About Us
Voolt.com is an innovative SaaS platform revolutionizing lead generation and automation for trades businesses. We harness big data, AI, and scalable infrastructure to build powerful, intelligent marketing systems. We’re now seeking a Data Engineer / Data Scientist who can help architect and scale our data and machine learning systems — from ingestion pipelines to intelligent agents and fine-tuned models driving real-world business impact.
What You’ll Do
- Architect Agent-Based Systems: Design and implement autonomous, ML-driven agents to power intelligent decisions across marketing automation tasks.
- Build & Scale ETLs: Develop robust ETL pipelines to extract, transform, and load data from multiple sources, ensuring high availability and quality.
- Model Development & Fine-Tuning: Train and fine-tune machine learning models (classification, regression, recommendation, etc.) using appropriate frameworks and techniques.
- Data Infrastructure: Work with large-scale datasets (structured and unstructured), architecting scalable storage and processing solutions using tools like SQL, Spark, or Azure Data Factory.
- Cloud Deployment: Deploy ML models and data pipelines on cloud platforms such as Azure, AWS, or GCP, ensuring monitoring, reliability, and performance.
- Cross-Functional Collaboration: Partner with backend engineers, product managers, and marketers to align data science outputs with business needs.
- API Integration & Automation: Leverage APIs (e.g., Google Ads, Meta Ads, Google Analytics) for continuous data ingestion and real-time optimizations.
- Monitoring & Evaluation: Continuously track model performance and system health, and implement retraining or architecture improvements as needed.
Who You Are
- Data Professional: 3+ years of experience in data engineering, data science, or machine learning roles.
- Agent Architecture Know-How: Experience designing or contributing to intelligent systems powered by agents, autonomous processes, or decision-making flows.
- ETL Expert: Skilled at building and maintaining data pipelines using tools like Apache Airflow, Azure Data Factory, dbt, or similar.
- ML & Fine-Tuning Savvy: Hands-on experience training, evaluating, and fine-tuning ML models using frameworks such as PyTorch, TensorFlow, Scikit-learn, or ML.NET.
- Programming Proficiency: Strong knowledge of Python and/or C# (.NET), especially as it relates to integrating ML into production systems.
- Cloud Native: Comfortable building and deploying ML/data workflows on Azure, AWS, or GCP.
- Data-Driven: Analytical thinker with a passion for solving real-world problems with data.
- Team-Oriented: Excellent communication skills and a collaborative mindset.
Preferred Skills
- Experience with marketing analytics or automation platforms.
- Familiarity with ad optimization, recommendation systems, and A/B testing.
- Understanding of event-driven architectures and real-time data streaming (e.g., Kafka, Pub/Sub).
Why Join Voolt?
- Innovation at Scale: Build real-world ML systems that impact thousands of small businesses.
- Ownership: Join a fast-growing startup where your contributions matter.
- Remote Flexibility: Work from anywhere in Brazil with a highly driven, global team.