What Jobs are available for AI Ml Engineer in Bahrain?
Showing 1260 AI Ml Engineer jobs in Bahrain
AI/ML Engineer
Posted 8 days ago
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AI/ML Engineer
Posted 24 days ago
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You will collaborate closely with data scientists, software engineers, and product managers to understand requirements and translate them into technical solutions. This role requires a strong foundation in machine learning theory, statistical modeling, and programming. Experience with popular ML frameworks such as TensorFlow, PyTorch, or scikit-learn is essential. You should be adept at working with large datasets, implementing various ML algorithms (e.g., deep learning, natural language processing, computer vision), and optimizing model performance.
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 ML models in a production setting is highly desirable. Strong programming skills in Python and experience with cloud platforms (AWS, Azure, GCP) are also crucial. You should possess excellent problem-solving abilities, a strong analytical mindset, and the capacity to work independently and collaboratively in a remote setting.
We are looking for individuals who are passionate about AI and eager to push the boundaries of what's possible. You should be a continuous learner, staying abreast of the latest research and developments in the field. Excellent communication skills are necessary for explaining complex technical concepts to both technical and non-technical audiences. This role offers a chance to work on challenging problems and make a significant impact in the rapidly evolving world of AI.
Responsibilities:
- Design, develop, and implement machine learning models and algorithms.
- Preprocess and analyze large datasets for ML applications.
- Train, evaluate, and optimize ML models for performance and accuracy.
- Deploy ML models into production environments.
- Collaborate with cross-functional teams on AI/ML projects.
- Stay current with advancements in AI and machine learning research.
- Contribute to the development of AI strategy and roadmap.
- Troubleshoot and resolve issues related to ML models and systems.
- Master's or Ph.D. in Computer Science, AI, ML, or a related quantitative field.
- Proven experience in developing and deploying machine learning models.
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP).
- Strong understanding of statistical modeling and data analysis techniques.
- Excellent problem-solving and analytical skills.
- Ability to work effectively in a fully remote team environment.
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Senior AI/ML Engineer
Posted today
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Key Responsibilities:
- Design, develop, and implement AI/ML models and algorithms.
- Perform data preprocessing, feature engineering, and model evaluation.
- Deploy ML models into production environments.
- Collaborate with cross-functional teams on AI initiatives.
- Stay up-to-date with the latest advancements in AI/ML research.
- Optimize model performance and scalability.
- Contribute to the development of AI strategy and roadmap.
- Mentor junior engineers and share technical expertise.
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Lead AI/ML Engineer
Posted today
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Qualifications:
- 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 AI/ML models.
- Proven experience in leading AI/ML projects and teams.
- Expertise in programming languages such as Python, with libraries like TensorFlow, PyTorch, scikit-learn.
- Strong understanding of various ML algorithms (supervised, unsupervised, deep learning).
- Experience with big data technologies and distributed computing frameworks.
- Familiarity with cloud ML services and MLOps practices.
- Excellent problem-solving, analytical, and critical-thinking skills.
- Strong communication and interpersonal skills, with the ability to mentor and guide a team.
- Experience in deploying models into production environments.
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Senior AI/ML Engineer
Posted 1 day ago
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Key Responsibilities:
- Design, develop, and implement advanced machine learning models and AI algorithms.
- Conduct research on new AI/ML techniques and their potential applications.
- Build and maintain robust data pipelines for model training and evaluation.
- Perform feature engineering, data analysis, and model optimization.
- Deploy ML models into production environments and monitor their performance.
- Collaborate with cross-functional teams to integrate AI solutions into existing products and services.
- Stay current with the latest advancements in AI and machine learning research.
- Develop and mentor junior AI/ML engineers.
- Write clean, efficient, and well-documented code.
- Contribute to the strategic direction of AI initiatives within the company.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 5 years of hands-on experience in developing and deploying AI/ML models.
- Proficiency in Python and extensive experience with ML libraries and frameworks (TensorFlow, PyTorch, scikit-learn, Keras).
- Strong understanding of machine learning algorithms, deep learning architectures, and statistical modeling.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to explain complex technical concepts.
- Proven ability to work independently and as part of a distributed team.
Join our client and be part of a pioneering team shaping the future of artificial intelligence.
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Senior AI/ML Engineer
Posted 1 day ago
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Lead AI/ML Engineer
Posted 1 day ago
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Key Responsibilities:
- Lead the design, development, and implementation of advanced AI/ML models and algorithms.
- Build and maintain scalable machine learning pipelines for data preprocessing, feature engineering, model training, and deployment.
- Utilize deep learning frameworks (e.g., TensorFlow, PyTorch) to develop state-of-the-art AI solutions.
- Conduct research on new AI/ML techniques and assess their applicability to business problems.
