670 AI & Emerging Technologies jobs in Bahrain

Job Category: AI Archecture

Job Type: Full Time

Job Location: Bahrain

We are seeking an AI Designer specialized in Generative Architecture to lead the transformation of verbal and conceptual inputs into detailed architectural solutions. This role blends deep architectural understanding with state-of-the-art AI, ML, and computational design tools. You will be responsible for creating automated workflows that interpret verbal briefs and translate them into intelligent 3D spatial configurations optimized for marine environments.

Key Responsibilities

• Develop end-to-end AI-assisted design systems that convert verbal concepts into architectural layouts and 3D models
• Fine-tune and deploy large language models (LLMs) to interpret design intents and spatial narratives
• Use generative design platforms and reinforcement learning to propose optimized spatial solutions based on site constraints, climate, and user needs
• Integrate AI outputs with BIM/CAD tools such as Revit, Rhino, or AutoCAD for seamless design iteration
• Build intelligent scripts and algorithms to simulate material behavior, circulation flows, daylighting, and sustainability metrics
• Collaborate with architects and naval engineers to validate AI-generated proposals and integrate with real-world constraints
• Train and refine AI/ML models using in-house data from past projects to enhance design relevance
• Explore new frontiers of voice-driven and sketch-to-design workflows using multimodal AI systems (text+image+geometry)
• Stay updated on AI breakthroughs in architecture and implement experimental workflows to maintain V-Marine’s innovation edge
  
  

• Master’s degree in Architecture, Computational Design, Artificial Intelligence, or a related field
• Proven experience in AI-aided architectural workflows or research (e.g., text-to-design, design optimization, LLMs in design)
• Strong command of tools such as:
• Midjourney, DALL·E, RunwayML (for conceptual visualizations)
• Spacemaker AI, Autodesk Generative Design, Hypar, Finch 3D
• Rhino + Grasshopper, Revit + Dynamo, Unity/Unreal for architectural visualization
• Python, TensorFlow, HuggingFace Transformers, or OpenAI APIs for developing or integrating LLMs
• Familiarity with vector databases, embeddings, and prompt engineering for design interpretation
• Strong portfolio demonstrating AI-driven, generative, or computational architectural projects
• Knowledge of marine design or modular construction is a plus
• Excellent skills in abstract thinking, algorithmic logic, and design storytelling
  

• Introduce yourself
• Explain how your AI and architectural experience can contribute to V-Marine’s innovation lab
• Share your current salary and expected compensation package
  
  

• Current work status
• Reason for seeking a new opportunity
• Required notice period
• Last salary (attach recent payslip if available)
• Expected compensation
• Portfolio details (especially AI-generated design work, research, or scripts)
  
  

Are you a recent graduate in Computer Science, Software Engineering, or Data Science, ready to turn your passion for AI into real-world impact?

We’re looking for an Associate AI Engineer to join our team at The Family Office (TFO) . This role offers hands-on experience with cutting-edge AI projects, mentorship from experienced engineers, and the opportunity to shape the future of intelligent systems in enterprise environments

At The Family Office, we live and work by our core values:

• Trust
• Transparency
• Honesty
• Commitment

You’ll be part of a forward-thinking, collaborative team solving real business problems using advanced AI tools such as Azure OpenAI, MLOps pipelines, and real-time observability platforms

AI Model Development

• Fine-tune LLMs and build prompt-driven solutions using Azure OpenAI.
• Develop data preprocessing pipelines (cleaning, tokenization, normalization).
• Contribute to Retrieval-Augmented Generation (RAG) and Document Intelligence implementations.

MLOps & Lifecycle Management

• Implement Azure ML Pipelines, MLflow, and DVC for version control and tracking.
• Monitor model performance using Azure Monitor and Application Insights.
• Maintain AI notebooks and experiments through Azure AI Studio (Foundry).

Collaboration & Learning

• Work closely with Senior AI Engineers, Data Scientists, DataOps, and PlatformOps.
• Participate in peer reviews, documentation, and continuous learning.

Quality & Delivery

• Ensure code quality, documentation standards, and timely delivery.
• Contribute to testing, validation, and integration of AI solutions into production.

• Recent graduates in Computer Science, AI, ML, or Data Science.
• Hands-on experience in AI/ML projects.
• Fast learners with a strong desire to grow in a dynamic, supportive environment.
• Bonus: Experience with Azure AI services or certifications like Azure AI Fundamentals.

