructure ensuring scalability, high availability, and performance.
• Automate ML pipelines with Docker, Kubernetes, and CI / CD frameworks.
• Collaborate with data scientists and engineers to streamline model deployment.
• Monitor and optimize models in production with observability tools (e.g., Prometheus, Grafana, ELK).
• Manage and optimize cloud infrastructure (AWS, Azure, or GCP) for efficiency and cost.
• Ensure compliance and security protocols for sensitive financial data.
• Provide support and maintenance to ensure the reliability of ML applications.

• Proven experience as an MLOps Engineer or similar role (fintech or AI startup experience is a plus).
• Strong programming skills in Python (preferred); familiarity with Java or Scala is a plus.
• Experience with ML frameworks and pipeline orchestration (MLflow, Airflow, Kubeflow, or SageMaker).
• Hands-on experience with cloud services (AWS, Azure, or GCP).
• Solid knowledge of containerization and orchestration (Docker, Kubernetes).
• Familiarity with Git and CI / CD tools.
• Strong understanding of ML algorithms and their real-world applications.
• Excellent communication and collaboration skills in a remote, cross-timezone team environment.
• Bachelor's or Master's degree in Computer Science, Data Science, or related field (or equivalent experience).

• Be part of a mission-driven company building the future of AI-powered FinTech.
• Fully remote role with a global, diverse team.
• Equity-based compensation with the potential for future full-time opportunities.
• Culture of innovation, collaboration, and ownership.

• Are you open to equity-based compensation?
• Are you able to dedicate 16 hours weekly to our project?

If your answers are YES, then we are happy to meet you!

• Interview with Data Science Department Manager & TA Partner.
• Offer (based on final positive feedback).

Please submit your English CV.

Only shortlisted candidates will be invited to interview. Thank you.

Bizmoni is an equal opportunities employer and welcomes applications from diverse candidates.

Location: Fully remote

Employment type: Part-time

Bizmoni is the world's first AI Super App designed to help anyone earn, learn, and grow in the AI era. We are building a global, fully remote team to shape the future of financial technology. Our mission is to make powerful AI-driven financial and business tools accessible to everyone from individuals starting side hustles to enterprises scaling globally.

We are seeking a skilled and driven MLOps Engineer to design, automate, and optimize our machine learning infrastructure. In this role, you will play a crucial part in bridging the gap between data science and operations by streamlining our AI / ML workflows from experimentation to production.

You will collaborate closely with data scientists, data engineers, and developers to ensure our models are secure, scalable, reliable, and cost-efficient. Your work will directly impact thousands of users worldwide by enabling real-time, AI-powered financial insights and business solutions.

If you are passionate about deploying cutting-edge ML technologies and want to be part of a mission-driven fintech startup, we'd love to hear from you!

• Design, build, and maintain end-to-end machine learning infrastructure ensuring scalability, high availability, and performance.
• Automate ML pipelines with Docker, Kubernetes, and CI / CD frameworks.
• Collaborate with data scientists and engineers to streamline model deployment.
• Monitor and optimize models in production with observability tools (e.g., Prometheus, Grafana, ELK).
• Manage and optimize cloud infrastructure (AWS, Azure, or GCP) for efficiency and cost.
• Ensure compliance and security protocols for sensitive financial data.
• Provide support and maintenance to ensure the reliability of ML applications.

• Proven experience as an MLOps Engineer or similar role (fintech or AI startup experience is a plus).
• Strong programming skills in Python (preferred); familiarity with Java or Scala is a plus.
• Experience with ML frameworks and pipeline orchestration (MLflow, Airflow, Kubeflow, or SageMaker).
• Hands-on experience with cloud services (AWS, Azure, or GCP).
• Solid knowledge of containerization and orchestration (Docker, Kubernetes).
• Familiarity with Git and CI / CD tools.
• Strong understanding of ML algorithms and their real-world applications.
• Excellent communication and collaboration skills in a remote, cross-timezone team environment.
• Bachelor's or Master's degree in Computer Science, Data Science, or related field (or equivalent experience).

• Be part of a mission-driven company building the future of AI-powered FinTech.
• Fully remote role with a global, diverse team.
• Equity-based compensation with the potential for future full-time opportunities.
• Culture of innovation, collaboration, and ownership.

• Are you open to equity-based compensation?
• Are you able to dedicate 16 hours weekly to our project?

