ML Engineer - #1159867

Duration: 1 year Contract subject to renewal

Job Description

Design and deliver scalable real-time data and machine learning solutions by building robust ingestion and transformation frameworks across Hadoop ecosystems. Enable end-to-end ML model operationalization and performance optimization, while supporting multi-modal data processing and development of engineering tools and applications.

Key Responsibilities & Skillset

• Design and develop highly scalable, Real time systems using Hadoop ecosystem components(Iceberg, Spark, Ozone, Trino, Hive, Ranger, Kafka, Flink and Nifi)

• Build robust data ingestion and transformation frameworks using Java, Spark, Python, and shell scripting for ingesting multi model data(image, audio, video, unstructured documents) with both batch and real-time.

• Develop full stack applications and internal engineering tools using Python, shell scripting, and modern web frameworks (e.g., Flask, React).

• Collaborate closely with data scientists to operationalize machine learning models using Cloudera Machine Learning (CML).

• Perform performance tuning and optimization of data applications on Hadoop to ensure optimal resource utilization.

• Experience working with ML platforms such as CML, Spark MLlib, and Python ML libraries (scikit learn, XGBoost), including model deployment.

• Design and develop highly scalable, Real time systems using Hadoop ecosystem components(Iceberg, Spark, Ozone, Trino, Hive, Ranger, Kafka, Flink and Nifi)

• Build robust data ingestion and transformation frameworks using Java, Spark, Python, and shell scripting for ingesting multi model data(image, audio, video, unstructured documents) with both batch and real-time.

• Develop full stack applications and internal engineering tools using Python, shell scripting, and modern web frameworks (e.g., Flask, React).

• Collaborate closely with data scientists to operationalize machine learning models using Cloudera Machine Learning (CML).

• Perform performance tuning and optimization of data applications on Hadoop to ensure optimal resource utilization.

Skills

• Experience with Python, Java, Scala, or C++

• ML Frameworks & Libraries – XGBoost, Scikit‑learn, Tensor Flow/keras, Hugging face (NLP/NLQ/Gen AI use cases)

• Full-Stack Development

• Performance Optimization

• Data Engineering & Ingestion Frameworks

• Collaboration with Data Science Teams