Data Engineer – MLOps & AI Platforms
Data Engineer – MLOps & AI Platforms
Job Details
Vacancies
1 position
Experience Required
No experience required
Job Description
We are seeking a Senior Data Engineer with MLOps experience to build and operate scalable data platforms that support machine learning, AI, and LLM use cases. This role focuses on enabling end-to-end ML pipelines, from data ingestion and feature engineering to model deployment and monitoring.
Key Responsibilities
Design and optimize large-scale data pipelines using Hadoop, Spark, and PySpark
Build batch and real-time data processing workflows for AI/ML workloads
Implement MLOps pipelines for model training, deployment, and monitoring
Develop scalable feature engineering pipelines using Python
Collaborate with ML engineers and data scientists to productionize AI/ML and LLM solutions
Support cloud-based AI platforms on AWS / Azure / GCP
Requirements
Strong experience in Hadoop, Apache Spark / PySpark
Proficiency in Python; Scala is an advantage
Hands-on experience with MLOps tools (Airflow, MLflow, Kubeflow, SageMaker, Azure ML)
Knowledge of machine learning workflows and AI systems
Experience with Docker, Kubernetes, and cloud platforms
Nice to Have
Exposure to LLMs, NLP, or advanced AI use cases
Experience with streaming tools (Kafka, NiFi)
Consulting or enterprise project experience
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Response Reality Check
SAGL CONSULTING PTE. LTD.
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