Job 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)
- Degree with a strong technical focus (Computer Science, Engineering)
- 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
Company Information
Infotree Global was founded in 2002 in a small office in Canton, MI, with a clear mission to bring the world’s best talent together with the greatest companies producing results through continuous improvement and innovation. Infotree Global has grown from a two-person operation to a global solutions company, functioning in over 150 countries across 5 different continents. We proudly serve more than 250 of the Global 1000, numerous government agencies, and some of the world’s largest nonprofit organizations.
Our sustained growth is attributed to our focus and commitment to our thousands of full-time professionals. Infotree Global recognizes that an emphasis on understanding, achieving, and exceeding our employee’s goals, aspirations, and overall experience is paramount. This “people over profits” mindset has yielded tremendous success for our employees and clients.
We offer a vast array of assignments across the world to help achieve and exceed career goals, providing motivated, dedicated, and hardworking professionals on our clients' teams. Our mission’s success is supported by several industry awards and accolades.
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