What Jobs are available for AI Engineering in Bahrain?
Showing 1314 AI Engineering jobs in Bahrain
Lead AI Engineer - Machine Learning & Deep Learning
Posted 2 days ago
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Job Description
Key Responsibilities:
- Lead the design, development, and implementation of advanced machine learning and deep learning models.
- Research and evaluate new AI technologies and methodologies to solve complex business problems.
- Develop scalable and efficient AI pipelines for data preprocessing, model training, and deployment.
- Collaborate with cross-functional teams (data scientists, software engineers, product managers) to integrate AI solutions into products and services.
- Mentor and guide junior AI engineers and data scientists.
- Stay current with the latest research papers and industry trends in AI, ML, and DL.
- Optimize model performance, accuracy, and efficiency.
- Contribute to the technical roadmap and strategy for AI initiatives.
- Develop and maintain robust documentation for AI models and systems.
- Present technical findings and project progress to stakeholders.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 6-8 years of hands-on experience in developing and deploying machine learning and deep learning models.
- Proficiency in programming languages such as Python, and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of algorithms, data structures, and software engineering best practices.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps principles.
- Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent analytical and problem-solving skills.
- Strong communication and leadership abilities, with the capacity to mentor and guide a team.
- Proven ability to translate complex technical concepts into actionable insights.
- Experience in developing AI solutions for real-world applications.
This position is located in Budaiya, Northern, BH and offers a flexible hybrid work arrangement, allowing for a blend of in-office collaboration and remote flexibility. Join our client and shape the future of AI.
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Principal AI Engineer - Machine Learning & Deep Learning
Posted 20 days ago
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Job Description
Key Responsibilities:
- Lead the design, development, and deployment of advanced Machine Learning and Deep Learning models for complex business problems.
- Architect scalable and robust AI systems, from data pipelines and feature engineering to model training and inference.
- Conduct research into novel AI techniques and algorithms, assessing their applicability and potential impact.
- Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to define AI strategy and roadmaps.
- Mentor and guide junior AI engineers, fostering technical growth and best practices within the team.
- Stay at the cutting edge of AI research and development, evaluating and integrating new tools and technologies.
- Ensure the ethical and responsible development and deployment of AI solutions.
- Optimize ML models for performance, efficiency, and scalability in production environments.
- Develop and maintain comprehensive documentation for AI models, algorithms, and systems.
- Present findings and technical insights to stakeholders at various levels of the organization.
- PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 8 years of progressive experience in AI/ML engineering, with a significant focus on Deep Learning.
- Proven track record of successfully developing and deploying production-grade ML/DL models using frameworks such as TensorFlow, PyTorch, or Keras.
- Deep understanding of statistical modeling, algorithms, and data mining techniques.
- Expertise in areas such as natural language processing (NLP), computer vision, reinforcement learning, or predictive analytics.
- Proficiency in programming languages like Python and experience with relevant libraries (e.g., scikit-learn, Pandas, NumPy).
- Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent leadership, communication, and collaboration abilities.
- Experience with MLOps principles and tools for managing the ML lifecycle is a plus.
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AI Research Engineer - Deep Learning
Posted 2 days ago
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Job Description
Key Responsibilities:
- Design, develop, and implement advanced deep learning models and algorithms for complex AI problems.
- Conduct research into new AI techniques, machine learning architectures, and data processing methods.
- Collaborate with cross-functional teams, including software engineers and product managers, to integrate AI solutions into products and services.
- Process and analyze large datasets to train and evaluate AI models.
- Optimize model performance for scalability, efficiency, and accuracy.
- Stay abreast of the latest advancements in AI, machine learning, and related fields.
- Publish research findings in reputable conferences and journals.
- Develop prototypes and proof-of-concepts for new AI applications.
- Mentor junior engineers and contribute to the team's technical growth.
- Contribute to the intellectual property portfolio through patents and publications.
