AI Engineer

Job description

Partners with data scientists, data managers, analysts, infrastructure engineers and peer AI Engineers to develop, operationalize, integrate, and scale new algorithmic products. Engages in proof of concepts and experiments to evaluate new models and technology. Develops high quality, standard-compliant and tested code. Refactors code of others as necessary. Contributes code and tools to central re-usable libraries and repositories. Develops data models, model features, data quality tests, ETL/ELT pipelines, and distributed compute architectures. Deploys algorithmic products across the clouds, skillfully leveraging cloud-native services. Manages and automates cloud resources (IaC). Implements DevOps, DataOps and MLOps principles in day-to-day work. Develops continuous integration, delivery, and training pipelines. Leverages observability and automation tools to manage operations of algorithmic products across the stack.

Job Qualifications

You should be a passionate leader and technologist who has graduated with a BS or MS in Business/Management Information Systems and/or Computer Science/Engineering, Programming/Software Development or Operations Research or Statistics or with proven track of record from programming areas. English Fluency

·  You need to have demonstrated mastery in applied Big Data technologies 
·  Scripting languages for manipulating data and experiences in python development especially in areas related to package development & distribution, reusable codebase maintenance, developer toolkit engineering
·  Big Data technologies (Hive, Impala) and NoSQL databases
·  SQL, Linux Shell Scripting
·  Experiences in software engineering in Cloud environments ( Azure or GCP)
· 
·Solid understanding of Software Development concepts (e.g., OOP, TDD, SOLID, Unit/Integration testing, Encapsulation, Interfaces design, Software integration, Software Development Lifecycle)

· 
Knowledge of emerging data and AI technologies and trends

· 
Formal education: Computer Science degree (or related)

Job Schedule
Full time

Job Number
R000092070

Job Segmentation
Experienced Professionals (Job Segmentation)