AI Engineer
FCamara Consulting & Training
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇧🇷 Brazil
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AirflowAWSAzureCloudDockerGoogle Cloud PlatformGraphQLJenkinsKubernetesNoSQLPandasPythonPyTorchScikit-LearnSQLTensorflow
About the role
- Collaborate with the AI Solutions Architect to translate business requirements into scalable and efficient ML/AI models and pipelines.
- Implement AI models, validate their performance, and ensure integration with existing architectures.
- Develop robust data pipelines: data collection, processing, model training, and deployment.
- Integrate AI solutions into production environments, following MLOps best practices (monitoring, automation, scalability), with knowledge of MLflow or platforms such as AzureML or Google Vertex AI.
- Work closely with commercial and product teams to prototype and validate proposals, delivering iteratively and focusing on customer-centered solutions.
- Actively participate in assessing technical risks (performance, scalability, security) and collaborate on implementing preventive solutions.
- Ensure efficient use of cloud tools (AWS, Azure, GCP) in solution development and deployment.
- Collaborate on creating technical documentation and best practices in alignment with the architect and other stakeholders.
Requirements
- Experience in developing and deploying Machine Learning and Deep Learning models.
- Proficiency in programming languages such as Python (TensorFlow, PyTorch, Scikit-learn, Pandas).
- Experience with MLOps and CI/CD tools (MLflow, Kubeflow, Jenkins, GitLab CI).
- Strong experience with SQL and NoSQL databases and query optimization practices.
- Experience with cloud computing services (AWS, Azure, or GCP) and containers (Docker, Kubernetes).
- Familiarity with system architectures, data pipelines, and API integration best practices (REST, GraphQL).
- Nice-to-have / Differentials:
- Experience with Generative AI and large language models (LLMs) (e.g., GPT, BERT).
- Experience with cloud orchestration tools such as Airflow, Data Factory, or Databricks Pipelines.
- Experience with Docker, Docker Compose, Kubernetes, or related tools such as Azure Container Apps.
- Experience working in agile environments (Scrum, Kanban).
- Experience collaborating on projects with solution architects or commercial teams.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Machine LearningDeep LearningPythonTensorFlowPyTorchScikit-learnPandasSQLNoSQLMLOps
Soft skills
collaborationcustomer-centered solutionstechnical risk assessmentcommunicationiterative delivery