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    4. Graduate Machine Learning Ops Engineer
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    Tasks

    • Assist in the design and development of machine learning operational processes in a variety of client environments
    • Support the analysis of client requirements and help generate suitable recommendations
    • Assist in managing the ML lifecycle: data selection and collection, ML model design and creation, operationalisation, and monitoring
    • Support the development of Infrastructure as Code assets for client ML needs using AWS CDK
    • Work closely with data scientists and senior MLOps Engineers to understand and implement models into production

     

    Benefits

    • Extensive training opportunities (e.g. cloud certifications)
    • Structured career progression - at Reply we encourage career growth and will give you the tools and guidance to achieve subject matter expertise and management capabilities
    • Diverse and vibrant environment - you will be surrounded by peers who share your passion for technology and innovation
    • Opportunities to get involved in Hackathons, Code Challenges and Lab Camps
    • Your education doesn’t need to stop here! Reply pride themselves on continuously learning about emerging technologies
    • Opportunity to work on projects with some of the world’s leading brands

     

    Qualifications

    • Bachelor's degree in Computer Science or in a related field 
    • Very good understanding or academic experience in Machine Learning and Data Science
    • Familiarity with MLOps concepts, including CI/CD for ML/DL models
    • Some experience or proficiency in Python, and familiarity with data science libraries such as Scikit-Learn, TensorFlow, or PyTorch
    • Basic understanding of cloud platforms (AWS) and container technologies (Docker, Kubernetes)
    • Excellent communication and teamwork skills

     

    About Data Reply

    Data Reply is the Reply Group company offering a broad range of analytics and data processing services. We operate across different industries and business functions, working directly with executive level professionals, enabling them to achieve meaningful outcomes through effective use of data. We find that one of the biggest problems experienced by our clients today is being overwhelmed with the amount of data that they face and not knowing how to leverage it to their advantage. The vast landscape of available technology stacks and models means that choosing the right ones can be a daunting task. Most companies know that their data is valuable, and that they should be making the most out of it to stay competitive, but often don’t know where to begin or what to prioritise. At Data Reply, we pride ourselves on helping clients make the right decisions to build their data strategy. With our consultants’ expertise, we map the right technologies to meet our clients’ business needs. We deal in bespoke solutions, and offer in house training to ensure that our clients realise the full value of their big data solution.