The ideal candidate will have a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Proven experience in developing and deploying deep learning models using frameworks such as TensorFlow, PyTorch, or Keras is essential. Strong programming skills in Python and experience with libraries like NumPy and Pandas are required. Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus. Excellent problem-solving skills, creativity, and the ability to work independently and as part of a team are crucial. This hybrid role offers a flexible work arrangement, allowing for both remote work and in-office collaboration. The position is based in Isa Town, Southern, BH .
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AI/ML Engineer - Deep Learning
Posted 10 days ago
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Job Description
Key Responsibilities:
- Designing, building, and training deep learning models for various applications (e.g., computer vision, natural language processing, predictive analytics).
- Implementing and optimizing ML algorithms using frameworks such as TensorFlow, PyTorch, or Keras.
- Preprocessing and analyzing large datasets to prepare them for model training.
- Evaluating model performance, identifying areas for improvement, and fine-tuning hyperparameters.
- Deploying trained models into production environments, ensuring scalability and reliability.
- Collaborating with data scientists, software engineers, and product managers to integrate AI solutions.
- Staying abreast of the latest research and advancements in AI, ML, and deep learning.
- Developing and maintaining MLOps pipelines for efficient model deployment and monitoring.
- Conducting experiments and documenting findings thoroughly.
- Contributing to the development of novel AI strategies and architectures.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 3 years of experience in developing and deploying deep learning models.
- Proficiency in programming languages such as Python and experience with relevant libraries (e.g., NumPy, Pandas, Scikit-learn).
- Extensive experience with deep learning frameworks like TensorFlow, PyTorch, or Keras.
- Strong understanding of various deep learning architectures (e.g., CNNs, RNNs, Transformers).
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities.
- Familiarity with big data technologies is a plus.
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AI Research Scientist (Deep Learning)
Posted 1 day ago
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Job Description
Responsibilities:
- Conducting research and development of advanced deep learning models and algorithms.
- Designing, training, and evaluating neural networks for various AI applications.
- Processing and analyzing large-scale datasets.
- Implementing and optimizing AI models using frameworks like TensorFlow and PyTorch.
- Collaborating with engineering teams to deploy AI solutions.
- Staying current with the latest advancements in AI and machine learning.
- Documenting research findings and technical designs.
- Presenting research results to technical and non-technical audiences.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 3+ years of experience in AI research and development, with a focus on deep learning.
- Proven experience in developing and deploying deep learning models.
- Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, Keras).
- Strong understanding of machine learning algorithms and statistical modeling.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities in a remote setting.
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AI Research Scientist - Deep Learning
Posted 3 days ago
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Job Description
Responsibilities include conducting in-depth research into state-of-the-art deep learning techniques, designing and training neural networks, and evaluating model performance. You will be involved in all stages of the ML lifecycle, from data acquisition and preprocessing to model deployment and monitoring. Collaborating closely with software engineers, product managers, and other researchers to translate research findings into practical applications will be a key aspect of this position. You will also be responsible for staying abreast of the latest advancements in AI and machine learning, contributing to scientific publications, and presenting findings to both technical and non-technical audiences.
We require a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field. Proven experience in deep learning research and development, with a strong portfolio of published work or contributions to significant AI projects, is essential. Expertise in Python programming and deep learning frameworks such as TensorFlow, PyTorch, or Keras is mandatory. Familiarity with cloud platforms (AWS, GCP, Azure) and big data technologies is highly desirable. Excellent analytical, problem-solving, and communication skills are required to articulate complex technical concepts. This role is based in **Muharraq, Muharraq, BH**, and involves a hybrid work schedule requiring periodic office presence.
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Senior Deep Learning Engineer - NLP
Posted 3 days ago
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Job Description
As a Senior Deep Learning Engineer in this remote-first environment, you will be at the forefront of designing, implementing, and deploying advanced NLP models. Your work will involve tackling challenging problems in areas such as text generation, sentiment analysis, machine translation, and question answering. You will leverage your deep expertise in deep learning frameworks and algorithms to build scalable, high-performance NLP systems that drive significant business value.
Key Responsibilities:
- Lead the research, development, and deployment of state-of-the-art deep learning models for NLP tasks.
