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About the role
The Senior Engineer will develop and prototype complex AI and machine learning solutions using advanced techniques. They will collaborate within an Agile team to build modular, reusable software and solve challenging technical problems.
What they look for
Requirements
Candidates must have at least 6 years of experience in AI/ML engineering and proficiency in Python and SQL. A bachelor's degree in a related field is recommended, with a master's degree in Artificial Intelligence considered a plus.
Full description
- Bachelor’s degree in a related field, such as computer science, software engineering or data science, is recommended. Master’s degree in Artificial Intelligence a plus
- 6+ years of experience working in AI /Machine Learning Engineering role
- Proficient in Python and SQL
- Strong experience with Generative AI (e.g. ChatGPT, GPT-4, LlaMA, Vicuna)
- Working knowledge of NLP techniques for sentiment analysis, text summarisation, question-answering
- Deep knowledge of ML techniques, including linear algebra and statistics
- Understanding of object detection, tracking, semantic or instance segmentation in computer vision
- Experience with at least one deep learning framework (e.g., TensorFlow, PyTorch, Caffe, Keras)
- Proficient in software design patterns (e.g. writing abstract, reusable, and modular code)
- Experience with at least one cloud provider solution (AWS, GCP, Azure)
- Relevant working experience with Docker and Kubernetes is a big plus
- Ability to quickly prototype ideas and solve complex problems by adapting creative approaches
- Experience working in an AGILE development team.
- Excellent communication & presentation skills
- Outstanding analytical and problem-solving skills
Long Description
- Bachelor’s degree in a related field, such as computer science, software engineering or data science, is recommended. Master’s degree in Artificial Intelligence a plus
- 6+ years of experience working in AI /Machine Learning Engineering role
- Proficient in Python and SQL
- Strong experience with Generative AI (e.g. ChatGPT, GPT-4, LlaMA, Vicuna)
- Working knowledge of NLP techniques for sentiment analysis, text summarisation, question-answering
- Deep knowledge of ML techniques, including linear algebra and statistics
- Understanding of object detection, tracking, semantic or instance segmentation in computer vision
- Experience with at least one deep learning framework (e.g., TensorFlow, PyTorch, Caffe, Keras)
- Proficient in software design patterns (e.g. writing abstract, reusable, and modular code)
- Experience with at least one cloud provider solution (AWS, GCP, Azure)
- Relevant working experience with Docker and Kubernetes is a big plus
- Ability to quickly prototype ideas and solve complex problems by adapting creative approaches
- Experience working in an AGILE development team.
- Excellent communication & presentation skills
- Outstanding analytical and problem-solving skills