Senior Artificial Intelligence/Machine Learning Engineer

Location: Brazil; 100% remote work mode

Company

hirify.global is a custom product engineering company supporting multinational organizations and scaling startups with a global team of over 4,000 technology professionals.

What you will do

• Own the ML lifecycle from problem framing and metric definition through training, deployment, monitoring, and cost control.
• Build classical ML, time-series, NLP, LLM, and RAG solutions where appropriate.
• Evaluate models rigorously using sound validation, relevant metrics, and release-gating evaluations.
• Deploy and operate models with Docker, CI/CD, and cloud ML platforms while monitoring drift.
• Use AI coding agents daily, validate their output, review code and experiments, and maintain current context.
• Collaborate with stakeholders, explain model trade-offs, and mentor other engineers.

Requirements

• 5+ years of ML experience, including shipping models to production.
• Strong Python skills with pandas, scikit-learn, and PyTorch or TensorFlow.
• Strong ML fundamentals, including validation, overfitting, feature selection, and imbalanced data.
• Strong SQL and Spark experience for large datasets.
• Experience with Docker, CI/CD, model serving, and monitoring.
• Experience with SageMaker, Azure ML, or Vertex AI.
• Production experience shipping LLM or RAG features and writing their evaluations.
• Daily use of an AI coding assistant while maintaining current codebase, data-schema, and standards context.
• Fluent English required; ability to explain model trade-offs to non-technical stakeholders.

Nice to have

• Anomaly detection, forecasting, recommender systems, or ranking experience.
• Fine-tuning with LoRA or PEFT; LangGraph or MCP.
• MLflow, Airflow, Kubeflow, Terraform, or Kubernetes.
• LLM cost-control techniques such as model routing, caching, and token budgets.
• AWS Certified Machine Learning Engineer – Associate or Claude Certified Developer certification.

Culture & Benefits

• Company-paid medical insurance, mental health programs, and 5 undocumented sick-leave days per year.
• 20 working days of paid vacation and local bank holidays.
• Internal meetups, conferences, workshops, Udemy access, language courses, and company-paid certifications.
• Long-term employment with internal mobility opportunities and access to a global professional community.
• Friendly, collaborative environment with an open-door policy, informal atmosphere, and team-building events.

Hiring process

• Submit an application to be considered for the role.