• Languages : Python, SQL, JSON
• Frameworks : PyTorch, Hugging Face Transformers
• MLOps : Azure ML, Azure AI Studio, MLflow, DVC
• DataOps : Azure Data Factory, Synapse, Data Lake
• Monitoring : Azure Monitor, Application Insights
• AI : Prompt engineering, fine-tuning, OpenAI APIs, Azure OpenAI

This isn’t just a job—it’s your launchpad into the future of enterprise AI. If you're curious, driven, and eager to build real-world solutions with impact, we’d love to hear from you.

Apply today and take the first step toward shaping the future with AI.

Get AI-powered advice on this job and more exclusive features.

Job Title: AI Engineer

Location: Secondment in Bahrain (Hybrid)

Note: Office location in Pakistan (with occasional travel to Bahrain for business meetings and project requirements)

Job Summary

Our client is seeking a highly skilled and innovative AI Engineer to join the growing team. In this role, you will be instrumental in designing, developing, and deploying AI-powered solutions that integrate seamlessly with various APIs .

Job Responsibilities

1. Design, develop, and deploy AI models and intelligent agents (e.g., voice agents, conversational AI, task automation agents) that can understand complex instructions and execute corresponding actions.
2. Integrate AI models and agents with internal and third-party APIs, ensuring robust, scalable, and secure data exchange.
3. Develop and manage data pipelines to ingest, process, and clean data from various sources, including feeds APIs, for training and deployment of AI models.
4. Implement natural language processing (NLP) and speech-to-text/text-to-speech technologies for voice-enabled agents.
5. Work closely with product managers, data scientists, and other engineers to define AI solution requirements and translate them into technical specifications.
6. Optimize AI models for performance, scalability, and efficiency in production environments.
7. Monitor, maintain, and troubleshoot deployed AI systems to ensure continuous operation and high accuracy.
8. Stay up-to-date with the latest advancements in AI, machine learning, and relevant technologies.
9. Document technical designs, development processes, and operational procedures.

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
• 2+ years of professional experience in AI/ML engineering, software development with an AI focus, or a similar role.
• Proficiency in programming languages such as Python (essential), Java, or C++.
• Solid understanding of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and NLP techniques.
• Experience with API design, development, and integration (RESTful APIs, GraphQL).
• Familiarity with data processing and manipulation libraries (e.g., Pandas, NumPy).
• Strong problem-solving skills and the ability to debug complex systems.
• Excellent communication and collaboration skills.

Preferred Qualifications

• Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Proficiency in implementing and utilizing Azure OpenAI APIs.
• Prior experience building and deploying conversational AI or voice agents.
• Knowledge of message queues and streaming data technologies (e.g., Kafka, RabbitMQ).
• Familiarity with MLOps practices for model deployment, monitoring, and lifecycle management.
• Experience with containerization technologies (Docker, Kubernetes).
• Contributions to open-source AI projects or a strong portfolio of personal AI projects.

• Not Applicable

• Full-time

• Engineering and Information Technology

• Information Services

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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

We are seeking an AI Designer specialized in Generative Architecture to lead the transformation of verbal and conceptual inputs into detailed architectural solutions. This role blends deep architectural understanding with state-of-the-art AI, ML, and computational design tools. You will be responsible for creating automated workflows that interpret verbal briefs and translate them into intelligent 3D spatial configurations optimized for marine environments.

• Develop end-to-end AI-assisted design systems that convert verbal concepts into architectural layouts and 3D models
• Fine-tune and deploy large language models (LLMs) to interpret design intents and spatial narratives
• Use generative design platforms and reinforcement learning to propose optimized spatial solutions based on site constraints, climate, and user needs
• Integrate AI outputs with BIM/CAD tools such as Revit, Rhino, or AutoCAD for seamless design iteration
• Build intelligent scripts and algorithms to simulate material behavior, circulation flows, daylighting, and sustainability metrics
• Collaborate with architects and naval engineers to validate AI-generated proposals and integrate with real-world constraints
• Train and refine AI/ML models using in-house data from past projects to enhance design relevance
• Explore new frontiers of voice-driven and sketch-to-design workflows using multimodal AI systems (text+image+geometry)
• Stay updated on AI breakthroughs in architecture and implement experimental workflows to maintain V-Marine’s innovation edge

• Master’s degree in Architecture, Computational Design, Artificial Intelligence, or a related field
• Proven experience in AI-aided architectural workflows or research (e.g., text-to-design, design optimization, LLMs in design)
• Strong command of tools such as:
  • Midjourney, DALL·E, RunwayML (for conceptual visualizations)
  • Spacemaker AI, Autodesk Generative Design, Hypar, Finch 3D
  • Rhino + Grasshopper , Revit + Dynamo , Unity/Unreal for architectural visualization
  • Python , TensorFlow , HuggingFace Transformers , or OpenAI APIs for developing or integrating LLMs
• Familiarity with vector databases, embeddings, and prompt engineering for design interpretation
• Knowledge of marine design or modular construction is a plus
• Excellent skills in abstract thinking, algorithmic logic, and design storytelling

Please upload your CV and portfolio when applying.
After submitting your resume, we kindly request that you record a Video CV , no longer than 2 to 3 minutes, and send it to .

