455 Ml Engineer 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.
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.
Remote Lead AI/ML Engineer - Deep Learning
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As the Lead AI/ML Engineer, you will be responsible for designing and implementing sophisticated deep learning architectures, training complex models using large datasets, and optimizing their performance for real-world applications. Your expertise will be crucial in areas such as natural language processing (NLP), computer vision, and predictive analytics. You will also play a key role in evaluating new AI technologies, developing intellectual property, and mentoring junior engineers. Collaboration with cross-functional teams, including data scientists, software engineers, and product managers, will be essential to translate research concepts into production-ready systems.
The ideal candidate possesses a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, along with a minimum of 7 years of experience in AI/ML development, with a significant focus on deep learning. Proven experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras is mandatory. You must demonstrate strong programming skills in Python, proficiency in data manipulation and analysis libraries (e.g., NumPy, Pandas), and experience with cloud platforms (AWS, Azure, GCP) and MLOps practices. Excellent leadership, communication, and problem-solving skills are essential, as is the ability to thrive in a fully remote, collaborative environment.
Responsibilities:
- Lead the research and development of advanced AI/ML models.
- Design and implement deep learning architectures for various applications.
- Train and optimize models using large datasets.
- Develop expertise in NLP, computer vision, or other AI domains.
- Collaborate with data scientists and software engineers.
- Evaluate and integrate new AI technologies and tools.
- Mentor and guide junior AI/ML engineers.
- Contribute to the development of AI-related intellectual property.
- Ensure scalability, efficiency, and ethical considerations in AI solutions.
- Stay at the forefront of AI research and innovation.
- Master's or Ph.D. in Computer Science, AI, ML, or related field.
- Minimum 7 years of experience in AI/ML development, with deep learning specialization.
- Proficiency in deep learning frameworks (TensorFlow, PyTorch, Keras).
- Strong programming skills in Python.
- Experience with cloud ML platforms and MLOps.
- Expertise in data analysis and model evaluation.
- Excellent leadership, communication, and problem-solving skills.
- Ability to work effectively in a fully remote team.
- Proven track record of delivering AI solutions.
AI/ML Engineer
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AI/ML Engineer
Posted today
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- Design, develop, and deploy machine learning models and algorithms.
- Build and maintain scalable ML pipelines and infrastructure.
- Perform data analysis, feature engineering, and model evaluation.
- Collaborate with cross-functional teams to integrate ML solutions into products.
- Stay up-to-date with the latest AI/ML research and technologies.
- Optimize model performance and ensure scalability.
- Write clean, efficient, and well-documented code.
- Master's or Ph.D. in Computer Science, AI, Machine Learning, or a related field.
- Proven experience in developing and deploying ML models.
- Strong programming skills in Python and experience with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with cloud platforms (AWS, Azure, GCP).
- Solid understanding of statistical modeling, data mining, and algorithms.
- Excellent problem-solving and analytical skills.
Senior AI/ML Engineer
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Senior AI/ML Engineer
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Job Description
Key Responsibilities:
- Designing, developing, and implementing machine learning algorithms and AI models.
- Preprocessing and cleaning large datasets for model training and evaluation.
- Selecting appropriate ML algorithms and frameworks based on project requirements.
- Training, evaluating, and fine-tuning ML models to optimize performance.
- Deploying AI/ML models into production environments and monitoring their performance.
- Collaborating with cross-functional teams to integrate AI solutions into existing products and services.
- Conducting research on new AI techniques and technologies to identify potential applications.
- Developing and maintaining robust code, documentation, and MLOps pipelines.
- Identifying opportunities to leverage AI/ML for business growth and operational efficiency.
- Staying abreast of the latest advancements in the AI and machine learning landscape.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of professional experience in AI/ML engineering or data science.
- Proficiency in programming languages such as Python, R, or Java.
- Expertise with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Strong understanding of data structures, algorithms, and statistical modeling.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills to work effectively in a remote team.
- Experience with natural language processing (NLP) or computer vision is a plus.
This is a unique chance to be a part of a revolutionary technology shift, working on challenging and impactful AI projects in a fully remote setting. If you are a passionate AI/ML expert looking to make a significant contribution, we encourage you to apply.
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Senior AI/ML Engineer
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Key responsibilities include:
- Designing, developing, and implementing state-of-the-art machine learning algorithms and AI models.
- Conducting research on new AI techniques and technologies to identify potential applications.
- Performing data mining, cleaning, and feature engineering on large datasets.
- Training, evaluating, and optimizing machine learning models for performance and scalability.
- Deploying AI/ML models into production environments using cloud platforms (e.g., AWS, Azure, GCP).
- Collaborating with software engineering teams to integrate AI models into existing applications.
- Developing and maintaining MLOps pipelines for continuous integration and deployment.
- Staying abreast of the latest advancements in AI, machine learning, and deep learning.
- Mentoring junior engineers and contributing to the team's technical growth.
- Writing clean, well-documented, and efficient code in languages such as Python.
- Presenting technical findings and insights to stakeholders.
- Ensuring the ethical and responsible development of AI systems.
The ideal candidate possesses a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with at least 5 years of hands-on experience in AI/ML development. Proven experience in building and deploying production-ready ML models is essential. Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) is required. Experience with cloud platforms and MLOps tools is highly desirable. Strong analytical, problem-solving, and critical thinking skills are crucial. Excellent communication and collaboration skills are necessary to work effectively in a remote team environment. This is an exceptional opportunity for a forward-thinking AI/ML professional to contribute to groundbreaking technological advancements.
Senior AI/ML Engineer
Posted today
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Job Description
Senior AI/ML Engineer
Posted today
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Job Description
Responsibilities:
- Design, develop, and deploy AI/ML models and algorithms.
- Process and analyze large datasets for model training.
- Implement state-of-the-art ML techniques.
- Optimize model performance and scalability.
- Collaborate with data scientists and engineers in a remote setting.
- Develop and maintain MLOps pipelines.
- Research emerging AI/ML technologies and methodologies.
- Communicate findings and model insights effectively.
- Ensure responsible and ethical AI practices.
- Master's or Ph.D. in Computer Science, Data Science, AI, or related field.
- 5+ years of experience in AI/ML engineering.
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
- Strong understanding of ML algorithms, statistics, and mathematics.
- Experience with cloud platforms (AWS, Azure, GCP).
- Familiarity with MLOps practices and tools.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities in a remote environment.
- Experience with big data technologies is a plus.