What Jobs are available for AI Engineer in Bahrain?
Showing 1279 AI Engineer jobs in Bahrain
Lead AI Engineer - Machine Learning & Deep Learning
Posted 3 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 21 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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Senior AI Engineer - Deep Learning & NLP
Posted 9 days ago
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AI Research Engineer - Deep Learning
Posted 3 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 11 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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Senior AI/ML Engineer (Deep Learning)
Posted 2 days ago
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Job Description
Responsibilities:
- Design, implement, and train state-of-the-art deep learning models for various applications (e.g., computer vision, natural language processing, recommendation systems).
- Develop and optimize machine learning algorithms and pipelines for large-scale datasets.
- Research and experiment with new AI/ML techniques and technologies to improve model performance and efficiency.
- Deploy machine learning models into production environments, ensuring scalability, reliability, and maintainability.
- Collaborate with cross-functional teams to define AI/ML project requirements and deliverables.
- Evaluate and select appropriate tools, libraries, and frameworks for AI/ML development.
- Write clean, efficient, and well-documented code in programming languages like Python.
- Stay current with the latest advancements and research trends in artificial intelligence and machine learning.
- Mentor junior engineers and contribute to the team's technical growth.
- Analyze and interpret complex data sets to extract actionable insights and inform model development.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of experience in machine learning and deep learning development.
- Proficiency in Python and major deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong understanding of various deep learning architectures (CNNs, RNNs, Transformers) and their applications.
- Experience with cloud platforms (AWS, Azure, GCP) for AI/ML development and deployment.
- Familiarity with data science libraries (e.g., NumPy, Pandas, Scikit-learn) and big data technologies.
- Experience with MLOps practices, including model deployment, monitoring, and versioning.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences.
- Demonstrated ability to work independently and manage projects effectively in a remote setting.
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Principal AI/ML Engineer - Deep Learning
Posted 14 days ago
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Job Description
Your role will involve pushing the boundaries of AI research and development, exploring novel algorithms, and applying them to practical applications. You will collaborate with a team of brilliant scientists and engineers, guiding technical direction and mentoring junior members. This position requires a deep understanding of machine learning principles, strong programming skills, and extensive experience with deep learning frameworks. You will also be expected to contribute to the company's intellectual property through publications and patents. We are looking for a thought leader who can drive the future of AI within our client's organization.
Key Responsibilities:
- Lead the design, development, and implementation of advanced deep learning models and AI systems.
- Research, experiment with, and apply state-of-the-art machine learning algorithms and techniques.
- Architect and build scalable, production-ready AI/ML pipelines and infrastructure.
- Collaborate with cross-functional teams to integrate AI solutions into products and services.
- Mentor and guide junior AI/ML engineers and data scientists.
- Stay abreast of the latest advancements in AI, machine learning, and deep learning research.
- Contribute to technical strategy, roadmap development, and intellectual property.
- Publish research findings in top-tier conferences and journals, and/or file patents.
- Optimize model performance, efficiency, and deployment.
- Communicate complex technical concepts effectively to both technical and non-technical audiences.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 10+ years of progressive experience in AI/ML research and development, with a significant focus on deep learning.
- Proven track record of successfully developing and deploying large-scale AI/ML models in production environments.
- Expertise in programming languages such as Python, and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong understanding of algorithms, data structures, and software engineering best practices.
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership and mentoring capabilities.
- Outstanding communication and collaboration skills, essential for remote teamwork.
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Senior AI/ML Engineer - Deep Learning
Posted 16 days ago
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Job Description
Key Responsibilities:
- Design, develop, and implement state-of-the-art deep learning models for tasks such as computer vision, natural language processing, and predictive analytics.
- Preprocess, clean, and analyze large and complex datasets to prepare them for model training.
- Experiment with various neural network architectures and hyperparameter tuning to optimize model performance.
- Utilize deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., Keras, scikit-learn).
- Deploy trained models into production environments, ensuring scalability, efficiency, and robustness.
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI solutions into products and services.
- Stay abreast of the latest research and advancements in AI, machine learning, and deep learning.
- Contribute to the development of AI strategy and roadmap.
- Write clean, well-documented, and efficient code.
- Evaluate and benchmark model performance, and iterate on improvements.
- Mentor junior engineers and share knowledge within the team.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
- Minimum of 5 years of hands-on experience in developing and deploying machine learning and deep learning models.
- Proven expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python and proficiency with relevant libraries (e.g., NumPy, Pandas, Scikit-learn).
- Solid understanding of machine learning algorithms, statistical modeling, and data mining techniques.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) for AI/ML development and deployment.
- Experience with big data technologies and distributed computing frameworks is a plus.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration skills, with the ability to articulate complex technical concepts.
- Ability to work independently, manage multiple priorities, and thrive in a fast-paced, remote environment.
This is an exceptional opportunity for a passionate AI/ML leader to shape the future of technology with a globally distributed team.
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Senior AI/ML Engineer, Deep Learning Architect
Posted 16 days ago
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Job Description
- Design, develop, and implement advanced deep learning models for various applications (e.g., computer vision, natural language processing, reinforcement learning).
- Conduct research on cutting-edge AI/ML algorithms and techniques to identify opportunities for innovation.
- Perform data exploration, feature engineering, and model selection to optimize performance.
- Train, evaluate, and fine-tune deep learning models, ensuring robustness and scalability.
- Deploy trained models into production environments, working closely with MLOps teams.
- Optimize model performance for efficiency, speed, and resource utilization.
- Collaborate with product managers and stakeholders to understand business needs and translate them into technical requirements.
- Mentor junior engineers and contribute to the knowledge sharing within the AI/ML team.
- Stay up-to-date with the latest research papers, industry trends, and advancements in AI and machine learning.
- Document models, experiments, and processes thoroughly.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of hands-on experience in developing and deploying deep learning models in production environments.
- Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Solid understanding of fundamental machine learning algorithms, statistical modeling, and data structures.
- Experience with cloud platforms (AWS, Azure, GCP) and associated ML services.
- Familiarity with MLOps principles and tools for model deployment and management.
- Experience with large-scale datasets and distributed computing frameworks (e.g., Spark).
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration abilities to work effectively in a team environment.
- Published research in top-tier AI/ML conferences or journals is a strong plus.
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Remote Principal AI/ML Engineer - Deep Learning
Posted 21 days ago
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