In your Video CV, please:

• Introduce yourself
• Explain how your AI and architectural experience can contribute to V-Marine’s innovation lab
• Share your current salary and expected compensation package

• Reason for seeking a new opportunity
• Required notice period
• Last salary (attach recent payslip if available)
• Expected compensation
• Portfolio details (especially AI-generated design work, research, or scripts)

We’re looking for the minds that will shape the next frontier of architectural intelligence. If you see architecture not just as design, but as data-driven creation—this role is for you.

Upload CV/Resume * Allowed Type(s): .pdf, .doc, .docx

By using this form you agree with the storage and handling of your data by this website. *

Overview

Senior AI & Cloud Systems Developer for our Bahrain operations with the following skillsets & terms and conditions:

Location: Bahrain

• Bachelor's in CS/IT/Engineering
• AWS Certified Solutions Architect & AWS Development expert
• TensorFlow or equivalent AI/ML certification
• Arabic and English speaker
• Years of experience: 8 years

• AI/ML Competencies
• Deep learning, reinforcement learning, and large language models (LLMs). Generative AI (LLMs fine-tuning, RAG pipelines, vector databases such as Pinecone, FAISS, or AWS Kendra).
• Computer Vision (OpenCV, AWS Rekognition)
• Natural Language Processing (Hugging Face Transformers, spaCy)

• Python as a primary language
• Proficiency with TensorFlow, PyTorch, Scikit-learn, Hugging Face
• Strong experience in API-first development (REST, GraphQL, OpenAPI)

• AWS (IAM, VPC, Lambda, CloudWatch, S3, SageMaker, ECS/EKS)
• Familiarity with Azure AI/ML services
• Containerization & orchestration (Docker, Kubernetes)
• Serverless and event-driven architectures (SNS/SQS, Kafka, RabbitMQ)

• Building and maintaining data pipelines and ETL processes
• SQL/NoSQL databases (PostgreSQL, MongoDB)
• Big Data frameworks (Apache Spark, Hadoop, AWS EMR)
• Data governance, quality assurance, and audit readiness

• CI/CD pipelines and versioning (Git, GitHub Actions, Jenkins, AWS Code Pipeline). Automated testing, model deployment, and monitoring.
• ML lifecycle management (ML flow, Kubeflow)

• Cloud security groups, identity and access management, and data encryption. Compliance with Bahrain NCSC/IGA standards, and awareness of ISO standards (ISO 27001, ISO)
• Logging, monitoring, and explain ability of AI models for regulatory audits

• Microservices-based architectures
• Scalable, high-availability, and secure cloud-native systems
• System documentation and knowledge transfer

• Agile/Scrum delivery experience
• Strong documentation, communication, and mentoring skills
• Ability to work collaboratively with internal developers and transfer knowledge effectively

• AI/ML Development & Deployment – Design, develop, and maintain AI-driven systems integrated with cloud platforms
• Build, train, fine-tune, and deploy machine learning and large language models (LLMs) for customs and business use cases
• Ensure robust MLOps practices (model monitoring, retraining, version control)

• Cloud Architecture & System Development – Implement and manage scalable cloud-native architectures (primarily AWS, with exposure to Azure)
• Develop and optimize automated data pipelines ensuring high data quality, governance, and reliability
• Build microservices and APIs for seamless integration with existing systems and third-party applications
• Adhere to Customs, Ministry of Interior, and Government of Bahrain UI/UX standards in application design (layout, accessibility, and navigation)

• Governance, Compliance & Security – Ensure compliance with cybersecurity, data protection, and national standards (IGA, NCSC Bahrain, ISO)
• Apply cloud security best practices including identity management, encryption, and secure APIs
• Prepare systems for audit readiness with proper logging, monitoring, and explain ability of AI models

• Collaboration & Stakeholder Engagement – Work closely with stakeholders to identify AI-driven opportunities and deliver solutions that add measurable business value
• Translate business requirements into technical solutions and prototypes
• Gather and evaluate user feedback to continuously improve systems