- Collaborate with data scientists, software engineers, and product managers to integrate AI/ML solutions into products and services.
- Optimize model performance, scalability, and efficiency.
- Develop and implement strategies for data collection, labeling, and management.
- Mentor junior AI/ML engineers and foster a culture of technical excellence.
- Stay abreast of the latest advancements in AI, machine learning, and related fields.
- Present technical findings and recommendations to stakeholders.
- Ensure the ethical and responsible development of AI systems.
- Contribute to the company's AI strategy and roadmap.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 7 years of experience in developing and deploying AI/ML models in production environments.
- Proven expertise in various machine learning algorithms (e.g., regression, classification, clustering, reinforcement learning) and deep learning architectures (e.g., CNNs, RNNs, Transformers).
- Proficiency in programming languages such as Python, and experience with ML libraries (e.g., Scikit-learn, Keras, Hugging Face).
- Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
- Strong understanding of data engineering principles and big data technologies (e.g., Spark, Hadoop).
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership and mentoring abilities.
- Exceptional communication and collaboration skills, with the ability to explain complex technical concepts to non-technical audiences.
- Experience with MLOps practices and tools.
- Published research in top-tier AI/ML conferences or journals is a significant plus.
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Remote AI/ML Engineer
Posted 2 days ago
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Key Responsibilities:
- Design, build, and maintain machine learning models and algorithms.
- Develop and implement data preprocessing and feature engineering pipelines.
- Train, evaluate, and fine-tune ML models for optimal performance.
- Deploy ML models into production environments, ensuring scalability and reliability.
- Collaborate with data scientists and engineers to integrate ML models into applications.
- Stay current with AI/ML research, techniques, and technologies.
- Identify opportunities to apply AI/ML solutions to business problems.
- Develop and maintain documentation for ML models and processes.
- Participate in code reviews and contribute to best practices in AI/ML development.
- Troubleshoot and resolve issues related to ML model performance and deployment.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- 3+ years of hands-on experience in developing and deploying ML models.
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn, Keras).
- Strong understanding of statistical modeling, algorithms, and data mining techniques.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Familiarity with cloud ML platforms (e.g., AWS SageMaker, Azure ML, Google AI Platform).
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work effectively in a fully remote, collaborative team environment.
- Strong communication skills, with the ability to explain complex technical concepts clearly.
- Experience with MLOps and CI/CD pipelines for ML is desirable.
- Knowledge of the emerging tech landscape in the Northern region is beneficial.
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Lead AI/ML Engineer
Posted 3 days ago
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Requirements:
- Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
- 10+ years of experience in machine learning, with at least 3 years in a leadership role.
- Extensive experience in building and deploying production-grade ML models and AI systems.
- Proficiency in Python and major ML libraries/frameworks.
- Strong understanding of MLOps principles and practices.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent leadership, problem-solving, and communication skills.
- Proven ability to work effectively in a fully remote, collaborative environment.
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Principal AI/ML Engineer
Posted 4 days ago
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The ideal candidate will possess extensive experience in various machine learning domains, including deep learning, natural language processing, computer vision, and reinforcement learning. You will lead technical initiatives, mentor junior engineers, and collaborate with cross-functional teams to bring AI products from concept to production. This position demands exceptional programming skills (Python, etc.), deep expertise in ML frameworks (TensorFlow, PyTorch), and a strong understanding of MLOps practices. Your contributions will directly impact the trajectory of our client's AI research and product development.
Key Responsibilities:
- Lead the design, development, and implementation of complex AI and machine learning models.
- Research, evaluate, and apply state-of-the-art ML algorithms and techniques to solve business problems.
- Develop and maintain scalable ML pipelines for data preprocessing, model training, evaluation, and deployment.
- Collaborate with data scientists, software engineers, and product managers to integrate ML solutions into products and services.
- Optimize model performance, efficiency, and scalability for production environments.
- Mentor and guide junior AI/ML engineers, fostering a culture of technical excellence.
- Stay current with the latest advancements in AI/ML research and industry best practices.
- Contribute to the company's intellectual property through publications and patents.
- Design and implement A/B testing frameworks for ML models.
- Ensure the ethical and responsible development and deployment of AI systems.
- Contribute to the strategic direction of the AI/ML team and product roadmap.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 8-10 years of hands-on experience in developing and deploying ML models in production environments.
- Proven expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python, including proficiency with libraries like NumPy, Pandas, and Scikit-learn.
- Experience with MLOps tools and practices for model lifecycle management (e.g., MLflow, Kubeflow).
- Demonstrated experience in at least one of the following areas: NLP, Computer Vision, Reinforcement Learning, or Recommender Systems.
- Excellent understanding of data structures, algorithms, and software engineering principles.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills, with the ability to explain complex technical concepts.
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