What Jobs are available for AI Solutions in Bahrain?
Showing 1119 AI Solutions jobs in Bahrain
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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AI Solutions Architect
Posted 1 day ago
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Job Description
Responsibilities:
- Design and architect end-to-end AI and machine learning solutions.
- Develop roadmaps and strategies for AI implementation across various business units.
- Evaluate and select appropriate AI tools, platforms, and technologies.
- Collaborate with data scientists and engineers to build and deploy ML models.
- Ensure scalability, performance, and security of AI solutions.
- Translate business requirements into technical specifications for AI systems.
- Provide technical leadership and guidance on AI best practices.
- Integrate AI solutions with existing IT infrastructure and applications.
- Conduct proof-of-concepts and develop prototypes for new AI capabilities.
- Stay current with the latest advancements in AI, machine learning, and data science.
- Develop and maintain documentation for AI architectures and solutions.
- Mentor junior team members and contribute to knowledge sharing.
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 solutions architecture.
- Proven experience designing and deploying scalable AI/ML solutions in production environments.
- Expertise in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and NLP.
- Strong proficiency in cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Experience with data engineering, data pipelines, and big data technologies.
- Proficiency in programming languages such as Python, Java, or Scala.
- Excellent understanding of software architecture principles and design patterns.
- Strong analytical, problem-solving, and critical thinking skills.
- Effective communication and presentation skills, with the ability to articulate complex technical concepts.
- Experience working in a hybrid or collaborative team environment.
- Familiarity with MLOps principles and practices is a plus.
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AI Solutions Architect
Posted 3 days ago
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Job Description
As an AI Solutions Architect, you will translate business requirements into scalable, robust, and cost-effective AI systems. You will work with clients and internal teams to define AI strategies, select appropriate technologies, and oversee the development and deployment of AI models and platforms. Your expertise will span machine learning, deep learning, natural language processing, computer vision, and data engineering.
Responsibilities:
- Design end-to-end AI solutions, from conceptualization to deployment, considering scalability, performance, and security.
- Collaborate with business stakeholders to understand their needs and identify opportunities for AI-driven solutions.
- Select appropriate AI/ML algorithms, frameworks, and tools for specific use cases.
- Define data requirements, data pipelines, and data governance strategies for AI projects.
- Oversee the development and training of machine learning models.
- Ensure the successful integration of AI solutions with existing systems and infrastructure.
- Provide technical leadership and guidance to data scientists, ML engineers, and software developers.
- Evaluate and recommend emerging AI technologies and platforms.
- Develop proof-of-concepts (PoCs) and prototypes to demonstrate the value of AI solutions.
- Create detailed technical documentation, including architecture diagrams, design specifications, and deployment guides.
- Stay abreast of the latest research and advancements in artificial intelligence and machine learning.
- Present AI strategies and solutions to technical and non-technical audiences.
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 designing and implementing AI/ML solutions.
- Proven experience with various AI technologies, including deep learning frameworks (TensorFlow, PyTorch), NLP, and computer vision.
- Strong understanding of cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Experience with big data technologies (Spark, Hadoop) and data engineering principles.
- Excellent architectural design skills and a strong grasp of software engineering best practices.
- Proficiency in programming languages such as Python, Java, or Scala.
- Strong communication, presentation, and stakeholder management skills.
- Ability to lead and inspire technical teams.
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AI Solutions Architect
Posted 3 days ago
Job Viewed
Job Description
Responsibilities:
- Translate business needs into technical requirements for AI and machine learning solutions.
- Design comprehensive AI architectures, including data pipelines, model deployment strategies, and integration with existing systems.
- Evaluate and select appropriate AI/ML frameworks, tools, and platforms.
- Lead the technical design and development of AI models and algorithms.
- Oversee the implementation and deployment of AI solutions, ensuring performance, scalability, and reliability.
- Collaborate with data engineering teams to ensure data quality and accessibility for AI models.
- Provide technical guidance and mentorship to development teams.
- Stay current with advancements in AI, machine learning, deep learning, and related fields.
- Communicate complex technical concepts to both technical and non-technical audiences.
