Engineer

Data Science UA; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading innovator in AI solutions is seeking an MLOps Engineer with a minimum of 5 years of experience. The ideal candidate will have strong proficiency in Python and related ML libraries. Responsibilities will include implementing engineering best practices and deep knowledge of machine learning fundamentals. This role also involves hands-on experience with big data frameworks and automated data pipeline tools.

Qualifications

• Minimum 5 years in an MLOps Engineer role or a similar position.
• Strong proficiency in Python and related ML libraries.
• Extensive experience in implementing engineering best practices.

Skills

Python

MLOps practices

Machine Learning fundamentals

Apache Spark

Hadoop

Kafka

Airflow

AWS

GCP

Kubeflow

Job description

Attention! This vacancy is temporarily suspended!

Our client is a leading innovator in artificial intelligence solutions, specializing in AI‑driven chatbot technologies that revolutionize human‑machine interactions.

Requirements

• Minimum 5 years in an MLOps Engineer role or a similar position.
• Strong proficiency in Python and related ML libraries (PyTorch, Hugging face, Transformers).
• Extensive experience in implementing engineering best practices and a deep understanding of Machine Learning fundamentals.
• Hands‑on experience with technologies like Apache Spark (Spark SQL, MLlib/Spark ML) or similar big data frameworks and proficiency in tools such as Hadoop, Kafka, Cassandra, GCP BigQuery, AWS Redshift, Apache Beam, Apache Flink, etc.
• Experience with automated data pipeline and workflow tools, such as Airflow, Argo Workflows, Kubeflow, etc.
• Proficiency in one or more MLOps platforms/technologies such as AWS SageMaker, Azure ML, GCP Vertex AI, Databricks, MLFlow, Kubeflow, or TensorFlow Extended (TFX).