
Senior Data Infrastructure Architect
1 semana atrás
We are seeking a skilled professional to design and develop robust data infrastructure across real-time and batch workloads.
About the Role:- Build and support machine learning pipelines for model training, deployment, and monitoring.
- Collaborate with cross-functional 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.
- 5+ years experience as a Data Engineer or MLOps Engineer.
- Strong programming skills in Python, Java, or Scala.
- Hands-on experience with cloud platforms (GCP, AWS, Azure).
- Familiarity with BigQuery, ML frameworks (TensorFlow, PyTorch), and container orchestration (Docker, Kubernetes).
- Experience with ETL, CI/CD, git, and monitoring pipelines.
- Strong communication skills and fluency in English is mandatory.
- Bachelor's or Master's degree in Computer Science or related fields.
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