
AI Solution Architect
2 days ago
At Sandvik Asia Private Limited (Part of Sandvik Group), we offer you a world of opportunities. Our diverse businesses and global network enable you to explore your potential and thrive. So now we challenge you: Think one step further, and then take it
Job Profile:
We are seeking an experienced AI Solution Architect to join our team. You will be responsible for designing, developing, and implementing artificial intelligence (AI) solutions within the Azure platform. You will work closely with various teams, including data scientists, engineers, and business stakeholders, to identify and meet the necessary AI and machine learning (ML) requirements.
Role & responsibilities
- Design and Develop AI Solutions: Architect and implement AI models and applications that align with business needs and goals.
- Collaborate with Teams: Work with data scientists, engineers, and other stakeholders to translate requirements into AI architecture and systems.
- Azure Integration: Ensure seamless integration of AI solutions within the Azure ecosystem.
- Optimize AI Systems: Evaluate and optimize AI systems and applications to ensure efficiency and effectiveness.
- Technical Leadership: Provide technical leadership and support to the AI development team.
- Compliance: Ensure compliance with Global and Local AI ethical guidelines and data privacy regulations.
Preferred candidate profile
- Education: Bachelors or Masters degree in computer science, Information Technology, Engineering, or a related field.
Overall Experience: At least 10-12 years of experience in IT or software development.
Relevant Experience: A minimum of 5 years of experience in solution architecture or a similar role.
Specific Experience:
Cloud Platforms: At least 4-5 years of hands-on experience with Azure, including Azure AI services, data storage, and networking
- AI and Machine Learning: 4-5 years of experience in designing and implementing AI and ML solutions
Technical Leadership: Proven experience in leading technical teams and managing AI projects from conception to deployment
Certifications: Azure AI Engineer Associate, Azure Solutions Architect Expert, or similar certifications.
Technical Skills:
Azure: Strong knowledge of Azure Ecosystem.
- Data Management: Skills in data processing, storage solutions, and data security.
Programming Languages: Knowledge of languages such as Python, Java, C#, or similar.
AI and ML Frameworks: Experience with AI and machine learning frameworks and tools.
- System Architecture: Strong understanding of system architecture, including microservices, APIs, and integration patterns
Soft Skills:
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Ability to lead and mentor a team.
- Accountability
- Creativity & Flexibility
- Effective Communications
- Knowledge Sharing
- Networking
- Problem Solving
- Producing Results
- Teamwork
- Initiative
- Working in International business experience
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