
Building Scalable Data Platforms
Há 2 dias
As a Senior Data Engineer, you will play a key role in building scalable data platforms and cutting-edge MLOps solutions. You will work with a fast-paced US-based company, leading innovations in sustainable commerce and data-driven operations.
Responsibilities:- Design, develop, and maintain robust, scalable data infrastructure across real-time and batch workloads.
- Build and support ML pipelines for model training, deployment, and monitoring.
- Collaborate cross-functionally with data scientists, engineers, and product teams to deliver high-performance data and ML solutions.
- Develop APIs and services for data ingestion, transformation, and querying.
- Ensure the reliability of ML systems through strong observability and operational tools.
- Contribute to architectural decisions and mentor team members.
- 5+ years as a Data Engineer or MLOps Engineer.
- Strong experience with Python, Java, or Scala.
- Hands-on with GCP (preferred), AWS or Azure.
- Experience with BigQuery, ML frameworks (TensorFlow, PyTorch), and container orchestration (Docker, Kubernetes).
- Familiarity with Apache Kafka, Spark, or similar tools is a big plus.
- Experience with 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.
- Top-tier hourly rate paid in USD.
- 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.
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