AI Engineer
Global Ltd
London, UK
3 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
£48,000.0 - £55,000.0
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Artificial Intelligence
Amazon Web Services
Computer Vision
Microsoft Azure
Big Data
Cloud Computing
Databases
Data Cleansing
Python (Programming Language)
Machine Learning
Tensorflow
+9 more
Software Engineering
Google Cloud
Chatbots
Pytorch
Large Language Models
Deep Learning
Generative AI
Information Technology
Machine Learning Operations
Job description
We are looking for a skilled and innovative AI Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing artificial intelligence and machine learning solutions to solve real-world business problems., * Develop, train, and deploy machine learning and AI models
- Work with large datasets and perform data preprocessing and analysis
- Design and optimize NLP, deep learning, or computer vision models as required
- Collaborate with software developers, data scientists, and product teams
- Integrate AI solutions into existing applications and systems
- Monitor model performance and improve accuracy and efficiency
- Stay updated with the latest AI technologies and industry trends
- Create technical documentation and reports
Requirements
Do you have a Master’s degree?, * Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field
- Strong knowledge of Python, TensorFlow, PyTorch, or similar frameworks
- Experience with machine learning algorithms and data modeling
- Understanding of NLP, Generative AI, or Computer Vision concepts
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
- Knowledge of APIs, databases, and software development practices
- Strong analytical and problem-solving skills
- Good communication and teamwork abilities
Preferred Qualifications:
- Experience working on AI-based products or automation projects
- Knowledge of LLMs, Chatbots, or Generative AI applications
- Experience with MLOps and model deployment pipelines
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