Skep IT Systems
Location
United Kingdom | India
Job description
Job Title : AI ArchitectExperience Range : 07 - 14 YearsLocation: 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. (ref:hirist.tech)
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