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Artificial Intelligence Architect
2 months ago
Job Title : AI Architect
Experience Range : 07 - 14 Years
Location: Start from India Hybrid, In office Oxford, UK (Candidates later need to relocate to Oxford)
Note: We are seeking candidates willing to relocate to the UK.
Job Summary :
We are looking for a hands-on AI Architect to join our AI Tech Team. The ideal candidate will lead the design and development of AI solutions within the Cloud frameworks, with a primary focus on the Google Cloud Platform (GCP). This role is pivotal in our mission to deliver cutting-edge AI solutions that bring significant benefits to the scientific community.
Key Responsibilities :
- Lead the design, development, and implementation of AI solutions in the GCP Cloud environment (AWS experience is advantageous).
- Spearhead AI problem framing, exploratory data analysis, data preprocessing, model training and tuning, and model serving.
- Prototype AI solutions and oversee their development.
- Design and implement MLOps processes.
- Develop AI model serving solutions and oversee their implementation.
- Contribute to key projects, such as manuscript analysis, editor recommendation systems, publication recommendation, and quality checks, among others.
- Utilize advanced NLP technologies, open-source LLMs (e.g., BERT, Llama), and cloud-native AI technologies for text and topic learning.
- Work with a diverse tech stack, including Cloud-native AI, NLP, Python programming, TensorFlow, TFX, Kubeflow, PyTorch, Scikit-learn, BERT, AI embedding techniques, model tuning techniques, model validation techniques, feature engineering technologies, and data engineering.
- Mentor junior developers.
Qualifications :
- 10+ years of hands-on experience in building AI/ML solutions.
- Proven experience in AI development and cloud-native AI solutions in GCP Cloud (AWS experience is a plus).
- Proficiency in ML practice and MLOps.
- Proficiency in TensorFlow, TFX, Kubeflow, PyTorch, Scikit-learn, BERT, LLMs, etc.
- Proficiency in Topic Modelling, NLP, and open-source LLMs.
- Experience in rapid prototyping and presenting AI solution design.
- Experience in creating AI explanations.
- Experience in turning research and concepts into business products.
- Ability to work collaboratively in a dynamic team environment.
- Understanding of modern software engineering best practices.
- General architecture of Cloud infrastructure is a plus.
- Bachelor's degree in computer science, Information Technology, or related field. Advanced or professional certifications in Cloud are advantageous.
What We Offer :
- A challenging and rewarding role in a leading scientific organization.
- Opportunity to work on groundbreaking AI projects with a global impact.
- Competitive compensation.
- A supportive environment fostering growth and development.
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