Graduate Engineer - Reply

Job Description

Graduate AI and Machine Learning Engineer

About Data Reply:

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 in designing and developing machine learning processes across various client environments. You will support analyzing client requirements and generating suitable recommendations. You will manage the ML lifecycle from data collection and model design to operationalization and monitoring. You will work closely with data scientists and senior MLOps Engineers to deploy models into production. At Data Reply, you'll benefit from extensive training and a detailed learning path. You will be part of a diverse environment, engaging in Hackathons, Code Challenges, Labcamps, and our graduate learning programme. You will also have the opportunity to work on projects with leading brands.

Responsibilities:

• Collaborate with the Data Science team to automate and govern machine learning pipelines
• Manage infrastructure and orchestration pipelines for training and deploying models
• Implement solutions to monitor model performance in production
• Work with Data Engineers, Data Scientists, MLOps Engineers, and Data Visualization Specialists
• Engage with domain experts to understand and solve complex problems
• Analyze and interpret client data, communicating findings effectively

About the candidate:

• A minimum 2.1 Bachelor's degree in ICT/Computer Science; a Master's in Data Science or AI is preferred
• Excellent communication skills, capable of conveying complex information clearly
• Strong understanding of computer science concepts (databases, software engineering, cloud computing, especially AWS) and data science (machine learning processes)
• Proficiency in Python, including Pytorch, TensorFlow, SKLearn; some knowledge of LangChain, RAGAS, and CI/CD
• A growth mindset and eagerness to learn new challenges
• Willingness to travel and adapt to different client projects

We are an Equal Opportunities Employer committed to diversity and inclusion. We provide fair recruitment processes and accommodations for all applicants.