Big Data & Machine Learning Engineer

 Big Data:
 Develop data pipelines using Apache Spark and Kafka.
 Preprocess and store data for analytics and ML workflows.
 Machine Learning:
 Train and deploy ML models using TensorFlow, PyTorch, or
Scikit-learn.
 Expose ML models via APIs for real-time or batch
inference.

Skills

 Big Data: Apache Spark, Kafka, Hadoop.
 ML: Python (Pandas, NumPy), ML.NET for .NET Core integration.
 Infrastructure: Kubernetes for containerized ML workflows.
• Experience:
 5+ years in Big Data and ML engineering.