- Contribute to the company's AI strategy and roadmap.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of experience in designing and implementing AI/ML solutions.
- Deep understanding of machine learning algorithms, statistical modeling, and data mining techniques.
- Proficiency in programming languages such as Python and experience with AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Strong understanding of data architecture, data governance, and MLOps principles.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities, comfortable working in a hybrid model.
- Experience with emerging technologies such as NLP, computer vision, or reinforcement learning is a plus.
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AI Solutions Architect
Posted 3 days ago
Job Viewed
Job Description
Responsibilities:
- Design end-to-end AI and Machine Learning solutions.
- Evaluate and recommend AI/ML technologies and platforms.
- Architect robust and scalable data pipelines for AI model training and deployment.
- Collaborate with data scientists to develop and optimize ML models.
- Ensure seamless integration of AI solutions with existing business systems.
- Provide technical leadership and guidance to development teams.
- Translate complex business requirements into actionable AI strategies.
- Stay abreast of the latest advancements in AI, ML, and data science.
- Develop proof-of-concepts and prototypes for new AI initiatives.
- Ensure the security, privacy, and ethical considerations of AI solutions.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- Proven experience as an AI/ML Engineer or Solutions Architect.
- In-depth knowledge of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and statistical modeling.
- Expertise in cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with big data technologies (e.g., Spark, Hadoop).
- Strong understanding of software architecture and design patterns.
- Excellent analytical, problem-solving, and communication skills.
- Ability to articulate complex technical concepts to both technical and non-technical audiences.
- Experience in MLOps and model deployment strategies.
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AI Solutions Architect
Posted 3 days ago
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AI Solutions Architect
Posted 3 days ago
Job Viewed
Job Description
Key Responsibilities:
- Design and architect end-to-end AI solutions, from data ingestion and processing to model deployment and monitoring.
- Collaborate with data scientists, engineers, and product managers to define AI strategies and roadmaps.
- Evaluate and select appropriate AI/ML frameworks, tools, and platforms.
- Develop proofs-of-concept and prototypes to demonstrate the viability of proposed AI solutions.
- Ensure the scalability, reliability, and performance of AI systems.
- Provide technical leadership and guidance to development teams.
- Stay abreast of the latest advancements in AI and machine learning research and industry best practices.
- Document architectural designs, technical specifications, and deployment procedures.
- Communicate technical concepts and solutions effectively to both technical and non-technical stakeholders.
- Contribute to the continuous improvement of AI development processes and standards.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Proven experience in designing and implementing AI/ML solutions in production environments.
- Deep understanding of machine learning algorithms, deep learning architectures, and NLP techniques.
- Proficiency in programming languages such as Python, R, or Java.
- Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Familiarity with big data technologies (e.g., Spark, Hadoop).
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration abilities.
- Experience with MLOps principles and tools is a plus.
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AI Solutions Architect
Posted 4 days ago
Job Viewed
Job Description
Key responsibilities include evaluating and recommending appropriate AI/ML technologies, platforms, and frameworks. You will lead the design of AI models, data pipelines, and integration strategies, ensuring robustness, performance, and security. Collaborating closely with data scientists, engineers, and business stakeholders to define project requirements, develop proof-of-concepts, and guide implementation efforts is essential. You will also be responsible for technical documentation, presentations, and knowledge sharing within the organization. The ideal candidate will possess a Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field, with extensive experience in designing and implementing AI/ML solutions. Strong knowledge of various AI techniques (e.g., deep learning, natural language processing, computer vision), machine learning algorithms, and cloud platforms (AWS, Azure, GCP) is required. Proficiency in programming languages such as Python and experience with relevant libraries (TensorFlow, PyTorch, Scikit-learn) are crucial. Excellent analytical, problem-solving, and communication skills are paramount. Experience in a client-facing role and the ability to articulate complex technical concepts to non-technical audiences are highly desirable. This is a unique opportunity to work at the forefront of AI innovation and shape the future of technology for leading organizations.
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AI Solutions Architect
Posted 4 days ago
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Job Description
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