196 AI Solutions jobs in Bahrain
AI Solutions Architect
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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 to address complex business problems.
- Collaborate with stakeholders to gather requirements, define project scope, and establish technical strategies.
- Develop scalable and robust AI/ML models and algorithms.
- Oversee the implementation and deployment of AI solutions into production environments.
- Work closely with data scientists and engineers to optimize model performance and integration.
- Evaluate and recommend appropriate AI technologies, tools, and platforms.
- Ensure the ethical and responsible development and deployment of AI systems.
- Provide technical leadership and guidance on AI best practices.
- Stay current with the latest advancements in AI, machine learning, and data science.
- Communicate technical concepts effectively to both technical and non-technical audiences.
- Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Minimum of 7 years of experience in AI/ML, with at least 3 years in a solutions architect or similar role.
- Proven experience in designing and implementing scalable AI/ML solutions.
- Strong knowledge of machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch), and statistical modeling.
- Proficiency with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Experience with MLOps practices for model deployment and management.
- Excellent programming skills (e.g., Python, R).
- Strong analytical and problem-solving abilities.
- Exceptional communication and presentation skills.
- Ability to work collaboratively in a fast-paced, agile environment.
AI Solutions Lead
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- Lead the design, development, and deployment of AI and machine learning models and solutions.
- Identify business problems that can be solved using AI and machine learning techniques.
- Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to gather requirements and deliver AI-powered solutions.
- Develop and maintain AI infrastructure, including data pipelines, training environments, and deployment frameworks.
- Evaluate and integrate new AI technologies and methodologies into the company's offerings.
- Mentor and guide junior AI engineers and data scientists, fostering a culture of innovation and technical excellence.
- Stay current with the latest advancements in AI, machine learning, deep learning, and related fields.
- Communicate complex technical concepts and results to both technical and non-technical audiences.
- Ensure the ethical development and deployment of AI solutions, adhering to best practices and regulations.
- Manage AI project timelines, resources, and deliverables.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 7 years of experience in AI and machine learning, with at least 3 years in a leadership or team lead role.
- Proven experience in developing and deploying production-ready AI/ML models.
- Expertise in programming languages such as Python and libraries like TensorFlow, PyTorch, scikit-learn.
- Strong understanding of various machine learning algorithms, deep learning architectures, and data mining techniques.
- Experience with cloud AI platforms (e.g., AWS SageMaker, Azure ML, Google AI Platform).
- Excellent problem-solving, analytical, and communication skills.
- Ability to lead and inspire a team of highly skilled professionals.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
AI Solutions Architect
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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 that address specific business challenges and opportunities.
- Collaborate with stakeholders, including business analysts, data scientists, and software engineers, to gather requirements and define project scope.
- Evaluate and select appropriate AI/ML algorithms, tools, and technologies for various applications.
- Develop comprehensive technical roadmaps and implementation plans for AI initiatives.
- Oversee the development and deployment of AI models, ensuring their performance, scalability, and maintainability.
- Leverage cloud platforms (e.g., AWS, Azure, GCP) for AI/ML model training, deployment, and management.
- Provide technical leadership and guidance to data science and engineering teams.
- Ensure the ethical and responsible use of AI technologies, adhering to data privacy and security best practices.
- Stay informed about the latest advancements in AI, machine learning, deep learning, and related fields.
- Develop and present technical proposals, proof-of-concepts, and solutions to clients and internal teams.
- Troubleshoot and optimize AI systems for performance and efficiency.
- Contribute to the development of intellectual property and best practices within the organization.
- Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field.
- Minimum of 7 years of experience in designing and implementing AI/ML solutions, with a strong portfolio of successful projects.
- Expertise in programming languages such as Python and proficiency with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- In-depth knowledge of various AI and ML techniques, including deep learning, natural language processing, computer vision, and reinforcement learning.
- Experience with cloud computing platforms and their AI/ML services.
- Strong understanding of data architecture, data pipelines, and big data technologies.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Exceptional communication, presentation, and stakeholder management skills.
- Ability to translate complex technical concepts into business value.
- Experience with MLOps principles and practices is a plus.
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AI Solutions Architect
Posted today
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AI Solutions Architect
Posted today
Job Viewed
Job Description
AI Solutions Architect
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Architect and design end-to-end AI/ML solutions, including data pipelines, model development, deployment, and monitoring.
- Evaluate and select appropriate AI/ML algorithms, tools, and platforms based on project requirements.
- Collaborate with data scientists, engineers, and business stakeholders to understand requirements and translate them into technical solutions.
- Develop proof-of-concepts (PoCs) and prototypes to demonstrate the feasibility and potential of AI/ML solutions.
- Oversee the implementation and integration of AI/ML models into production environments.
- Ensure the scalability, reliability, and security of AI solutions.
- Provide technical leadership and guidance on AI/ML best practices.
- Stay abreast of the latest research, trends, and advancements in AI, machine learning, deep learning, and related fields.
- Document architectural designs, technical specifications, and implementation details.
- Communicate complex technical concepts clearly to both technical and non-technical audiences.
- Contribute to the development of the company's AI strategy and roadmap.
- 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 engineering or data science, with at least 4 years focused on AI/ML solution architecture and implementation.
- Proven experience designing and deploying ML models in production environments using cloud platforms (AWS, Azure, GCP).
- Expertise in programming languages such as Python, R, and familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn).
- Strong understanding of various ML techniques, including supervised learning, unsupervised learning, deep learning, NLP, and computer vision.
- Experience with big data technologies (e.g., Spark, Hadoop) and MLOps practices.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication, presentation, and stakeholder management skills.
- Ability to work independently and collaboratively in a fast-paced environment.