If your answers are YES, then we are happy to meet you!

• Interview with Data Science Department Manager & TA Partner.
• Offer (based on final positive feedback).

Please submit your English CV.

Only shortlisted candidates will be invited to interview. Thank you.

Bizmoni is an equal opportunities employer and welcomes applications from diverse candidates.

Location: Fully remote

Employment type: Part-time

Bizmoni is the world's first AI Super App designed to help anyone earn, learn, and grow in the AI era. We are building a global, fully remote team to shape the future of financial technology. Our mission is to make powerful AI-driven financial and business tools accessible to everyone from individuals starting side hustles to enterprises scaling globally.

We are seeking a skilled and driven MLOps Engineer to design, automate, and optimize our machine learning infrastructure. In this role, you will play a crucial part in bridging the gap between data science and operations by streamlining our AI / ML workflows from experimentation to production.

You will collaborate closely with data scientists, data engineers, and developers to ensure our models are secure, scalable, reliable, and cost-efficient. Your work will directly impact thousands of users worldwide by enabling real-time, AI-powered financial insights and business solutions.

If you are passionate about deploying cutting-edge ML technologies and want to be part of a mission-driven fintech startup, we'd love to hear from you!

• Design, build, and maintain end-to-end machine learning infrastructure ensuring scalability, high availability, and performance.
• Automate ML pipelines with Docker, Kubernetes, and CI / CD frameworks.
• Collaborate with data scientists and engineers to streamline model deployment.
• Monitor and optimize models in production with observability tools (e.g., Prometheus, Grafana, ELK).
• Manage and optimize cloud infrastructure (AWS, Azure, or GCP) for efficiency and cost.
• Ensure compliance and security protocols for sensitive financial data.
• Provide support and maintenance to ensure the reliability of ML applications.

• Proven experience as an MLOps Engineer or similar role (fintech or AI startup experience is a plus).
• Strong programming skills in Python (preferred); familiarity with Java or Scala is a plus.
• Experience with ML frameworks and pipeline orchestration (MLflow, Airflow, Kubeflow, or SageMaker).
• Hands-on experience with cloud services (AWS, Azure, or GCP).
• Solid knowledge of containerization and orchestration (Docker, Kubernetes).
• Familiarity with Git and CI / CD tools.
• Strong understanding of ML algorithms and their real-world applications.
• Excellent communication and collaboration skills in a remote, cross-timezone team environment.
• Bachelor's or Master's degree in Computer Science, Data Science, or related field (or equivalent experience).

• Be part of a mission-driven company building the future of AI-powered FinTech.
• Fully remote role with a global, diverse team.
• Equity-based compensation with the potential for future full-time opportunities.
• Culture of innovation, collaboration, and ownership.

• Are you open to equity-based compensation?
• Are you able to dedicate 16 hours weekly to our project?

If your answers are YES, then we are happy to meet you!

• Interview with Data Science Department Manager & TA Partner.
• Offer (based on final positive feedback).

Please submit your English CV.

Only shortlisted candidates will be invited to interview. Thank you.

Bizmoni is an equal opportunities employer and welcomes applications from diverse candidates.

Location: Fully remote

Employment type: Part-time

Bizmoni is the world's first AI Super App designed to help anyone earn, learn, and grow in the AI era. We are building a global, fully remote team to shape the future of financial technology. Our mission is to make powerful AI-driven financial and business tools accessible to everyone from individuals starting side hustles to enterprises scaling globally.

We are seeking a skilled and driven MLOps Engineer to design, automate, and optimize our machine learning infrastructure. In this role, you will play a crucial part in bridging the gap between data science and operations by streamlining our AI / ML workflows from experimentation to production.

You will collaborate closely with data scientists, data engineers, and developers to ensure our models are secure, scalable, reliable, and cost-efficient. Your work will directly impact thousands of users worldwide by enabling real-time, AI-powered financial insights and business solutions.

If you are passionate about deploying cutting-edge ML technologies and want to be part of a mission-driven fintech startup, we'd love to hear from you!

• Design, build, and maintain end-to-end machine learning infrastructure ensuring scalability, high availability, and performance.
• Automate ML pipelines with Docker, Kubernetes, and CI / CD frameworks.
• Collaborate with data scientists and engineers to streamline model deployment.
• Monitor and optimize models in production with observability tools (e.g., Prometheus, Grafana, ELK).
• Manage and optimize cloud infrastructure (AWS, Azure, or GCP) for efficiency and cost.
• Ensure compliance and security protocols for sensitive financial data.
• Provide support and maintenance to ensure the reliability of ML applications.

