Job Title: AI Architect (Mobilution IT Systems)
Experience Range: 07 – 14 Years
Location: Start from India Hybrid, In office Oxford, UK (Candidates later need to relocate to Oxford)
Budget: 45,00,000 - 90,00,000 per annum
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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