AI Architect
Deepsource Technologies
Employer Active
Posted 2 hrs ago
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Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
Lead the design and architecture of AI solutions, ensuring scalability, reliability, and performance.
- Collaborate with data scientists and engineers to build AI models and integrate them into production systems.
- Evaluate and recommend AI tools, frameworks, and platforms suitable for the project.
- Develop architectural blueprints and documentation to guide development and deployment.
- Ensure AI solutions comply with security policies and data privacy regulations.
- Manage technical risks and provide solutions to complex AI challenges during the project lifecycle.
- Engage with stakeholders to align AI architecture with business goals and project timelines.
Desired Candidate Profile
Minimum of 5 years experience in AI architecture, machine learning model development, and deployment.
- Proficiency with AI frameworks such as TensorFlow, PyTorch, or similar.
- Strong understanding of cloud platforms, preferably AWS, Azure, or GCP.
- Experience in designing scalable AI systems and data pipelines.
- Knowledge of data security, privacy standards, and ethical AI practices.
- Excellent problem-solving skills and the ability to work in a fast-paced, project-based environment.
- Strong communication skills for effective collaboration with technical and non-technical stakeholders.
- Willingness to work onsite in Manama, Bahrain for the duration of the project.
Company Industry
- IT - Software Services
Department / Functional Area
- IT Software
Keywords
- AI Architect
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Deepsource Technologies
DeepSource Technologies is seeking an experienced AI Architect for a 3-month project based in Manama, Bahrain. The AI Architect will be responsible for designing, developing, and deploying artificial intelligence solutions that align with business objectives and drive innovation. This role involves collaborating closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to translate complex requirements into scalable AI architectures./p>