Job Description
Minimum qualifications:
Bachelor's degree in Computer Science or equivalent practical experience.
6 years of experience building machine learning solutions and working with technical customers.
Experience designing cloud enterprise solutions and supporting customer projects to completion.
Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.
Preferred qualifications:
Experience designing applications powered by Large Language Models and leading their implementation.
Experience working with recommendation engines, data pipelines, or distributed machine learning.
Experience with deep learning frameworks (e.g., Tensorflow, pyTorch, XGBoost).
Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).
Understanding of contact center technologies and platforms (e.g., Avaya, Genesys, Cisco, Mitel, Twilio, etc.).
Understanding of the auxiliary practical concerns in production machine learning systems.
Bachelor's degree in Computer Science or equivalent practical experience.
6 years of experience building machine learning solutions and working with technical customers.
Experience designing cloud enterprise solutions and supporting customer projects to completion.
Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.
Preferred qualifications:
Experience designing applications powered by Large Language Models and leading their implementation.
Experience working with recommendation engines, data pipelines, or distributed machine learning.
Experience with deep learning frameworks (e.g., Tensorflow, pyTorch, XGBoost).
Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).
Understanding of contact center technologies and platforms (e.g., Avaya, Genesys, Cisco, Mitel, Twilio, etc.).
Understanding of the auxiliary practical concerns in production machine learning systems.
💡 Quick Summary
Seeking a career-building opportunity? The Conversational AI Consultant, Google Cloud position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in London offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.