Job Description:
Proficiency in writing robust code in one or more of Python, Go, and Java.Mastery of core technologies such as Spark, Hadoop, and Hive.Hands-on experience in developing real-time applications, particularly in Spark and streaming platforms like Kafka and Kinesis.Strong understanding of machine learning pipelines and frameworks, including TensorFlow and PyTorch (considered a plus).Familiarity with cloud services like AWS, Azure, and proficiency in workflow orchestration tools (e.g., Airflow).Possession of a degree with a strong technical focus (Computer Science, Engineering).Responsibilities include designing, developing, debugging, and modifying components of machine learning and deep learning systems and applications, encompassing data/ETL and feature engineering pipelines.Collaborate effectively with data scientists, machine learning engineers, program and product managers in the development of assigned components.Actively engage in group technology reviews to provide constructive feedback on the work of both oneself and others.
What else should you know?100% Remote11 month Contract
What's next?Apply now!For any questions, email Michael.Palatini@swoontech.com