AI and Machine LearningEngineer -

Responsibilities

: Work closely with the Data Science team to introduce automation andernance in their machine learning pipelines Manage the infrastructure and orchestration pipelines needed to automatically train and bring machine learning models to production Implement solutions to monitorthe performance of Machine Learning models in production over time Work in teams with other technical experts, Data Engineers, Data scientists, MLOps Engineers, Data Visualization Specialists Interact with domain experts from different industries to understand and tackle challenging problems Explore and understand client datain relation to the problem you're tackling anmunicate findings to clients and stakeholders

About the candidate: A minimum Bachelor's degree in Engineeringputer Science is required. The ideal candidatewill have a Bachelor's degree in Engineeringputer Science and a Master's degree in Data Science or Artificial Intelligence Excellentmunications skills; an ability tomunicate with impact, ensuringplex information is articulated in a meaningful way to wide and varied audiences You have an excellent understanding of key concepts inputer science ( databases, software engineering practices, cloudputing - especially AWS) and data science ( machine learning process) Excellent knowledge of Python includingPytorch, Tensorflow andSKLearn as well as initial knowledge of LangChain andRAGAS. Familiarity with CI/CD workflows is required and experience with containerisation and deployment using Docker/Kubernetes will be considered a plus 1+ year experience working in relevant role (training, evaluating and deploying Machine learning models) You can demonstrate a growth mindset in terms ofpicking up new challenges and transforming them in an opportunity to learn Flexibility regarding business travelling and positiveattitude towards working across different client projects

Reply is an Equal Opportunities Employer andmitted to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skin colour, marital status or parental status or any other characteristic protected by the Law.



Reply ismitted to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.

Job ID 10783