• Proven experience as an MLOps Engineer or similar role (fintech or AI startup experience is a plus).
• Strong programming skills in Python (preferred); familiarity with Java or Scala is a plus.
• Experience with ML frameworks and pipeline orchestration (MLflow, Airflow, Kubeflow, or SageMaker).
• Hands-on experience with cloud services (AWS, Azure, or GCP).
• Solid knowledge of containerization and orchestration (Docker, Kubernetes).
• Familiarity with Git and CI / CD tools.
• Strong understanding of ML algorithms and their real-world applications.
• Excellent communication and collaboration skills in a remote, cross-timezone team environment.
• Bachelor's or Master's degree in Computer Science, Data Science, or related field (or equivalent experience).

• Be part of a mission-driven company building the future of AI-powered FinTech.
• Fully remote role with a global, diverse team.
• Equity-based compensation with the potential for future full-time opportunities.
• Culture of innovation, collaboration, and ownership.

• Are you open to equity-based compensation?
• Are you able to dedicate 16 hours weekly to our project?

If your answers are YES, then we are happy to meet you!

• Interview with Data Science Department Manager & TA Partner.
• Offer (based on final positive feedback).

Please submit your English CV.

Only shortlisted candidates will be invited to interview. Thank you.

Bizmoni is an equal opportunities employer and welcomes applications from diverse candidates.

Location: Fully remote

Employment type: Part-time

Bizmoni is the world's first AI Super App designed to help anyone earn, learn, and grow in the AI era. We are building a global, fully remote team to shape the future of financial technology. Our mission is to make powerful AI-driven financial and business tools accessible to everyone from individuals starting side hustles to enterprises scaling globally.

We are seeking a skilled and driven MLOps Engineer to design, automate, and optimize our machine learning infrastructure. In this role, you will play a crucial part in bridging the gap between data science and operations by streamlining our AI / ML workflows from experimentation to production.

You will collaborate closely with data scientists, data engineers, and developers to ensure our models are secure, scalable, reliable, and cost-efficient. Your work will directly impact thousands of users worldwide by enabling real-time, AI-powered financial insights and business solutions.

If you are passionate about deploying cutting-edge ML technologies and want to be part of a mission-driven fintech startup, we'd love to hear from you!

• Design, build, and maintain end-to-end machine learning infrastructure ensuring scalability, high availability, and performance.
• Automate ML pipelines with Docker, Kubernetes, and CI / CD frameworks.
• Collaborate with data scientists and engineers to streamline model deployment.
• Monitor and optimize models in production with observability tools (e.g., Prometheus, Grafana, ELK).
• Manage and optimize cloud infrastructure (AWS, Azure, or GCP) for efficiency and cost.
• Ensure compliance and security protocols for sensitive financial data.
• Provide support and maintenance to ensure the reliability of ML applications.

• Proven experience as an MLOps Engineer or similar role (fintech or AI startup experience is a plus).
• Strong programming skills in Python (preferred); familiarity with Java or Scala is a plus.
• Experience with ML frameworks and pipeline orchestration (MLflow, Airflow, Kubeflow, or SageMaker).
• Hands-on experience with cloud services (AWS, Azure, or GCP).
• Solid knowledge of containerization and orchestration (Docker, Kubernetes).
• Familiarity with Git and CI / CD tools.
• Strong understanding of ML algorithms and their real-world applications.
• Excellent communication and collaboration skills in a remote, cross-timezone team environment.
• Bachelor's or Master's degree in Computer Science, Data Science, or related field (or equivalent experience).

• Be part of a mission-driven company building the future of AI-powered FinTech.
• Fully remote role with a global, diverse team.
• Equity-based compensation with the potential for future full-time opportunities.
• Culture of innovation, collaboration, and ownership.

• Are you open to equity-based compensation?
• Are you able to dedicate 16 hours weekly to our project?

If your answers are YES, then we are happy to meet you!

• Interview with Data Science Department Manager & TA Partner.
• Offer (based on final positive feedback).

Please submit your English CV.

Only shortlisted candidates will be invited to interview. Thank you.

Bizmoni is an equal opportunities employer and welcomes applications from diverse candidates.