technologies including Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), Text-to-Speech Competence in coding languages like Python and R Hands-on exposure to AI frameworks and toolkits Proficiency systems Practical experience with Large Language Models (LLMs) Proficient in API integration and development Text-to-Speech (TTS), Speech-to-Text (STT), Large Language Models (LLMs), and integrating APIs Apply now For more
technologies including Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), Text-to-Speech in coding languages like Python and R
solutions.
Designing and implementing predictive models to optimize customer segmentation, credit risk
analysis and machine learning algorithms, with hands-on experience applying them to real-world problems
essential
candidate must be competence and experience in hands-on software development and system integration
candidate platforms
MUST BE SKILLED IN PROGRAMMING
Data modelling, database design, user interface design, prototyping
An AWS Data Engineer with -12 years hands-on data engineering experience is required to join a team of Business Intelligence (BI) Experience Technical data modelling and schema design (“not drag and drop”) Kafka
solutions. Designing and implementing predictive models to optimize customer segmentation, credit risk analysis and machine learning algorithms, with hands-on experience applying them to real-world problems
solutions. Designing and implementing predictive models to optimize customer segmentation, credit risk analysis and machine learning algorithms, with hands-on experience applying them to real-world problems
offers a unique blend of strategic leadership and hands-on technical expertise, aimed at safeguarding our availability of our systems and data. This hybrid working model provides the flexibility to balance your professional
Responsibilities:
machine learning, statistical and mathematical models to solve business problems and enable the effective data by utilising cutting-edge technologies and model data preparation.
Responsibilities: