943 AI Architect jobs in Bahrain
Lead AI Architect, Machine Learning
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AI Solutions Architect - Deep Learning
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AI Solutions Architect
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- Design and architect end-to-end AI/ML solutions for various business needs.
- Translate business requirements into technical designs and implementation plans.
- Select appropriate AI/ML algorithms, frameworks, and tools.
- Define data strategies, including data ingestion, processing, and storage.
- Oversee the development and deployment of AI models and applications.
- Collaborate with data scientists and engineers to build and integrate AI solutions.
- Provide technical leadership and guidance on AI best practices.
- Evaluate and recommend emerging AI technologies and platforms.
- Ensure the scalability, reliability, and performance of AI systems.
- Communicate technical concepts and solutions to stakeholders at all levels.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field.
- 7+ years of experience in AI/ML, with at least 3 years in a solutions architect or similar technical leadership role.
- Proven experience designing and implementing complex AI/ML systems.
- Strong knowledge of AI/ML algorithms, techniques, and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Expertise in cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Experience with big data technologies (e.g., Spark, Hadoop).
- Familiarity with MLOps principles and practices.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication, presentation, and interpersonal skills.
- Ability to work effectively in a hybrid work environment.
- Experience in (mention a relevant industry, e.g., finance, healthcare, retail) is a plus.
AI Solutions Architect
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AI Solutions Architect
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AI Solutions Architect
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Key Responsibilities:
- Design and architect end-to-end AI/ML solutions, including data pipelines, model training, deployment, and monitoring.
- Evaluate and select appropriate AI technologies, frameworks, and tools for various projects.
- Collaborate with data scientists, engineers, and business stakeholders to define project scope, objectives, and deliverables.
- Develop proof-of-concepts (PoCs) and build prototypes to demonstrate the feasibility of AI solutions.
- Create detailed technical designs, architecture diagrams, and documentation for AI systems.
- Oversee the implementation and integration of AI solutions into existing business processes and platforms.
- Ensure AI solutions are scalable, secure, robust, and performant.
- Provide technical leadership and guidance to development teams throughout the project lifecycle.
- Stay current with the latest advancements in AI, machine learning, deep learning, and related fields.
- Present technical strategies and solutions to both technical and non-technical audiences, including senior management.
- Identify opportunities to apply AI to improve business operations, customer experience, and product development.
- Contribute to the development of the company's AI strategy and roadmap.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field.
- Minimum of 8 years of experience in software architecture, with at least 4 years focused on AI/ML solutions.
- Proven experience in designing and deploying large-scale AI/ML systems in production environments.
- Expertise in cloud platforms such as AWS, Azure, or Google Cloud, and their AI/ML services.
- Strong programming skills in Python and familiarity with AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Deep understanding of various ML algorithms, NLP, computer vision, and deep learning techniques.
- Experience with MLOps principles and tools for model lifecycle management.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to articulate complex technical concepts clearly.
- Experience leading technical teams and mentoring junior engineers.
AI Solutions Architect
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Responsibilities:
- Design and architect end-to-end AI solutions, including data pipelines, model training, and deployment strategies.
- Collaborate with clients to define AI project requirements, scope, and objectives.
- Select appropriate AI/ML algorithms, tools, and frameworks for specific business problems.
- Develop proof-of-concepts (POCs) and prototypes to demonstrate the feasibility of AI solutions.
- Oversee the implementation and integration of AI models into existing systems and workflows.
- Provide technical leadership and guidance to data scientists and engineering teams.
- Evaluate and recommend new AI technologies and methodologies.
- Ensure the scalability, reliability, and performance of AI solutions.
- Communicate complex technical concepts to both technical and non-technical stakeholders.
- Stay abreast of the latest advancements in AI, machine learning, deep learning, and related fields.
- Contribute to the development of intellectual property and thought leadership in AI.
- Manage project timelines, resources, and client expectations effectively.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of experience in AI/ML development and deployment.
- Proven experience in designing and implementing scalable AI solutions.
- Expertise in programming languages commonly used in AI (e.g., Python, R).
- In-depth knowledge of ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Familiarity with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Strong understanding of data engineering principles and big data technologies.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Exceptional communication and presentation skills, with the ability to articulate technical concepts to diverse audiences.
- Experience with MLOps principles and practices is a plus.
- Ability to work effectively in a hybrid work environment, balancing remote and in-office collaboration.
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AI Solutions Architect
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AI Solutions Architect
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Responsibilities:
- Collaborate with stakeholders to understand business requirements and translate them into scalable AI/ML solutions.
- Design end-to-end AI architectures, including data pipelines, model training frameworks, deployment strategies, and monitoring systems.
- Evaluate and select appropriate AI/ML algorithms, tools, and platforms for various applications.
- Develop proof-of-concepts and prototypes to demonstrate the feasibility and value of proposed AI solutions.
- Oversee the implementation and integration of AI models into existing systems and workflows.
- Ensure the ethical and responsible development and deployment of AI technologies.
- Stay current with the latest advancements in AI, machine learning, deep learning, and data science.
- Provide technical leadership and mentorship to data scientists and engineers.
- Communicate complex technical concepts effectively to both technical and non-technical audiences.
Qualifications:
- Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related field.
- 5+ years of experience in AI/ML development and deployment.
- Strong programming skills in Python, Java, or Scala.
- Deep understanding of machine learning frameworks such as TensorFlow, PyTorch, scikit-learn.
- Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Knowledge of data engineering principles and big data technologies (Spark, Hadoop).
- Excellent analytical, problem-solving, and critical-thinking skills.
- Proven ability to design and architect complex AI systems.
- Strong communication and collaboration skills, adaptable to hybrid work environments.
This role is ideal for a visionary technologist eager to make a significant impact in the rapidly evolving field of artificial intelligence. Our client offers a stimulating work environment with opportunities for professional growth and development.
AI Solutions Architect
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Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 5 years of experience in AI/ML development and solutions architecture.
- Proven experience in designing and deploying AI/ML models at scale.
- Strong knowledge of programming languages (Python, R) and AI frameworks (TensorFlow, PyTorch).
- Experience with cloud platforms and big data technologies.
- Excellent analytical, problem-solving, and communication skills.
- Ability to lead technical teams and mentor junior engineers.