What Jobs are available for AI Architect in Bahrain?
Showing 1217 AI Architect jobs in Bahrain
Lead AI Architect
Posted 11 days ago
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Job Description
As a Lead AI Architect, you will leverage your expertise in machine learning, deep learning, natural language processing, and computer vision to build state-of-the-art models and platforms. You will guide a team of talented engineers and data scientists, fostering an environment of innovation and technical excellence. This role requires a deep theoretical understanding coupled with practical experience in deploying AI solutions in real-world scenarios. The ability to communicate complex technical concepts to both technical and non-technical stakeholders is essential for this position, as the entire team operates remotely and relies on clear, concise communication.
Key Responsibilities:
- Design and architect end-to-end AI/ML systems, including data pipelines, model training, deployment, and monitoring.
- Lead the research and development of novel AI algorithms and models for various applications.
- Define technical standards, best practices, and architectural patterns for AI development.
- Collaborate closely with product managers, engineers, and data scientists to translate business requirements into technical solutions.
- Evaluate and select appropriate AI tools, technologies, and frameworks.
- Mentor and guide junior AI engineers and data scientists, providing technical leadership and support.
- Ensure the scalability, reliability, and performance of AI solutions.
- Stay updated with the latest advancements in AI and machine learning research and industry trends.
- Contribute to the development of intellectual property and white papers.
- Champion the adoption of AI technologies across the organization through presentations and internal knowledge sharing.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 10+ years of experience in AI/ML development, with at least 3 years in a lead or architectural role.
- Proven experience designing and deploying complex AI/ML models in production environments (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of various ML algorithms, deep learning architectures (CNNs, RNNs, Transformers), and NLP techniques.
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Excellent understanding of software engineering principles, including MLOps, CI/CD, and containerization (Docker, Kubernetes).
- Strong problem-solving skills and the ability to work independently in a remote setting.
- Exceptional communication and leadership skills, with the ability to influence technical decisions.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
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AI Solutions Architect - Machine Learning
Posted 2 days ago
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AI Solutions Architect - Machine Learning
Posted 2 days ago
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AI Solutions Architect - Machine Learning
Posted 14 days ago
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Job Description
Responsibilities:
- Design and architect end-to-end machine learning solutions for diverse business needs.
- Collaborate with stakeholders to gather requirements, define project scope, and establish success criteria.
- Select appropriate ML algorithms, frameworks, and tools for specific use cases.
- Develop and optimize data pipelines for efficient data ingestion, transformation, and feature engineering.
- Oversee the training, validation, and tuning of machine learning models.
- Design and implement robust model deployment strategies, ensuring scalability and performance.
- Establish and maintain MLOps practices for continuous integration, delivery, and monitoring of AI models.
- Evaluate and recommend cloud platforms (AWS, Azure, GCP) and AI services.
- Provide technical leadership and guidance to data scientists and engineers.
- Stay abreast of the latest advancements in AI, machine learning, and deep learning research.
- Document architectural designs, technical specifications, and best practices.
- Present AI solutions and technical strategies to clients and internal leadership.
- Troubleshoot and resolve issues related to AI model performance and infrastructure.
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 roles, with a significant portion focused on architectural design.
- Proven experience designing and implementing machine learning solutions in production environments.
- In-depth knowledge of various ML algorithms (e.g., supervised, unsupervised, deep learning) and their applications.
- Expertise in cloud platforms such as AWS (SageMaker), Azure ML, or Google AI Platform.
- Strong programming skills in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Solid understanding of MLOps principles and tools.
- Excellent problem-solving, analytical, and communication skills.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Ability to work effectively in a hybrid environment, balancing remote work with on-site collaboration.
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AI Solutions Architect - Machine Learning
Posted 21 days ago
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Job Description
Responsibilities:
- Design and architect end-to-end AI/ML solutions for various business challenges.
- Collaborate with clients to understand their needs and translate them into technical requirements.
- Select appropriate machine learning algorithms, frameworks, and cloud services.
- Develop proof-of-concepts (POCs) and prototypes to validate solutions.
- Guide and mentor development teams throughout the implementation and deployment phases.
- Ensure the scalability, performance, and reliability of AI/ML systems.
- Stay abreast of the latest advancements in AI, machine learning, and data science.
- Develop MLOps strategies for seamless model deployment, monitoring, and management.
- Present technical solutions and insights to stakeholders at all levels.
- Master's or Ph.D. in Computer Science, AI, Data Science, or a related field strongly preferred.
- Minimum 6 years of experience in AI/ML development and solution architecture.
- Extensive knowledge of machine learning algorithms, statistical modeling, and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Proficiency with cloud platforms such as AWS, Azure, or GCP.
- Experience with big data technologies (e.g., Spark, Hadoop) and data pipelines.
- Strong understanding of MLOps principles and practices.
- Excellent analytical, problem-solving, and communication skills.
- Ability to effectively communicate complex technical concepts to diverse audiences.
