We are looking for an AI Architect to join our team.
Responsibilities
- Architecture Design: Develop scalable and efficient AI architectures.
- Technical Guidance: Provide expertise and guidance to development teams.
- System Integration: Collaborate to integrate AI technologies into systems.
- Performance Optimization: Optimize AI models and infrastructure.
- Data Management: Manage large datasets for AI training.
- Ethical Considerations: Address ethical and privacy concerns.
- Technical Documentation: Create comprehensive technical documentation.
- Collaboration and Communication: Collaborate with stakeholders.
- Problem-Solving: Analyze and troubleshoot technical issues.
- Continuous Learning: Stay updated with AI advancements.
Requirements
- Education: Bachelors or masters degree in computer science or related field.
- Experience: 8+ years of experience with 3+ years as an architect. Extensive experience in Gen AI and LLM technologies, including exposure to open source LLMs is a must.
- Technical Expertise: Proficiency in NLP, machine learning, and deep learning. Familiarity with open source LLM frameworks like GPT-3/4 or similar models.
- Architectural Design: Ability to design scalable and efficient AI architectures.
- System Integration: Skill in integrating AI technologies, including open source LLMs, into new or existing systems.
- Performance Optimization: Experience in optimizing AI models and systems, including open source LLMs, for efficiency.
- Data Management: Knowledge of handling large datasets for Gen AI and LLM training, including open source LLMs.
- Ethical Considerations: Understanding of AI ethics and privacy concerns, particularly relevant to open source LLMs.
- Collaboration and Communication: Strong teamwork and communication skills.
- Problem-Solving: Aptitude for troubleshooting and resolving technical challenges related to open source LLMs.
- Continuous Learning: Willingness to stay updated with advancements in Gen AI, LLMs, and open source LLM technologies.
About Webtiga Private limited
Experts in Web 3 Technologies -Metaverse, Generative AI, Web3,Cybersecurity and DeFi spoken
For more details - please check out our website-https://www.webtiga.com/solutions/
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You will be part of the founding team at LDU and will be responsible for the end-to-end technology of the company including:
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Job Summary:
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AI Strategy Development:
- Collaborate with senior management to define and refine the AI strategy that aligns with the organization's goals and objectives.
- Identify opportunities to leverage AI and machine learning technologies to enhance business processes and create value.
Solution Design:
- Architect AI-driven solutions that meet business requirements, ensuring scalability, reliability, and security.
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Data Management:
- Oversee data strategy, including data acquisition, preparation, and governance, to support AI and microservices initiatives.
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AI Model Development:
- Lead the development and deployment of AI and machine learning models.
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Microservices Architecture:
- Define and implement microservices architecture patterns and best practices.
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- Collaborate with development teams to build and deploy microservices-based applications.
Monitoring Systems:
- Set up monitoring systems for AI and microservices solutions to ensure performance, reliability, and security.
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Integration and Deployment:
- Work with IT teams to integrate AI solutions and microservices into existing systems and applications.
- Ensure seamless deployment and monitoring of AI and microservices solutions in production environments.
Compliance and Security:
- Ensure that AI solutions, microservices, and monitoring systems comply with relevant regulations and data privacy standards.
- Implement security measures to protect AI models, data, and microservices.
Stakeholder Communication:
- Collaborate with business stakeholders to gather requirements and provide regular updates on AI and microservices project progress.
- Translate technical concepts into non-technical language for various audiences.
Research and Innovation:
- Stay up-to-date with emerging AI, microservices, and cloud computing trends, technologies, and best practices.
- Identify opportunities for innovation and propose new AI and microservices initiatives to drive business growth.
Requirements:
- Bachelor's or Masters degree in computer science, Data Science, or a related field.
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- AI-related certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
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