54 Systems Architect jobs in Bahrain
AI Systems Architect
Posted today
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Responsibilities:
- Design and architect scalable and robust AI systems.
- Select appropriate AI technologies and frameworks.
- Oversee the implementation and deployment of AI solutions.
- Ensure data quality, security, and integrity in AI pipelines.
- Optimize AI system performance and efficiency.
- Collaborate with data scientists and engineers to build ML models.
- Evaluate and integrate emerging AI technologies.
- Develop MLOps strategies for efficient model lifecycle management.
- Provide technical leadership and guidance to AI teams.
- Communicate technical strategies to stakeholders.
Qualifications:
- Master's or Ph.D. in Computer Science, AI, or a related field.
- 7-10 years of experience in AI systems architecture and design.
- Expertise in cloud platforms (AWS, Azure, GCP) and AI services.
- Proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch).
- Strong knowledge of machine learning, deep learning, NLP, and computer vision.
- Experience with distributed computing and MLOps.
- Excellent problem-solving and analytical skills.
- Strong leadership and communication abilities.
- Ability to work effectively in a remote and collaborative environment.
AI Systems Architect
Posted today
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Responsibilities:
- Design and architect scalable, robust, and efficient AI/ML systems and solutions.
- Define the technical roadmap for AI initiatives, aligning with business objectives.
- Select appropriate AI algorithms, tools, and platforms for various use cases.
- Oversee the development lifecycle of AI models, from data preparation to deployment and monitoring.
- Ensure the seamless integration of AI systems with existing enterprise infrastructure.
- Evaluate and recommend emerging AI technologies and best practices.
- Lead and mentor a team of AI engineers and data scientists.
- Collaborate with stakeholders across departments to identify AI opportunities and requirements.
- Ensure the security, privacy, and ethical considerations of AI systems.
- Develop strategies for model performance monitoring and continuous improvement.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 8 years of experience in software development or engineering, with at least 4 years focused on AI/ML system design and architecture.
- Proven experience in designing and deploying complex AI solutions using frameworks like TensorFlow, PyTorch, or scikit-learn.
- Expertise in cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Strong understanding of machine learning concepts, algorithms, and best practices.
- Experience with big data technologies (e.g., Spark, Hadoop) and data engineering pipelines.
- Excellent leadership, communication, and problem-solving skills.
- Ability to articulate technical concepts to both technical and non-technical audiences.
Senior AI Systems Architect
Posted today
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Responsibilities:
- Design and architect end-to-end AI/ML systems and platforms.
- Select appropriate AI models, algorithms, and technologies for specific use cases.
- Define infrastructure requirements for AI development, deployment, and scaling.
- Ensure the performance, security, and reliability of AI systems.
- Collaborate with data science and engineering teams to implement AI solutions.
- Evaluate and integrate emerging AI technologies and tools.
- Develop and document AI system architectures and best practices.
- Provide technical leadership and guidance on AI initiatives.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
- Minimum of 8 years of experience in software architecture, with a significant focus on AI/ML systems.
- Proven experience in designing and deploying scalable AI/ML solutions in cloud environments (AWS, Azure, GCP).
- In-depth knowledge of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and MLOps principles.
- Strong understanding of data engineering, data pipelines, and big data technologies.
- Excellent analytical, problem-solving, and communication skills.
Senior AI Systems Architect
Posted today
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Responsibilities:
- Design and architect scalable, robust, and efficient AI systems and platforms.
- Define AI strategy, roadmap, and technical specifications for new initiatives.
- Select appropriate AI frameworks, libraries, and tools for development.
- Guide the development and implementation of machine learning and deep learning models.
- Ensure seamless integration of AI systems with existing infrastructure and applications.
- Evaluate and recommend emerging AI technologies and methodologies.
- Collaborate with data scientists and software engineers throughout the development lifecycle.
- Perform system analysis, performance tuning, and optimization of AI models.
- Develop best practices for AI development, deployment, and MLOps.
- Stay current with advancements in AI, machine learning, and related fields.
Qualifications:
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 7 years of experience in AI/ML system design and architecture.
- Proven experience in developing and deploying production-level AI/ML solutions.
- Expertise in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and AI tooling.
- Strong understanding of cloud platforms (AWS, Azure, GCP) and their AI services.
- Experience with big data technologies and distributed computing.
- Proficiency in programming languages such as Python, Java, or C++.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration abilities.
Lead Building Systems Architect
Posted 1 day ago
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Remote Aviation Systems Architect
Posted 1 day ago
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Senior Building Systems Architect
Posted 2 days ago
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Senior Telecommunications Systems Architect
Posted 3 days ago
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Remote Electrical Systems Architect
Posted 3 days ago
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Senior Electrical Systems Architect
Posted 4 days ago
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Key Responsibilities:
- Define and document high-level and detailed electrical system architectures.
- Select appropriate components (microcontrollers, sensors, power management ICs, communication interfaces) based on system requirements.
- Develop schematics and guide PCB layout engineers to ensure signal integrity and optimal performance.
- Design and analyze power distribution networks and management systems.
- Perform worst-case analysis and simulations to validate electrical designs under various operating conditions.
- Collaborate with hardware, firmware, and software teams to ensure seamless system integration.
- Develop and oversee electrical testing and validation strategies.
- Troubleshoot complex electrical issues during development and production phases.
- Stay current with emerging electrical engineering technologies and industry standards.
- Mentor junior electrical engineers and provide technical guidance.
- Create and maintain comprehensive technical documentation, including design specifications, test plans, and user manuals.
- Participate in design reviews and contribute to cross-functional team discussions.
- Ensure adherence to safety regulations and product compliance standards.
- Propose innovative solutions to electrical design challenges and drive technological advancements.