What Jobs are available for Ml Engineer in Bahrain?
Showing 1309 Ml Engineer jobs in Bahrain
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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                    Principal AI/ML Engineer - Deep Learning
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Lead the design, development, and implementation of state-of-the-art deep learning models for various applications.
- Conduct cutting-edge research in AI and machine learning to identify new opportunities and drive innovation.
- Develop and optimize algorithms for large-scale data processing and model training.
- Deploy ML models into production environments, ensuring scalability, reliability, and performance.
- Collaborate with cross-functional teams (product, engineering, research) to define AI requirements and integrate ML solutions.
- Mentor junior AI/ML engineers and provide technical guidance.
- Stay current with the latest research papers, techniques, and industry trends in deep learning and AI.
- Evaluate and select appropriate tools, frameworks, and technologies for ML development and deployment.
- Develop strategies for model monitoring, maintenance, and continuous improvement.
- Communicate complex technical concepts effectively to both technical and non-technical stakeholders.
- Contribute to the company's intellectual property through publications, patents, or open-source contributions.
- Ensure ethical considerations and fairness are integrated into AI model development.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- 7+ years of hands-on experience in developing and deploying deep learning models in production.
- Expertise in Python and proficiency with major ML frameworks (TensorFlow, PyTorch, Keras, scikit-learn).
- Deep understanding of various deep learning architectures (e.g., CNNs, RNNs, LSTMs, Transformers).
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Proficiency in MLOps practices and tools (e.g., MLflow, Kubeflow, CI/CD for ML).
- Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
- Strong mathematical background (linear algebra, calculus, probability, statistics).
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, with experience working effectively in remote teams.
- Track record of publications in top-tier AI/ML conferences or journals is highly desirable.
This is a premier opportunity to lead advanced AI initiatives in a collaborative, fully remote setting.
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                    Senior AI/ML Engineer (Deep Learning)
Posted 3 days ago
Job Viewed
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 15 days ago
Job Viewed
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
Job Viewed
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 17 days ago
Job Viewed
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 22 days ago
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Job Description
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Senior AI/ML Engineer - Deep Learning Specialist - Remote
Posted 18 days ago
Job Viewed
Job Description
Responsibilities:
- Design, develop, and implement state-of-the-art deep learning models for various applications.
- Conduct research and stay up-to-date with the latest advancements in AI and ML, particularly in deep learning.
- Process, clean, and prepare large datasets for model training.
- Train, evaluate, and fine-tune deep learning models using frameworks like TensorFlow, PyTorch, or Keras.
- Deploy AI models into production environments and monitor their performance.
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers.
- Optimize model performance for efficiency and scalability.
- Develop robust MLOps pipelines for model versioning, deployment, and monitoring.
- Contribute to the technical roadmap and strategy for AI initiatives.
- Mentor junior engineers and share knowledge within the team.
- Document algorithms, methodologies, and findings thoroughly.
- Present technical findings and insights to both technical and non-technical stakeholders.
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of professional experience in AI/ML engineering, with a strong focus on deep learning.
- Proven experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in Python and relevant ML libraries (e.g., Scikit-learn, Pandas, NumPy).
- Experience with cloud platforms (AWS, Azure, GCP) and ML services.
- Strong understanding of computer vision, natural language processing (NLP), or other relevant AI domains.
- Experience with MLOps practices and tools.
- Excellent problem-solving, analytical, and algorithmic thinking skills.
- Strong communication and collaboration skills, essential for a remote team environment.
- Experience with big data technologies is a plus.
- Ability to work independently and manage complex projects in a remote setting.
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                    Remote Lead AI/ML Engineer - Deep Learning Models
Posted 27 days ago
Job Viewed
Job Description
Key Responsibilities:
- Lead the design, development, and implementation of state-of-the-art AI/ML models.
- Architect scalable and robust machine learning systems for production environments.
- Mentor and guide a team of AI/ML engineers, fostering a collaborative and innovative culture.
- Research and evaluate new AI/ML technologies, algorithms, and methodologies.
- Collaborate with data scientists to define data requirements and feature engineering strategies.
- Oversee the entire model lifecycle, from experimentation and training to deployment and monitoring.
- Develop and implement best practices for MLOps, ensuring efficient model management and deployment.
- Present complex technical concepts and findings to both technical and non-technical stakeholders.
- Contribute to the company's intellectual property through patents and publications.
- Ensure the ethical development and deployment of AI systems, considering fairness and bias.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 8 years of experience in AI/ML engineering, with at least 3 years in a lead or senior role.
- Proven expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and related libraries.
- Strong proficiency in Python and experience with machine learning libraries (e.g., Scikit-learn, Keras).
- Experience deploying and managing ML models in cloud environments (e.g., AWS, Azure, GCP).
- Solid understanding of algorithms, data structures, and software engineering principles.
- Demonstrated ability to lead technical projects and mentor teams effectively.
- Excellent problem-solving, communication, and presentation skills.
- Experience with MLOps tools and practices is highly desirable.
- Publications in top-tier AI/ML conferences or journals are a strong plus.
This is an exceptional remote opportunity for a driven AI leader to shape the future of technology, contributing from anywhere while impacting projects based in Manama, Capital, BH .
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                    AI/ML Engineer
Posted 9 days ago
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Job Description
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