• Leadership & Knowledge Sharing – Mentor and guide junior developers in AI, ML, and cloud best practices
• Lead training workshops and knowledge-transfer sessions for new systems and enhancements
• Provide technical documentation, reports, and presentations to management and project committees

• Continuous Improvement & Support – Troubleshoot, debug, and upgrade existing systems and services
• Recommend and execute performance and security improvements
• Stay updated with emerging AI and cloud technologies; adopt best practices in rapid system development
• Demonstrate adaptability by quickly learning and applying new programming languages and frameworks as needed

• Joining time frame: days)
• How to apply: Please send your latest resume at the earliest

Job Description VAM Systems is currently looking for Senior AI & Cloud Systems Developer for our Bahrain operations with the following skillsets & terms and conditions:

Years of experience : 8 Years

• Bachelor's in CS/IT/Engineering
• AWS Certified Solutions Architect & AWS Development expert.
• TensorFlow or equivalent AI/ML certification
• Arabic and English speaker

Expert with AI/ML Competencies

• Deep learning, reinforcement learning, and large language models (LLMs). Generative AI (LLMs fine-tuning, RAG pipelines, vector databases such as Pinecone, FAISS, or AWS Kendra).
• Computer Vision (OpenCV, AWS Rekognition).
• Natural Language Processing (Hugging Face Transformers, spaCy).

• Python as a primary language.
• Proficiency with TensorFlow, PyTorch, Scikit-learn, Hugging Face.
• Strong experience in API-first development (REST, GraphQL, OpenAPI).

• AWS (IAM, VPC, Lambda, CloudWatch, S3, SageMaker, ECS/EKS).
• Familiarity with Azure AI/ML services.
• Containerization & orchestration (Docker, Kubernetes).
• Serverless and event-driven architectures (SNS/SQS, Kafka, RabbitMQ).

• Building and maintaining data pipelines and ETL processes.
• SQL/NoSQL databases (PostgreSQL, MongoDB).
• Big Data frameworks (Apache Spark, Hadoop, AWS EMR).
• Data governance, quality assurance, and audit readiness.

• CI/CD pipelines and versioning (Git, GitHub Actions, Jenkins, AWS Code Pipeline). Automated testing, model deployment, and monitoring.
• ML lifecycle management (ML flow, Kubeflow).

• Cloud security groups, identity and access management, and data encryption. Compliance with Bahrain NCSC/IGA standards, and awareness of ISO standards (ISO
• Logging, monitoring, and explain ability of AI models for regulatory audits.

• Microservices-based architectures.
• Scalable, high-availability, and secure cloud-native systems.
• System documentation and knowledge transfer

• Agile/Scrum delivery experience.
• Strong documentation, communication, and mentoring skills.
• Ability to work collaboratively with internal developers and transfer knowledge effectively.

• AI/ML Development & Deployment
  • Design, develop, and maintain AI-driven systems integrated with cloud platforms.
  • Build, train, fine-tune, and deploy machine learning and large language models (LLMs) for customs and business use cases.
  • Ensure robust MLOps practices (model monitoring, retraining, version control).
• Cloud Architecture & System Development
  • Implement and manage scalable cloud-native architectures (primarily AWS, with exposure to Azure).
  • Develop and optimize automated data pipelines ensuring high data quality, governance, and reliability.
  • Build microservices and APIs for seamless integration with existing systems and third-party applications.
  • Adhere to Customs, Ministry of Interior, and Government of Bahrain UI/UX standards in application design (layout, accessibility, and navigation).
• Governance, Compliance & Security
  • Ensure compliance with cybersecurity, data protection, and national standards (IGA, NCSC Bahrain, ISO).
  • Apply cloud security best practices including identity management, encryption, and secure APIs.
  • Prepare systems for audit readiness with proper logging, monitoring, and explain ability of AI models.
• Collaboration & Stakeholder Engagement
  • Work closely with stakeholders to identify AI-driven opportunities and deliver solutions that add measurable business value.
  • Translate business requirements into technical solutions and prototypes.
  • Gather and evaluate user feedback to continuously improve systems.
• Leadership & Knowledge Sharing
  • Mentor and guide junior developers in AI, ML, and cloud best practices.
  • Lead training workshops and knowledge-transfer sessions for new systems and enhancements.
  • Provide technical documentation, reports, and presentations to management and project committees.
• Continuous Improvement & Support
  • Troubleshoot, debug, and upgrade existing systems and services.
  • Recommend and execute performance and security improvements.
  • Stay updated with emerging AI and cloud technologies; adopt best practices in rapid system development.
  • Demonstrate adaptability by quickly learning and applying new programming languages and frameworks as needed.

