Fulltime
7+ years of knowledge in using any one of the popular Machine Learning languages such as
Python, SQL, and/or Scala.
Ability to effectively communicate through presentation, interpersonal, verbal, and written
skills.
Hands-on experience in AI/ML/NLP Model Engineering.
Experience working in environments such as Conda, Jupyter, and Hadoop ecosystem.
Knowledge of methodologies such as Agile, CI/CD/CT, code repo, automation, scheduling,
monitoring.
Experience to tools such as JIRA, Github, Jenkins, ML Ops, OpenShift,. etc
Knowledge of Cloud computing with a focus on tools, technology, and development methods
pertaining to Machine Learning.
Knowledge of Information Architecture, Data warehouse/databases, big data platforms, Data
Visualization.
Background knowledge of development, testing, infrastructure, operations, technical
architecture, and corporate functions (e.g. data quality compliance, governance etc.)
Experience to working with a globally distributed Software Development |