Role | AI Solution Architect / Solution Architect (12- 15 Years) |
Visit our websiteto know more. Follow us onLinkedInIInstagramIFacebookIXfor the exciting updates. |
What awaits you/ Job Profile | - Solution Design: Develop comprehensive architecture plans that incorporate AI technologies to solve complex business problems and enhance operational efficiency.
- AI Integration: Work with data scientists and engineers to integrate AI models and algorithms into business applications ensuring scalability and performance.
- Stakeholder Collaboration: Engage with business leaders and technical teams to gather requirements and translate them into effective AI solutions.
- Technology Evaluation: Stay updated with the latest AI technologies and tools evaluating their applicability to current and future projects.
- Quality Assurance: Implement best practices for AI model development and deployment ensuring high-quality and reliable solutions.
- Risk Management: Identify potential risks associated with AI implementations and develop strategies to mitigate them.
- Performance Monitoring: Monitor the performance of AI solutions using data-driven insights to optimize and improve outcomes
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What should you bring along | - Proven experience in solution architecture and AI technologies.
- Strong understanding of machine learning deep learning and data analytics.
- Excellent leadership communication and organizational skills.
- Proficiency in AI frameworks and programming languages such as Python TensorFlow and PyTorch.
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Must have skill | - Machine Learning & Deep Learning: Proficiency in designing training and deploying machine learning models and deep learning architectures.
- Programming Languages: Strong coding skills in languages such as Python R Java or C.
- AI Frameworks: Experience with AI frameworks and libraries like TensorFlow PyTorch Keras and Scikit-learn.
- Data Management: Expertise in data preprocessing data mining and data visualization techniques.
- Cloud Computing: Familiarity with cloud platforms such as AWS Azure or Google Cloud especially their AI and machine learning services.
- Big Data Technologies: Knowledge of big data tools like Hadoop Spark and Kafka for handling large datasets.
- Natural Language Processing (NLP): Understanding of NLP techniques for processing and analyzing text data.
|
Good to have technical skills | - Strong analytical and problem-solving skills.
- Ability to manage multiple projects simultaneously.
- Excellent time management and organizational skills.
- Strong interpersonal skills and ability to work collaboratively across departments.
|
Required Experience:
Manager
RoleAI Solution Architect / Solution Architect (12- 15 Years)Visit our websiteto know more.Follow us onLinkedInIInstagramIFacebookIXfor the exciting updates.What awaits you/ Job ProfileSolution Design: Develop comprehensive architecture plans that incorporate AI technologies to solve complex busines...
Role | AI Solution Architect / Solution Architect (12- 15 Years) |
Visit our websiteto know more. Follow us onLinkedInIInstagramIFacebookIXfor the exciting updates. |
What awaits you/ Job Profile | - Solution Design: Develop comprehensive architecture plans that incorporate AI technologies to solve complex business problems and enhance operational efficiency.
- AI Integration: Work with data scientists and engineers to integrate AI models and algorithms into business applications ensuring scalability and performance.
- Stakeholder Collaboration: Engage with business leaders and technical teams to gather requirements and translate them into effective AI solutions.
- Technology Evaluation: Stay updated with the latest AI technologies and tools evaluating their applicability to current and future projects.
- Quality Assurance: Implement best practices for AI model development and deployment ensuring high-quality and reliable solutions.
- Risk Management: Identify potential risks associated with AI implementations and develop strategies to mitigate them.
- Performance Monitoring: Monitor the performance of AI solutions using data-driven insights to optimize and improve outcomes
|
What should you bring along | - Proven experience in solution architecture and AI technologies.
- Strong understanding of machine learning deep learning and data analytics.
- Excellent leadership communication and organizational skills.
- Proficiency in AI frameworks and programming languages such as Python TensorFlow and PyTorch.
|
Must have skill | - Machine Learning & Deep Learning: Proficiency in designing training and deploying machine learning models and deep learning architectures.
- Programming Languages: Strong coding skills in languages such as Python R Java or C.
- AI Frameworks: Experience with AI frameworks and libraries like TensorFlow PyTorch Keras and Scikit-learn.
- Data Management: Expertise in data preprocessing data mining and data visualization techniques.
- Cloud Computing: Familiarity with cloud platforms such as AWS Azure or Google Cloud especially their AI and machine learning services.
- Big Data Technologies: Knowledge of big data tools like Hadoop Spark and Kafka for handling large datasets.
- Natural Language Processing (NLP): Understanding of NLP techniques for processing and analyzing text data.
|
Good to have technical skills | - Strong analytical and problem-solving skills.
- Ability to manage multiple projects simultaneously.
- Excellent time management and organizational skills.
- Strong interpersonal skills and ability to work collaboratively across departments.
|
Required Experience:
Manager
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Posted on:
18 hours ago
Vacancies:
1 Vacancy
