What Jobs are available for AI Models in Bahrain?
Showing 1123 AI Models jobs in Bahrain
Senior AI Research Scientist - Neural Networks
Posted 2 days ago
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Job Description
Responsibilities:
- Conduct advanced research in artificial intelligence, with a focus on neural networks and deep learning.
- Design, implement, and test novel machine learning algorithms and models.
- Analyze and interpret complex datasets to extract meaningful insights.
- Develop and optimize AI systems for performance and scalability.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Publish research findings in top-tier conferences and journals.
- Stay current with the latest advancements in AI and machine learning research.
- Mentor junior researchers and contribute to the team's knowledge sharing.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of research experience in AI/ML, with a strong emphasis on neural networks.
- Proven track record of publications in leading AI conferences (NeurIPS, ICML, ICLR, etc.).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python, C++, or Java.
- Strong mathematical and statistical background.
- Excellent analytical, problem-solving, and critical-thinking skills.
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            Principal AI Researcher, Generative Models
Posted 3 days ago
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Job Description
Key Responsibilities:
- Lead research projects in generative AI, focusing on NLP and computer vision.
- Develop and implement novel deep learning algorithms and models.
- Conduct cutting-edge research and publish findings in leading conferences and journals.
- Explore and apply advanced generative architectures (e.g., GANs, VAEs, Transformers).
- Design and execute experiments, analyze results, and draw meaningful conclusions.
- Collaborate with engineering teams for the deployment of AI models.
- Mentor and guide junior researchers and data scientists.
- Stay current with the latest research trends and breakthroughs in AI.
- Contribute to the strategic direction of the AI research roadmap.
- Present research findings to technical and non-technical audiences.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 7+ years of research experience in AI/ML, with a focus on generative models.
- Strong publication record in top AI conferences (e.g., NeurIPS, ICML, ICLR).
- Expertise in deep learning frameworks like TensorFlow and PyTorch.
- In-depth knowledge of generative model architectures (GANs, VAEs, Transformers).
- Proficiency in programming languages such as Python.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication, presentation, and interpersonal skills.
- Demonstrated leadership in research projects.
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            Lead AI Engineer, Generative Models
Posted 3 days ago
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            Principal AI Engineer - Generative Models
Posted 6 days ago
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Job Description
Responsibilities:
- Lead the design, development, and implementation of advanced generative AI models, including GANs, VAEs, diffusion models, and transformers.
- Architect robust and scalable AI systems for training, fine-tuning, and deploying generative models.
- Conduct cutting-edge research into novel AI techniques and algorithms, focusing on enhancing generative capabilities.
- Collaborate closely with product teams, researchers, and data scientists to identify opportunities for applying generative AI.
- Optimize model performance, efficiency, and resource utilization for large-scale deployments.
- Develop and maintain rigorous testing, validation, and monitoring frameworks for AI models.
- Mentor and guide junior AI engineers and contribute to the technical growth of the team.
- Stay abreast of the latest research papers, industry trends, and emerging technologies in AI and machine learning.
- Contribute to the company's intellectual property through publications and patent filings.
- Ensure ethical considerations and responsible AI practices are integrated into all development processes.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of professional experience in AI/ML engineering, with at least 3 years focused on generative models.
- Demonstrated expertise in designing, training, and deploying deep learning models, particularly GANs, VAEs, diffusion models, or large language models (LLMs).
- Proficiency in programming languages such as Python, and deep learning frameworks like TensorFlow, PyTorch, or JAX.
- Strong understanding of underlying mathematical principles, including linear algebra, calculus, and probability.
- Experience with large-scale data processing, distributed computing, and cloud platforms (e.g., AWS, GCP, Azure).
- Excellent problem-solving, analytical, and algorithmic thinking skills.
- Strong leadership and communication abilities, with experience mentoring technical teams.
- Proven ability to translate complex research concepts into practical, deployable solutions.
- Experience with MLOps practices and tools is a plus.
