<p><b><u>Job Title : AI Architect</u></b><br/><br/>Experience Range : 07 - 14 Years<br/><br/>Location: Start from India Hybrid, In office Oxford, UK (Candidates later need to relocate to Oxford)<br/><br/><u><b>Note: We are seeking candidates willing to relocate to the UK.</b></u><br/><br/><b><b>Job Summary : </b><br/></b><br/>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.<br/><br/>Key Responsibilities :<br/><br/>- Lead the design, development, and implementation of AI solutions in the GCP Cloud environment (AWS experience is advantageous).<br/><br/>- Spearhead AI problem framing, exploratory data analysis, data preprocessing, model training and tuning, and model serving.<br/><br/>- Prototype AI solutions and oversee their development.<br/><br/>- Design and implement MLOps processes.<br/><br/>- Develop AI model serving solutions and oversee their implementation.<br/><br/>- Contribute to key projects, such as manuscript analysis, editor recommendation systems, publication recommendation, and quality checks, among others.<br/><br/>- Utilize advanced NLP technologies, open-source LLMs (e.g., BERT, Llama), and cloud-native AI technologies for text and topic learning.<br/><br/>- 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.<br/><br/>- Mentor junior developers.<br/><br/><b>Qualifications :</b><br/><br/>- 10+ years of hands-on experience in building AI/ML solutions.<br/><br/>- Proven experience in AI development and cloud-native AI solutions in GCP Cloud (AWS experience is a plus).<br/><br/>- Proficiency in ML practice and MLOps.<br/><br/>- Proficiency in TensorFlow, TFX, Kubeflow, PyTorch, Scikit-learn, BERT, LLMs, etc.<br/><br/>- Proficiency in Topic Modelling, NLP, and open-source LLMs.<br/><br/>- Experience in rapid prototyping and presenting AI solution design.<br/><br/>- Experience in creating AI explanations.<br/><br/>- Experience in turning research and concepts into business products.<br/><br/>- Ability to work collaboratively in a dynamic team environment.<br/><br/>- Understanding of modern software engineering best practices.<br/><br/>- General architecture of Cloud infrastructure is a plus.<br/><br/>- Bachelor's degree in computer science, Information Technology, or related field. Advanced or professional certifications in Cloud are advantageous.<b><br/><br/></b><b>What We Offer :</b><br/><br/>- A challenging and rewarding role in a leading scientific organization.<br/><br/>- Opportunity to work on groundbreaking AI projects with a global impact.<br/><br/>- Competitive compensation.<br/><br/>- A supportive environment fostering growth and development.</p> (ref:hirist.tech)