Machine Learning Engineer

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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 AI & Machine Learning Engineer, you\'ll be instrumental in the design and development of machine learning processes in a variety of client environments. You will analyse client requirements and help generate suitable recommendations. You will help manage the ML lifecycle from data selection and collection, ML model design and creation all the way through to operationalization and 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 path to guide you along the way. You\'ll thrive in our diverse and vibrant work environment and will be surrounded by peers who share your passion for data and technology. As a graduate at Reply, you will get involved in Hackathons, 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 monitor the 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 data in relation to the problem you’re tackling and communicate findings to clients and stakeholders

About the candidate

• A minimum 2.1 Bachelor’s degree in Engineering/Computer Science is required. The ideal candidate will 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 including Pytorch, Tensorflow and SKLearn as well as initial knowledge of LangChain and RAGAS.
• 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 of picking up new challenges and transforming them in an opportunity to learn
• Flexibility regarding business travelling and positive attitude 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.

Seniority level

• Associate

Employment type

• Full-time

Job function

• Consulting, Engineering, and Information Technology

Industries

• IT Services and IT Consulting, Business Consulting and Services, and Software Development

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