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AI Engineer

4 months ago

Birmingham, United Kingdom Tech Kinect Full time

As a AI Engineer, you will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage cutting-edge machine learning and AI technologies. The work you do will help our customers solve a broad range of high-impact problems across various industries.

You are an engineering-focused professional with a keen interest and working knowledge of operationalized machine learning. You have a strong desire to take the latest ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical, and practical requirements.

You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, you'll work in cross-functional teams with representation from commercial, data science, product management, and design specialties to cover all aspects of AI product delivery.


Key Responsibilities:

  • Building software and infrastructure that leverages Machine Learning
  • Creating reusable, scalable tools to enable better delivery of ML systems
  • Working with customers to understand their needs and requirements
  • Collaborating with data scientists and engineers to develop best practices and new technologies
  • Implementing and developing to operationalizing ML software


Requirements:

  • Understanding of and interest in the full machine learning lifecycle, including deploying trained models
  • Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch
  • Knowledge of common supervised and unsupervised learning techniques
  • Experience in Software Engineering, including programming in Python
  • Technical experience of cloud architecture, security, deployment, and open-source tools
  • Demonstrable experience with containers, Docker, and Kubernetes
  • Comfort in a high-growth, dynamic startup environment
  • Excellent verbal and written communication skills
  • Excitement about working in an autonomous, problem-solving role