517 AI Engineering jobs in Bahrain
Senior ML Engineer - Deep Learning
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The ideal candidate will possess a Master's or Ph.D. in Computer Science, Electrical Engineering, Statistics, or a related field, with a strong focus on machine learning and deep learning. A minimum of 6 years of professional experience in machine learning engineering, with significant hands-on experience in deep learning frameworks like TensorFlow, PyTorch, or Keras, is required. You should have a proven ability to implement and optimize various deep learning architectures (CNNs, RNNs, Transformers). Experience with cloud computing platforms (AWS, Azure, GCP) and their associated ML services is essential. Excellent programming skills in Python, along with proficiency in libraries such as NumPy, Pandas, and Scikit-learn, are necessary. Strong analytical and problem-solving skills, coupled with outstanding communication and collaboration abilities suitable for a remote work environment, are critical. Familiarity with MLOps practices and tools is highly desirable. If you are a passionate deep learning expert looking to make a significant impact in a cutting-edge, fully remote role, we encourage you to apply.
AI Research Scientist - Deep Learning
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- Conduct advanced research in deep learning, including but not limited to neural networks, reinforcement learning, computer vision, and natural language processing.
- Design, implement, and evaluate novel AI algorithms and models.
- Develop and optimize deep learning architectures for performance and scalability.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Stay abreast of the latest advancements in AI and machine learning, identifying opportunities for application.
- Publish research findings in leading AI conferences and journals.
- Mentor junior researchers and engineers, fostering a culture of innovation and knowledge sharing.
- Contribute to the development of intellectual property and patent applications.
- Analyze large datasets to extract insights and inform model development.
- Present research results and progress to technical and non-technical audiences.
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related quantitative field.
- Proven experience in developing and deploying deep learning models using frameworks such as TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python, C++, or similar languages.
- Solid understanding of machine learning principles, algorithms, and statistical modeling.
- Experience with large-scale data processing and distributed computing environments.
- A strong publication record in major AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and collaboratively in a remote research environment.
- Excellent written and verbal communication skills.
- Passion for pushing the boundaries of artificial intelligence.
AI Solutions Architect - Deep Learning
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Remote Senior AI Engineer - Deep Learning
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As a remote Senior AI Engineer, you will be responsible for the entire lifecycle of AI model development, from data preprocessing and feature engineering to model training, validation, and optimization. You will collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to understand project requirements and deliver high-quality AI-driven products. Key responsibilities include researching and implementing state-of-the-art deep learning techniques, developing robust and scalable AI pipelines, and ensuring the ethical and responsible deployment of AI systems. You will also contribute to code reviews, mentor junior engineers, and stay current with the latest research and trends in the AI field.
The ideal candidate will have a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. A minimum of 6 years of experience in AI and machine learning, with a strong focus on deep learning, is required. Proven experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras is essential. Proficiency in programming languages like Python, along with libraries such as NumPy, Pandas, and Scikit-learn, is a must. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable. Excellent problem-solving skills, strong analytical abilities, and the capacity to work independently in a remote setting are critical. You must possess outstanding communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences. This is a remote role, offering flexibility and the opportunity to contribute to groundbreaking AI projects from anywhere.
Senior AI/ML Engineer - Deep Learning
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Key Responsibilities:
- Design, develop, and implement advanced deep learning models for various applications, including computer vision, natural language processing, and reinforcement learning.
- Build and train sophisticated neural networks using frameworks such as TensorFlow, PyTorch, and Keras.
- Optimize model performance through techniques like hyperparameter tuning, regularization, and efficient architectures.
- Develop and maintain robust data pipelines for training and inference.
- Deploy deep learning models into production environments, ensuring scalability and reliability.
- Collaborate with data scientists and software engineers to integrate AI/ML solutions into products and services.
- Conduct research into new AI/ML techniques and technologies, evaluating their potential applications.
- Write clean, efficient, and well-documented code.
- Stay current with the latest advancements and publications in AI and deep learning.
- Participate in code reviews and contribute to the team's best practices.
- Present technical findings and project updates to stakeholders.
- Master's degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 6 years of experience in AI/ML engineering, with a significant focus on deep learning.
- Proven experience in developing and deploying deep learning models in real-world applications.
- Expertise in Python and deep learning libraries (TensorFlow, PyTorch, Keras).
- Strong understanding of machine learning algorithms, statistical modeling, and data structures.
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.
- Excellent problem-solving skills and a passion for innovation.
- Strong communication and collaboration skills, suitable for remote teamwork.
- Ability to work independently and manage project timelines effectively.
- Experience with distributed training and parallel computing is advantageous.
