Architect - AI Architect

2 months ago

Mumbai, India NEC Full time
Job Description

Job Summary: We are seeking a hands-on AI Architect to join our AI Tech Team. The candidate will be responsible for spearheading the design and development of AI solutions within the Cloud frameworks, with a focus on Google Cloud Platform (GCP). This role is crucial to our goal of providing cutting-edge AI solutions that deliver substantial benefits to the scientific community.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 client 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 Cloud-native AI, NLP, Python programming, TensorFlow, TFX, Kubeflow, PyTorch, Scikit-learn, BERT, AI embedding techniques, model tunning techniques, model validation techniques, feature engineering technologies, data engineering, etc.• Mentor junior developers. Qualifications: • 10+ year hand-on experience of building AI/ML solutions.• Proven experience in AI development and cloud-native 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, 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 explanation, feature-based and example-based.‘• Experience in turning research and concept into business products, working with business stakeholders to develop products that work at scale. • Ability to work collaboratively in a dynamic team environment.• 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

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