Senior Data Engineer - MLOps Expert
We're seeking a highly skilled Senior Data Engineer - MLOps Expert to join our growing data engineering team. This is a full-time opportunity for a talented professional who can design, develop, and maintain robust, scalable data infrastructure across real-time and batch workloads.
This role requires strong experience with data engineering tools such as GCP (preferred), AWS or Azure. Proficiency in Python, Java, or Scala is also essential. Additionally, expertise in BigQuery, ML frameworks (TensorFlow, PyTorch), and container orchestration (Docker, Kubernetes) is necessary.
Key Responsibilities:
* Design and develop 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.
Requirements:
* 5+ years of experience as a Data Engineer or MLOps Engineer.
* Strong experience with Python, Java, or Scala.
* Hands-on experience with GCP (preferred), AWS or Azure.
* Expertise in BigQuery, ML frameworks (TensorFlow, PyTorch), and container orchestration (Docker, Kubernetes).
* Familiarity with Apache Kafka, Spark, or similar tools is a plus.
What We Offer:
* A high-impact role within a data-driven, mission-oriented organization.
* A competitive hourly rate paid in USD.
* A long-term contract opportunity.
* Fully remote work environment.