Infotree Global Solutions
Sr. Machine Learning/ Software Engineer
Infotree Global Solutions, Chicago, Illinois, United States, 60290
Responsibilities
Ability to write robust code in one or more of Python, Go, and Java Proficient in core technologies like Spark, Hadoop, and Hive Experience in building real-time applications, preferably in Spark and streaming platforms like Kafka and Kinesis Good understanding of machine learning pipelines and machine learning frameworks such as TensorFlow and Pytorch (Good to have) Familiar with cloud services like AWS, Azure, and workflow orchestration tools (e.g., Airflow) Design, develop, debug, and modify components of machine learning and deep learning systems and applications, including data/ETL and feature engineering pipelines Work collaboratively with data scientists, machine learning engineers, program, and product managers in the development of assigned components Qualifications
Degree with a strong technical focus (Computer Science, Engineering) Experience in Java, Python and handling highly scalable systems would be beneficial, having a database with knowledge of SQL, NO-SQL and Spark is a plus
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Ability to write robust code in one or more of Python, Go, and Java Proficient in core technologies like Spark, Hadoop, and Hive Experience in building real-time applications, preferably in Spark and streaming platforms like Kafka and Kinesis Good understanding of machine learning pipelines and machine learning frameworks such as TensorFlow and Pytorch (Good to have) Familiar with cloud services like AWS, Azure, and workflow orchestration tools (e.g., Airflow) Design, develop, debug, and modify components of machine learning and deep learning systems and applications, including data/ETL and feature engineering pipelines Work collaboratively with data scientists, machine learning engineers, program, and product managers in the development of assigned components Qualifications
Degree with a strong technical focus (Computer Science, Engineering) Experience in Java, Python and handling highly scalable systems would be beneficial, having a database with knowledge of SQL, NO-SQL and Spark is a plus
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