Joining time frame: days)

Join The Family Office as an Associate AI Engineer

Are you a recent graduate in Computer Science, Software Engineering, or Data Science, ready to turn your passion for AI into real-world impact?

We’re looking for an Associate AI Engineer to join our team at The Family Office (TFO) . This role offers hands-on experience with cutting-edge AI projects, mentorship from experienced engineers, and the opportunity to shape the future of intelligent systems in enterprise environments

Why Join TFO?

At The Family Office, we live and work by our core values:

• Trust
• Transparency
• Honesty
• Commitment
  
  

• Fine-tune LLMs and build prompt-driven solutions using Azure OpenAI.
• Develop data preprocessing pipelines (cleaning, tokenization, normalization).
• Contribute to Retrieval-Augmented Generation (RAG) and Document Intelligence implementations.
  
  

• Implement Azure ML Pipelines, MLflow, and DVC for version control and tracking.
• Monitor model performance using Azure Monitor and Application Insights.
• Maintain AI notebooks and experiments through Azure AI Studio (Foundry).
  
  

• Work closely with Senior AI Engineers, Data Scientists, DataOps, and PlatformOps.
• Participate in peer reviews, documentation, and continuous learning.
  
  

• Ensure code quality, documentation standards, and timely delivery.
• Contribute to testing, validation, and integration of AI solutions into production.
  
  

• Recent graduates in Computer Science, AI, ML, or Data Science.
• Hands-on experience in AI/ML projects.
• Fast learners with a strong desire to grow in a dynamic, supportive environment.
• Bonus: Experience with Azure AI services or certifications like Azure AI Fundamentals.
  
  

• Languages: Python, SQL, JSON
• Frameworks: PyTorch, Hugging Face Transformers
• MLOps: Azure ML, Azure AI Studio, MLflow, DVC
• DataOps: Azure Data Factory, Synapse, Data Lake
• Monitoring: Azure Monitor, Application Insights
• AI: Prompt engineering, fine-tuning, OpenAI APIs, Azure OpenAI
  
  

Help improve AI’s understanding by reviewing long audio transcription and segmentation tasks. Your role will ensure high-quality, accurate, and natural results that comply with project guidelines.

What you'll do

▷ Review and verify transcribed audio content for accuracy

▷ Ensure audio is segmented correctly according to project rules

▷ Apply correct tags for invalid durations

▷ Confirm text fully matches the spoken audio

What you'll get

▷ Pay: USD $20 per valid audio hour

▷ Flexible hours within the project period

▷ Work from home

What you'll need

▷ Native speaker from Bahrain

▷ Experience with long audio transcription, segmentation, and QA review

▷ Able to work 3–4 hours per day

▷ Resume showing relevant work experience

Project details

▷ Duration: 14 August – 30 September

▷ Hours: 3–4 hours/day

This role is a project-based opportunity with CrowdGen, where you will join the CrowdGen Community as an Independent Contractor. If selected, you will receive an email from CrowdGen regarding the creation of an account using your application email address. You will need to log in to this account and reset the password, complete the setup requirements, and proceed with your application for this project-based role.

$0 - 20 an hour

Pay rate is based on USD.

• Lead research efforts in areas such as deep learning, natural language processing, computer vision, reinforcement learning, and predictive analytics.
• Design and develop novel AI algorithms and machine learning models, and conduct rigorous experiments to evaluate their performance.
• Collaborate with engineering teams to integrate research prototypes into production systems.
• Publish research findings in top-tier conferences and journals.
• Mentor junior researchers and contribute to the growth of the AI research community within the organization.
• Identify emerging trends and opportunities in AI and machine learning that align with the company's strategic goals.
• Develop and maintain high-quality code for AI models and experiments using Python and relevant libraries (e.g., TensorFlow, PyTorch).
• Analyze large datasets to extract insights and inform model development.
• Contribute to the intellectual property strategy of the company through patents and publications.
• Present research proposals and results to technical and non-technical audiences.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Minimum of 8 years of post-doctoral research experience in AI/ML, with a strong publication record.
• Expertise in at least one major AI subfield (e.g., NLP, CV, RL).
• Proficiency in Python and common AI/ML libraries (TensorFlow, PyTorch, scikit-learn).
• Experience with large-scale data processing and distributed computing environments.
• Strong understanding of mathematical foundations of machine learning algorithms.
• Excellent problem-solving, critical thinking, and analytical skills.
• Ability to translate complex research concepts into practical applications.
• Strong communication and presentation skills.
• Experience in leading research projects and mentoring junior team members is essential.