Artificial Intelligence Architect - Anywhere in India/Multiple Locations/UK - SKEP IT SYSTEMS

Description

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.

• 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, opensource LLMs (e.g., BERT, Llama), and cloudnative AI technologies for text and topic learning.
• Work with a diverse tech stack, including Cloudnative AI, NLP, Python programming, TensorFlow, TFX, Kubeflow, PyTorch, Scikitlearn, BERT, AI embedding techniques, model tuning techniques, model validation techniques, feature engineering technologies, and data engineering.
• Mentor junior 10+ years of handson experience in building AI/ML solutions.
• Proven experience in AI development and cloudnative AI solutions in GCP Cloud (AWS experience is a plus).
• Proficiency in ML practice and MLOps.
• Proficiency in TensorFlow, TFX, Kubeflow, PyTorch, Scikitlearn, BERT, LLMs, etc.
• Proficiency in Topic Modelling, NLP, and opensource 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.

• 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. )