Description

You will build and maintain machine learning pipelines that process large-scale data to deliver real-time insights.

Responsibilities

• Design, develop, and debug components of machine learning and deep learning systems.
• Build and modify data, ETL, and feature engineering pipelines.
• Prototype creative solutions by developing minimum viable products.
• Collaborate with data scientists, product managers, and cross-functional teams to develop assigned components.

Required Skills

• 5+ years of experience in machine learning or related engineering roles.
• Proficiency in Python, Scala, or Java.
• Experience with Spark, Hadoop, and Hive.
• Hands-on experience building real-time applications using Spark and streaming platforms like Kafka or Kinesis.
• Strong understanding of machine learning frameworks such as TensorFlow and PyTorch.
• Experience with SQL for querying relational tables.
• Proficiency with AWS or Azure cloud services.
• Experience using workflow orchestration tools like Airflow.
• Degree with a strong technical focus in Computer Science or Engineering.

Preferred Skills

• Experience with SageMaker, Databricks, or Kubernetes.

Key Skills

Education

ANY GRADUATE