Data Science Engineer

2 weeks ago


Fatih, Istanbul, Turkey Vodafone Full time
Job Description

This position requires a deep understanding of data pipelines, data wrangling, and feature engineering for ML models. The ideal candidate will be able to fine-tune and monitor models, leveraging MLOps principles to ensure business relevance and technical excellence.

Requirements
  • At least 5 years of hands-on experience designing, building, and deploying ML applications in large-scale data environments.
  • Experience with flash attention, VectorDB, CUDA, and GraphDBs (e.g., Neo4j).
  • Strong programming skills in Python; additional languages are a plus.
  • Proficiency with Big Data tools such as Hadoop, Spark, Kafka, and Elasticsearch.
  • Experience with relational and NoSQL systems like HBase, MongoDB, and PostgreSQL.
  • Knowledge of open data lakehouse architectures, including object storage solutions like MinIO, S3, and Iceberg.
  • Deep understanding of model evaluation techniques and metrics.
  • Hands-on experience with Kubeflow, Airflow, or equivalent for pipeline orchestration.
  • Proficiency in AIOps, LLMOps, and MLOps(MLFlow) for streamlined AI/ML lifecycle management.


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