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            Lead AI Engineer - Generative Models
Posted 7 days ago
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Job Description
The ideal candidate will have a deep theoretical and practical understanding of deep learning, particularly in the areas of natural language processing (NLP), computer vision, and reinforcement learning. Expertise in architecting and training large-scale generative models, such as GANs, VAEs, and Transformers, is essential. You will be responsible for guiding the entire lifecycle of AI model development, from ideation and experimentation to production deployment and continuous improvement.
Key Responsibilities:
- Lead the research, design, and implementation of advanced AI models, with a focus on generative techniques.
- Architect and develop scalable AI systems and pipelines for training and inference.
- Mentor and manage a team of AI engineers and researchers, fostering a collaborative and innovative environment.
- Collaborate with product managers and stakeholders to define AI strategy and translate business requirements into technical solutions.
- Stay at the forefront of AI research by reading academic papers, attending conferences, and experimenting with new technologies.
- Develop and deploy AI models into production environments, ensuring robustness, scalability, and efficiency.
- Evaluate and benchmark AI model performance, identifying areas for optimization.
- Contribute to the company's intellectual property through research publications and patents.
- Ensure ethical considerations and responsible AI practices are integrated into all development efforts.
- Drive the adoption of best practices in MLOps and AI development.
 Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 8+ years of hands-on experience in AI/ML development, with a significant focus on deep learning and generative models.
- Proven track record of leading successful AI projects from conception to deployment.
- Expertise in programming languages such as Python, and deep learning frameworks like TensorFlow, PyTorch, or JAX.
- Deep understanding of NLP, computer vision, and/or reinforcement learning techniques.
- Experience with cloud platforms (AWS, Azure, GCP) and distributed training methodologies.
- Strong understanding of model evaluation, optimization, and deployment strategies.
- Excellent leadership, communication, and collaboration skills.
- Experience with large language models (LLMs) and their applications is a strong plus.
 Join us and be part of a forward-thinking team shaping the future of artificial intelligence.
 
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            Principal AI Engineer - Generative Models
Posted 9 days ago
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Job Description
Responsibilities:
- Lead the design, development, and deployment of advanced generative AI models (e.g., LLMs, GANs, diffusion models).
- Architect scalable and robust AI systems for generating diverse types of content.
- Optimize deep learning models for performance, efficiency, and accuracy.
- Conduct research into new generative AI techniques and their applications.
- Collaborate with research scientists and engineers to integrate cutting-edge AI into products.
- Mentor junior AI engineers and provide technical leadership.
- Ensure the ethical development and deployment of AI technologies.
- Stay abreast of the latest advancements in AI research and industry trends.
- Develop and maintain documentation for AI models and systems.
- Contribute to the company's intellectual property through patents and publications.
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related field.
- 7+ years of experience in AI engineering and development, with a focus on generative models.
- Proven experience with large language models (LLMs), GANs, diffusion models, or similar generative techniques.
- Expertise in deep learning frameworks (e.g., PyTorch, TensorFlow).
- Strong programming skills in Python.
- Deep understanding of AI/ML principles, algorithms, and best practices.
- Experience with distributed training and large-scale model deployment.
- Excellent problem-solving, analytical, and leadership skills.
- Strong communication skills for effective collaboration in a remote environment.
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            Lead AI Engineer - Generative Models
Posted 12 days ago
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Job Description
Key responsibilities include designing and prototyping novel generative AI architectures (e.g., GANs, VAEs, Transformers), optimizing model performance, and ensuring scalability for production deployment. You will lead the entire lifecycle of generative AI projects, from conceptualization and data preparation to model training, evaluation, and deployment. The role involves collaborating closely with product managers and other stakeholders to translate business requirements into effective AI solutions. Staying abreast of the rapidly evolving landscape of generative AI and exploring new research frontiers are crucial.
