Senior Data Engineer (MLOps) Position
We're looking for a highly skilled Senior Data Engineer with expertise in MLOps to join our fast-paced team. This is a full-time, remote opportunity exclusively for candidates located in Brazil.
As a key member of our data engineering team, you'll be responsible for designing, developing, and maintaining robust data infrastructure across real-time and batch workloads. Your primary focus will be on building and supporting ML pipelines for model training, deployment, and monitoring.
You'll collaborate closely with cross-functional teams, including data scientists, engineers, and product teams, to deliver high-performance data and ML solutions. Additionally, you'll develop APIs and services for data ingestion, transformation, and querying, ensuring the reliability of ML systems through strong observability and operational tools.
Your technical skills should include:
* 5+ years of experience as a Data Engineer or MLOps Engineer.
* Strong proficiency in Python, Java, or Scala.
* Hands-on experience with GCP (preferred), AWS, or Azure.
* Familiarity with BigQuery, ML frameworks (TensorFlow, PyTorch), and container orchestration (Docker, Kubernetes).
* Experience with Apache Kafka, Spark, or similar tools is a plus.
* Knowledge of ETL, CI/CD, git, and monitoring pipelines.
* Strong communication skills and fluency in English (written & spoken) is mandatory.
* Bachelor's or Master's degree in Computer Science or related fields.
In return, we offer:
* A top-tier hourly rate paid in USD.
* A long-term contract opportunity.
* Fully remote work – collaborate with international teams from the comfort of your home.
* A high-impact role within a data-driven, mission-oriented company.