AI Engineer, bigspark

AI Engineer, bigspark

Company bigspark
Job title AI Engineer
Job location UK Remote
Type Full Time

Responsibilities:

  • Adhere and contribute to our delivery principles
  • Develop scalable and efficient AI pipelines for training, testing and deploying machine learning models in a production environment.
  • Optimize performance and accuracy of AI models through experimentation and fine-tuning.
  • Thorough understanding of the Machine Learning Operation (MLOps) and model lifecycle
  • Stay up to date with the latest advancements in AI and machine learning technologies and incorporate into our solutions as appropriate.
  • Interact with stakeholders and program management to understand client requirements
  • Solution Design – Using predefined architectural components to agree an acceptable design
  • Deliver software development for clients, whilst collaborating with team members at various levels across the globe

Requirements & Skills:

  • Degree in Computer Science, Machine Learning, or a related field.
  • Experience with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.
  • Knowledge of software engineering best practices, including version control, automated testing, and continuous integration/continuous deployment (CI/CD).
  • Experience with natural language processing (NLP), computer vision, or other specialized domains within AI/ML.
  • Proven experience in developing AI/ML solutions, preferably in a commercial setting.
  • Strong proficiency in Python programming and popular libraries/frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Solid understanding of machine learning concepts, algorithms, and techniques, including supervised/unsupervised learning, deep learning, reinforcement learning, etc.
  • Hands-on experience with data preprocessing, feature engineering, and model evaluation/validation.
  • Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models at scale.
  • Excellent problem-solving skills, attention to detail, and ability to work independently or collaboratively in a team environment.
  • Effective communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

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