As a seasoned professional, you will design, develop, and maintain robust, scalable data infrastructure across real-time and batch workloads.
You will be responsible for building and supporting ML pipelines for model training, deployment, and monitoring.
* Collaborate with data scientists, engineers, and product teams to deliver high-performance data and ML solutions.
* Evaluate the reliability of ML systems through strong observability and operational tools.
Tech Stack & Requirements:
* 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).
Bonus Points:
* Familiarity with Apache Kafka, Spark, or similar tools.
* Experience with ETL, CI/CD, git, and monitoring pipelines.
We are looking for individuals who are fluent in English, have a Bachelor's or Master's degree in Computer Science or related fields, and can thrive in a fast-paced environment.