Career Opportunities: Graduate AI and Machine LearningEngineer - (10783)
Requisition ID10783-Posted - Years of Experience (1) -Technology- Where (1) -Job
DATA REPLY are data specialists, offering data platforms, BI, advanced analytics and AI/Machine Learning (ML) solutions to drive business success. We specialise in developing, deploying and operating production data solutions on AWS cloud.www.data.reply.com
Role overview:
As a Graduate AI & Machine Learning Engineer, you'll assist our team inthe design and development of machine learningprocesses in a variety of client environments. You will support the analysis of client requirements and help generate suitable recommendations. You will help managethe ML lifecycle fromdata selection and collection, ML model design and creation all the way through tooperationalizationand monitoring. You will work closely with data scientists and senior MLOps Engineers to understand and implement models into production. At Data Reply, you'll enjoy extensive training opportunities coupled with a detailed learning pathto guide you along the way.You'll thrive in our diverse and vibrant work environment andwill be surrounded bypeerswho share your passion fordata and technology. As a graduate at Reply, you will get involved inHackathons, Code Challenges or Labcamps as well as our graduate learning programme. As a Data Reply consultant, you will love the opportunity to work on projects with some of the world’s leading brands.
Responsibilities:
Work closely with the Data Science team to introduce automation and governance 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, e.g. 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 andcommunicate findings to clients and stakeholders
About the candidate:
A minimum 2.1 Bachelor’s degree in Engineering/Computer Science is required. The ideal candidatewill have a Bachelor’s degree in Engineering/Computer Science and a Master’s degree in Data Science or Artificial Intelligence
Excellent communications skills; an ability to communicate with impact, ensuring complex information is articulated in a meaningful way to wide and varied audiences
You have an excellent understanding of key concepts in computer science (e.g. databases, software engineering practices, cloud computing - especially AWS) and data science (e.g. 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 model)
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 and committed 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 is committed 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.
#J-18808-Ljbffr