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AI Solutions Architect - Machine Learning
Posted 22 days ago
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AI Solutions Architect - Machine Learning
Posted 24 days ago
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Job Description
Responsibilities:
- Design and architect end-to-end AI and machine learning solutions for various business applications.
- Collaborate with data scientists, engineers, and product managers to define technical requirements and project roadmaps.
- Evaluate and recommend appropriate ML algorithms, frameworks, and tools for specific use cases.
- Develop prototypes and proof-of-concepts for novel AI applications.
- Oversee the deployment and integration of ML models into production environments.
- Optimize AI systems for performance, scalability, and cost-effectiveness.
- Provide technical leadership and guidance to development teams.
- Stay abreast of the latest advancements in AI, machine learning, and deep learning research.
- Communicate complex technical concepts and solutions to both technical and non-technical stakeholders.
- Contribute to the development of best practices and standards for AI/ML development within the organization.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 6 years of experience in AI/ML development and solutions architecture.
- Strong proficiency in programming languages such as Python, Java, or Scala.
- Extensive experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and cloud platforms (AWS, Azure, GCP).
- Deep understanding of various ML algorithms (e.g., supervised, unsupervised, deep learning) and their applications.
- Experience with data engineering, data pipelines, and MLOps is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Outstanding communication and presentation skills, with the ability to articulate complex technical concepts effectively.
- Proven ability to work effectively in a fully remote, collaborative team environment.
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AI Solutions Architect - Machine Learning
Posted 25 days ago
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Job Description
Responsibilities:
- Architect, design, and deploy end-to-end machine learning solutions, including data pipelines, model training, evaluation, and deployment strategies.
- Evaluate and select appropriate ML algorithms, tools, and frameworks for various business problems.
- Collaborate with data scientists and engineers to translate business requirements into technical specifications and actionable plans.
- Design scalable and robust AI/ML infrastructures on cloud platforms (AWS, Azure, GCP).
- Develop and maintain MLOps best practices for model lifecycle management, monitoring, and continuous integration/delivery.
- Provide technical leadership and guidance on AI/ML best practices, emerging technologies, and industry trends.
- Conduct feasibility studies and proof-of-concepts for new AI applications.
- Ensure the security, privacy, and ethical considerations of AI solutions are addressed.
- Communicate complex technical concepts and solutions to both technical and non-technical stakeholders.
- Contribute to the company's AI strategy and roadmap development.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
- 7+ years of experience in AI/ML development and architecture, with a strong focus on practical implementation and deployment.
- Proven experience designing and building scalable ML models and systems.
- Deep understanding of various ML algorithms (supervised, unsupervised, deep learning) and their applications.
- Proficiency with ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn.
- Hands-on experience with cloud AI/ML services (e.g., SageMaker, Azure ML, Google AI Platform).
- Experience with MLOps tools and principles (e.g., Docker, Kubernetes, CI/CD pipelines).
- Strong programming skills in Python and experience with data manipulation libraries (Pandas, NumPy).
- Excellent analytical, problem-solving, and communication skills.
- Ability to lead technical discussions and influence architectural decisions in a remote setting.
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AI Solutions Architect
Posted today
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Job Description
Key Responsibilities:
- Design and architect end-to-end AI/ML solutions tailored to client needs, from data ingestion to model deployment and monitoring.
- Evaluate and select appropriate AI technologies, frameworks, and platforms (e.g., TensorFlow, PyTorch, Azure ML, AWS SageMaker).
- Develop strategies for data preparation, feature engineering, and model training.
- Oversee the deployment of AI models into production environments, ensuring scalability, reliability, and performance.
- Collaborate closely with data scientists, engineers, and product managers to translate business requirements into technical solutions.
- Provide technical leadership and guidance on AI best practices, ethical considerations, and emerging trends.
- Develop proof-of-concepts and prototypes to demonstrate the value of AI solutions.
- Create comprehensive architectural documentation, including system diagrams and technical specifications.
- Stay abreast of the latest research and advancements in AI, machine learning, and deep learning.
- Contribute to the continuous improvement of our client's AI capabilities and offerings.
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 designing and implementing AI/ML solutions, with at least 3 years in an architectural role.
- Deep expertise in various ML algorithms (e.g., supervised, unsupervised, reinforcement learning) and their practical applications.
- Hands-on experience with cloud AI/ML platforms (AWS, Azure, GCP) and associated services.
- Proficiency in programming languages such as Python, and familiarity with libraries like Scikit-learn, Keras, or similar.
- Strong understanding of MLOps principles and practices for model lifecycle management.
- Excellent problem-solving, strategic thinking, and communication skills.
- Ability to articulate complex technical concepts to both technical and non-technical stakeholders.
- Experience with large-scale data processing and big data technologies is a plus.
- Demonstrated ability to lead and influence technical teams in a remote setting.
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AI Solutions Architect
Posted 1 day ago
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