824 Machine Learning jobs in Manama
Machine Learning Engineer
Posted 6 days ago
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Key Responsibilities:
- Design, develop, and implement machine learning models and algorithms.
- Process, clean, and transform large datasets for ML applications.
- Train, evaluate, and optimize ML models for performance and accuracy.
- Collaborate with cross-functional teams to define and deploy ML solutions.
- Stay current with advancements in AI and machine learning research.
- Develop and maintain production-level ML pipelines.
- Communicate technical findings and insights to stakeholders.
- Contribute to the development of the company's AI strategy.
- Master's or Ph.D. in Computer Science, Data Science, or a related quantitative field.
- Proven experience in developing and deploying machine learning models.
- Strong programming skills in Python and proficiency with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with data manipulation and analysis tools.
- Knowledge of statistical modeling and data mining techniques.
- Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies.
- Excellent problem-solving and analytical abilities.
- Strong communication and interpersonal skills.
Machine Learning Engineer
Posted 24 days ago
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In this exciting position, you will work with large datasets, applying advanced algorithms and techniques to solve complex problems. Your responsibilities will span the entire machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment. You will collaborate closely with data scientists, software engineers, and product managers to bring innovative AI-powered features to life. We are looking for a candidate with a strong theoretical foundation in machine learning, practical experience in implementing models, and a passion for staying abreast of the latest advancements in AI.
Key responsibilities include:
- Developing and implementing machine learning algorithms and models using Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Processing and analyzing large datasets to extract meaningful features and insights.
- Designing, training, and evaluating machine learning models for various applications.
- Deploying machine learning models into production environments.
- Collaborating with software engineers to integrate ML models into existing systems and applications.
- Conducting research on new AI and ML techniques and exploring their potential applications.
- Monitoring and maintaining deployed models, iterating as needed.
- Communicating complex technical concepts and results to both technical and non-technical stakeholders.
- Staying current with academic research and industry trends in machine learning and AI.
- Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience.
- Proven experience in building and deploying machine learning models.
- Strong programming skills in Python and expertise in ML libraries.
- Solid understanding of machine learning algorithms, statistical modeling, and data mining techniques.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps principles.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Ability to work effectively in a hybrid work environment.
Machine Learning Engineer
Posted 24 days ago
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Job Description
Key Responsibilities:
- Develop, train, and evaluate machine learning models using various algorithms and techniques.
- Implement and optimize ML pipelines for data preprocessing, feature engineering, model training, and deployment.
- Collaborate with data scientists to understand model requirements and performance metrics.
- Build and maintain scalable ML infrastructure and systems.
- Deploy ML models into production environments, ensuring their reliability and efficiency.
- Monitor model performance in production and implement necessary updates or retrainings.
- Work with large datasets, ensuring data quality and integrity for ML applications.
- Contribute to the design and architecture of AI-powered products and services.
- Stay current with the latest advancements in machine learning and artificial intelligence research.
- Write clean, well-documented, and maintainable code.
- Troubleshoot and resolve issues related to ML models and systems.
- Collaborate with software engineers to integrate ML models into existing applications.
- Present findings and results to technical and non-technical stakeholders.
- Contribute to the company's strategy for leveraging AI and machine learning.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field.
- 2+ years of professional experience in machine learning engineering or a similar role.
- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.
- Solid understanding of various ML algorithms (e.g., regression, classification, clustering, deep learning).
- Experience with data processing and manipulation tools (e.g., Pandas, Spark).
- Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services.
- Knowledge of MLOps principles and practices is a plus.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Ability to work effectively in a fast-paced, collaborative office environment.
Senior Machine Learning Engineer
Posted 2 days ago
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Senior Machine Learning Engineer
Posted 6 days ago
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Principal Machine Learning Engineer
Posted 6 days ago
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Job Description
Key responsibilities include:
- Designing, building, and maintaining scalable machine learning systems and infrastructure.
- Developing and optimizing ML algorithms for various applications.
- Implementing and managing MLOps pipelines for continuous integration, delivery, and monitoring of ML models.
- Collaborating with data scientists and software engineers to translate research into production-ready solutions.
- Leading the technical direction for ML projects and providing architectural guidance.
- Mentoring and guiding junior machine learning engineers.
- Evaluating and integrating new ML technologies and tools.
- Ensuring the performance, scalability, and reliability of ML models in production.
- Troubleshooting and resolving complex technical issues related to ML systems.
- Staying up-to-date with the latest advancements in machine learning and AI.
- Contributing to the company's intellectual property and technical roadmap.
- Writing clean, efficient, and well-documented code.
The ideal candidate will possess a Master's or Ph.D. in Computer Science, Machine Learning, or a related field, with a minimum of 8 years of hands-on experience in machine learning engineering. Proven experience in building and deploying large-scale ML models in production environments is essential. Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, or scikit-learn is required. Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) is highly valued. Excellent problem-solving, analytical, and communication skills are mandatory. This is an outstanding opportunity for an experienced ML Engineer to take on a leadership role and make a significant impact on the company's AI initiatives.
Senior Machine Learning Engineer
Posted 8 days ago
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Senior Machine Learning Engineer
Posted 9 days ago
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Lead Machine Learning Engineer
Posted 11 days ago
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Lead Machine Learning Engineer
Posted 13 days ago
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