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Architect - Ai Architect
1 week ago
Rave Technologies - A Northgate Public Services Company, is a software services company that works with small and medium sized organisations.
Job Description:
Key Responsibilities:
- Lead the design, development, and implementation of AI solutions in the GCP Cloud environment (AWS is a plus).
- Lead AI problem framing, exploratory data analysis, data preprocessing, model training and tuning, and model serving.
- Develop the AI solution prototyping.
- Design and develop MLOps and oversee the implementation.
- Design and develop AI model serving solutions and oversee the implementation.
- Contribute to key projects, including manuscript analysis, editor recommendation systems, publication recommendation, quality checks in line with ACS standards, topic analysis, etc.
- Utilize advanced NLP technologies, open source LLMs (BERT, Llama, or the likes), and cloud[1]native AI technologies for text learning 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 tunning techniques, model validation techniques, feature engineering technologies, data engineering, etc.
- Mentor junior developers
Qualifications:
- 10+ year handon experience of building AI/ML solutions.
- Proven experience in AI development and cloudnative AI solution in GCP Cloud (AWS is a plus).
- Proficiency in ML practice and MLOps, including ML pipeline, AI embedding, model tunning, model validation, data validation, feature engineering, data engineering, model monitoring and ML automation.
- Proficiency in TensorFlow, TFX, Kubeflow, PyTorch, Scikitlearn, 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 explanation, featurebased and examplebased.
- Understand modern software engineering best practices, TDD, BDD, CI/CD, automation, etc.
- 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
Qualifications:
Additional Information
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