Senior AI Research Scientist - Deep Learning
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Principal AI Research Scientist (Deep Learning)
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- Driving research initiatives in deep learning and related AI fields.
- Designing, developing, and evaluating novel deep learning architectures and algorithms.
- Mentoring junior researchers and engineers, fostering a collaborative research environment.
- Publishing research findings in top-tier conferences and journals.
- Translating research breakthroughs into practical applications and prototypes.
- Staying at the forefront of AI research by actively participating in the scientific community.
- Contributing to the strategic direction of the company's AI research roadmap.
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Senior AI Research Scientist - Deep Learning
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As a Senior AI Research Scientist, you will be instrumental in driving innovation and pushing the boundaries of artificial intelligence. Your primary focus will be on developing and implementing advanced deep learning models for complex real-world problems. This includes designing novel neural network architectures, optimizing training procedures, and deploying robust AI solutions. You will work with large datasets, leverage state-of-the-art computational resources, and collaborate closely with a team of world-class researchers and engineers.
Key responsibilities include:
- Conducting theoretical and applied research in machine learning, deep learning, and related AI fields.
- Developing and prototyping new algorithms and models for areas such as computer vision, natural language processing, and reinforcement learning.
- Collaborating with product teams to translate research findings into practical applications and product features.
- Staying abreast of the latest advancements in AI research and contributing to the scientific community through publications and presentations.
- Mentoring junior researchers and contributing to a culture of continuous learning and innovation.
- Evaluating and integrating new AI technologies and tools.
- Ensuring the ethical and responsible development and deployment of AI systems.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of research publications in top-tier AI conferences and journals.
- Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python and experience with relevant libraries (e.g., NumPy, SciPy, Pandas).
- Familiarity with cloud computing platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and as part of a collaborative team.
- Experience with distributed training and large-scale data processing is a plus.
Remote AI Research Scientist - Deep Learning
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You will contribute to the entire machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment. Collaboration with other researchers, engineers, and product managers will be key to translating research breakthroughs into practical, scalable solutions. The ideal candidate will have a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field, with a strong publication record in top-tier AI conferences and journals. Exceptional programming skills in Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras are mandatory. You should possess a deep theoretical understanding of various neural network architectures, optimization techniques, and regularization methods. This role requires a highly analytical mind, exceptional problem-solving abilities, and a passion for exploring new frontiers in AI. As a fully remote team member, you must be self-motivated, possess excellent communication skills, and be adept at virtual collaboration.
Responsibilities:
- Conduct cutting-edge research in deep learning and artificial intelligence.
- Develop, implement, and evaluate novel deep learning models and algorithms.
- Work with large-scale datasets for training and testing AI models.
- Collaborate with a team of researchers and engineers to advance AI projects.
- Publish research findings in leading AI conferences and journals.
- Contribute to the development of AI products and solutions.
- Stay current with the latest advancements in AI and machine learning.
- Mentor junior researchers and contribute to the team's knowledge sharing.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Proven track record of research in deep learning, with publications in top-tier venues.
- Expertise in Python and major deep learning frameworks (TensorFlow, PyTorch, Keras).
- Strong understanding of machine learning theory, algorithms, and statistical modeling.
- Experience with various neural network architectures (CNNs, RNNs, Transformers).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills for remote teamwork.
- Experience with cloud platforms (AWS, GCP, Azure) is a plus.
Senior AI Research Scientist - Deep Learning
Posted today
Job Viewed
Job Description
Responsibilities:
- Conduct advanced research in deep learning architectures, including CNNs, RNNs, Transformers, and GANs.
- Develop and implement state-of-the-art machine learning models and algorithms.
- Collaborate with cross-functional teams to translate research findings into practical applications and product features.
- Analyze and interpret large datasets to extract meaningful insights and identify patterns.
- Stay abreast of the latest advancements in AI and machine learning research through continuous learning and participation in academic conferences.
- Publish research findings in top-tier academic journals and present at international conferences.
- Mentor junior researchers and contribute to the growth of the AI research community within the organization.
- Ensure the ethical and responsible development and deployment of AI systems.
- Contribute to the development of intellectual property through patents and publications.
- Propose and lead innovative research projects from conception to completion.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of research and development in deep learning with significant contributions to the field.
- Proficiency in programming languages such as Python, and deep learning frameworks like TensorFlow, PyTorch, or Keras.
- Strong understanding of mathematical concepts including linear algebra, calculus, and probability.
- Experience with cloud platforms (AWS, Azure, GCP) for AI model training and deployment.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
- Experience leading research projects and mentoring team members is highly desirable.
- Ability to work independently and as part of a collaborative team in a fast-paced environment.