The ideal candidate will hold a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. A minimum of 7 years of professional experience in AI/ML engineering is required, with a significant focus on generative models. Proven experience in developing and deploying models such as GPT, Stable Diffusion, or similar architectures is highly desirable. Strong programming skills in Python and hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow) are essential. Excellent leadership, communication, and problem-solving abilities are critical for guiding the team and communicating complex technical concepts. Join our innovative team in Riffa, Southern, BH , and play a key role in developing the next generation of AI-powered products.
Responsibilities:
- Lead the design and development of generative AI models and applications.
- Architect and implement scalable AI solutions using advanced machine learning techniques.
- Oversee the entire lifecycle of generative AI projects, from research to production.
- Mentor and guide a team of AI engineers and researchers.
- Collaborate with product teams to define and deliver AI-powered features.
- Optimize model performance, training efficiency, and deployment strategies.
- Stay current with research and industry trends in generative AI.
- Conduct feasibility studies and evaluate new AI technologies.
- Ensure code quality, documentation, and best practices.
- Master's/Ph.D. in Computer Science, AI, or related field.
- 7+ years of experience in AI/ML engineering, with a focus on generative models.
- Proven experience with GANs, VAEs, Transformers, or similar architectures.
- Strong programming skills in Python and deep learning frameworks (PyTorch, TensorFlow).
- Experience deploying AI models into production environments.
- Excellent leadership, communication, and problem-solving skills.
- Ability to work effectively in a fast-paced, innovative environment.
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Principal AI Researcher, Generative Models
Posted 12 days ago
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            Principal AI Engineer - Generative Models
Posted 14 days ago
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Job Description
Key Responsibilities:
- Lead the research, design, and development of state-of-the-art generative AI models (LLMs, diffusion models, GANs, etc.).
- Architect and implement scalable, robust, and efficient machine learning pipelines for training and inference.
- Conduct cutting-edge research and experimentation to push the boundaries of generative AI capabilities.
- Collaborate closely with product management to define AI features and roadmap.
- Work with other engineering teams to integrate generative models into production systems and applications.
- Mentor junior AI engineers and contribute to the growth of the AI team.
- Develop and maintain high-quality code, documentation, and best practices for AI development.
- Evaluate and adopt new AI technologies and methodologies.
- Publish research findings and contribute to the broader AI community.
- Ensure the ethical and responsible development and deployment of AI models.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 8 years of professional experience in AI/ML engineering, with a strong focus on generative models.
- Demonstrated expertise in developing and deploying LLMs, transformers, diffusion models, or GANs.
- Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Experience with distributed training and large-scale ML infrastructure.
- Strong understanding of MLOps principles and practices.
- Excellent problem-solving, analytical, and algorithmic thinking skills.
- Proven ability to lead complex technical projects and mentor teams.
- Exceptional communication and collaboration skills, with the ability to articulate complex technical concepts.
- Experience working in a fully remote, collaborative environment is essential.
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            Principal AI Researcher - Generative Models
Posted 17 days ago
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Job Description
Key Responsibilities:
- Lead research and development in advanced generative AI models.
- Develop and implement novel algorithms for image, text, or other data generation.
- Conduct rigorous experiments, analyze results, and document findings.
- Publish research in top-tier AI conferences and journals.
- Collaborate with a global, remote team of AI researchers and engineers.
- Stay at the forefront of AI research and identify emerging trends.
- Mentor junior researchers and contribute to team growth.
- Contribute to patent applications and intellectual property development.
- Present research findings to technical and non-technical audiences.
- Drive innovation in AI applications relevant to our client's objectives.
Qualifications:
- PhD in Computer Science, Artificial Intelligence, or a related field.
- 7+ years of research experience in AI, with a strong specialization in Generative Models.
- Proven track record of publications in leading AI venues (NeurIPS, ICML, ICLR, CVPR, ACL, etc.).
- Expertise in deep learning frameworks (PyTorch, TensorFlow) and ML libraries.
- Strong mathematical and statistical background.
- Excellent problem-solving, analytical, and critical thinking skills.
- Demonstrated ability to lead research projects and work effectively in a remote, collaborative setting.
- Strong written and verbal communication skills.
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