Graduate AI & Machine Learning Engineer

Requisition ID 5728

- Posted - Years of Experience (1) -

Technology

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Job

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 specialize 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. Your responsibilities include analyzing client requirements, managing the ML lifecycle from data collection and model design to deployment and monitoring, and collaborating with data scientists and MLOps engineers to implement models into production. Data Reply offers extensive training and a clear learning path, with opportunities to participate in hackathons, code challenges, and lab camps. Working with leading brands provides valuable project experience.

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 cross-disciplinary teams including Data Engineers, Data Scientists, MLOps Engineers, and Data Visualization Specialists.

Engage with domain experts to understand and address complex problems.

Analyze and communicate client data insights to stakeholders.

About the candidate:

Minimum 2.1 Bachelor’s degree in ICT/Computer Science; a Master’s in Data Science or AI is a plus.

Strong communication skills to articulate complex concepts effectively.

Solid understanding of computer science fundamentals (databases, software engineering, cloud computing especially AWS) and data science (machine learning processes).

Proficiency in Python and frameworks such as PyTorch, TensorFlow, scikit-learn, with some knowledge of LangChain, RAGAS, and CI/CD.

Growth mindset and eagerness to learn new challenges.

Willingness to travel and adapt to different client projects.

Additional information:
Reply is an Equal Opportunities Employer committed to diversity and fair recruitment practices. We welcome applicants from all backgrounds and encourage you to specify any reasonable adjustments needed during the recruitment process.

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