- Design and architect robust and scalable NLP systems for production environments.
- Mentor and guide a team of talented AI/ML engineers and researchers, fostering technical growth and best practices.
- Collaborate with product management and cross-functional teams to define requirements and deliver innovative NLP solutions.
- Stay abreast of the latest advancements in NLP research, including transformers, LLMs, and other cutting-edge techniques.
- Optimize model performance, efficiency, and latency for various deployment scenarios.
- Evaluate and select appropriate tools, frameworks (e.g., PyTorch, TensorFlow), and libraries for NLP development.
- Contribute to the overall AI/ML strategy and technical direction of the company.
- Communicate complex technical concepts effectively to both technical and non-technical audiences.
- Publish research findings and present work at leading AI conferences (optional but encouraged).
- Ph.D. or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Computational Linguistics, or a related field.
- 7+ years of hands-on experience in developing and deploying production-level deep learning models for NLP.
- Proven track record of leading successful NLP projects from research to deployment.
- Deep expertise in NLP techniques, including but not limited to, sequence-to-sequence models, transformers, BERT, GPT, and other LLMs.
- Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
- Strong understanding of algorithms, data structures, and software engineering best practices.
- Experience with cloud platforms (AWS, Azure, GCP) and distributed training is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional communication, leadership, and interpersonal skills for effective remote collaboration.
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AI Research Scientist - Deep Learning
Posted 4 days ago
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Job Description
Key responsibilities include conducting cutting-edge research, publishing findings in top-tier conferences and journals, and collaborating with a team of world-class researchers and engineers. You will work with large datasets, develop robust training pipelines, and deploy models into production environments. The AI Research Scientist will stay abreast of the latest advancements in the field, identify emerging trends, and propose innovative research directions. You will contribute to the intellectual property of the company through patent filings and internal knowledge sharing. The role demands exceptional analytical and problem-solving skills, coupled with strong programming abilities in Python and proficiency with deep learning frameworks such as TensorFlow, PyTorch, or Keras. A Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a closely related field is essential, along with a demonstrated history of research contributions. Join us in shaping the future of artificial intelligence and creating intelligent systems that will transform industries.
Qualifications:
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related quantitative field.
- 5+ years of hands-on experience in deep learning research and development.
- Proven track record of research publications in top AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR).
- Expertise in various deep learning architectures (CNNs, RNNs, Transformers, etc.).
- Strong programming skills in Python and experience with deep learning frameworks (TensorFlow, PyTorch, etc.).
- Experience with large-scale data processing and distributed training.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Strong communication and collaboration skills.
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AI Research Scientist - Deep Learning
Posted 9 days ago
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Job Description
Key Responsibilities:
- Conduct cutting-edge research in deep learning, exploring novel architectures, algorithms, and applications.
- Develop and implement deep learning models for tasks such as computer vision, natural language processing, reinforcement learning, and more.
- Design and execute experiments to evaluate model performance and validate research hypotheses.
- Analyze large datasets to extract insights and inform model development.
- Collaborate with other researchers and engineers to integrate AI solutions into products and services.
- Publish research findings in top-tier academic conferences and journals.
- Stay abreast of the latest advancements in AI and machine learning.
- Contribute to the development of intellectual property and patents.
- Present research findings to technical and non-technical audiences.
- Mentor junior researchers and interns.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven research experience with a strong publication record in top AI/ML venues.
- Deep understanding of deep learning theory, algorithms, and architectures (e.g., CNNs, RNNs, Transformers).
- Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Strong analytical and problem-solving skills.
- Excellent communication and presentation skills.
- Ability to work effectively both independently and in a collaborative team environment.
This position is located in Zallaq, Southern, BH and operates on a hybrid model, requiring some on-site collaboration while offering flexibility for remote work. Our client is committed to fostering a world-class research environment. If you are passionate about advancing the field of AI, we encourage you to apply.
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AI Research Scientist - Deep Learning
Posted 11 days ago
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Job Description
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