What Jobs are available for Machine Learning Algorithms in Bahrain?
Showing 1817 Machine Learning Algorithms jobs in Bahrain
Machine Learning Engineer
BHD60000 - BHD120000 Y
Apt Resources
Posted today
Job Viewed
Job Description
Apt Resources is seeking an experienced Machine Learning Engineer for a client in Abu Dhabi's Government & Public Sector. In this role, you will design and deploy cutting-edge AI/ML solutions using Large Language Models (LLMs) like GPT, Llama, and BERT to drive innovation in public services.
This is an exciting opportunity to work on high-impact projects involving Retrieval-Augmented Generation (RAG), fine-tuning, and prompt engineering, ensuring secure, scalable, and compliant AI systems for government applications.
Key Responsibilities:- Develop and optimize AI/ML pipelines for LLMs, focusing on RAG architectures, fine-tuning, and prompt engineering tailored for public sector needs.
- Implement scalable solutions using Python, LangChain, HuggingFace, PyTorch/TensorFlow, and cloud-based ML services (Azure ML preferred).
- Integrate vector/graph databases (Weaviate, Neo4j) into production systems to enhance data retrieval and analysis.
- Deploy and monitor models in production, ensuring adherence to government security and compliance standards.
- Collaborate with cross-functional teams to align AI solutions with public sector objectives (e.g., citizen services, data governance, operational efficiency).
- 6-14 years of hands-on experience in AI/ML, with a strong focus on LLMs and GenAI.
- Expertise in LLM architectures (Transformers), prompt engineering, and RAG implementations.
- Proficiency in Python and ML frameworks (LangChain, LlamaIndex, HuggingFace, Scikit-learn).
- Experience with cloud platforms (Azure ML, AWS, or GCP) and MLOps tools (MLflow, model monitoring).
- Familiarity with vector databases, ETL pipelines, and unstructured data handling.
- Knowledge of government IT standards or secure deployments is a plus.
To be discussed
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0
Machine Learning Engineer
2100 Arad
BHD95000 Annually
WhatJobs Direct
Posted today
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Job Description
Our client is at the forefront of AI and Emerging Technologies, and they are seeking a talented Machine Learning Engineer to join their innovative team. This hybrid role allows for a balance between collaborative in-office work and remote flexibility, enabling you to contribute to cutting-edge projects. You will be responsible for designing, developing, and deploying machine learning models that solve complex business problems. This includes data preprocessing, feature engineering, model training, evaluation, and deployment into production environments. The ideal candidate will have a strong foundation in computer science, statistics, and machine learning algorithms, coupled with hands-on experience with relevant programming languages and frameworks. You will work closely with data scientists, software engineers, and product managers to bring AI-driven solutions to life. This role demands a passion for innovation, a strong problem-solving aptitude, and the ability to translate theoretical concepts into practical, scalable applications.
Responsibilities:
Responsibilities:
- Design, develop, and implement machine learning models and algorithms.
- Preprocess, clean, and analyze large datasets for model training.
- Perform feature engineering and selection to enhance model performance.
- Train, evaluate, and optimize machine learning models.
- Deploy models into production environments and monitor their performance.
- Collaborate with data scientists and software engineers on AI initiatives.
- Research and stay current with the latest advancements in machine learning and AI.
- Develop and maintain ML pipelines and infrastructure.
- Troubleshoot and debug machine learning systems.
- Document model designs, methodologies, and results.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Statistics, or a related field.
- 3-5 years of experience in machine learning engineering or a similar role.
- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Strong understanding of various machine learning algorithms (e.g., supervised, unsupervised, deep learning).
- Experience with cloud platforms (AWS, Azure, GCP) for ML development is desirable.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Experience in MLOps and model deployment is a significant advantage.
- Ability to work effectively in a hybrid work environment.
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1
Machine Learning Engineer
2138 Askar, Southern
BHD100000 Annually
WhatJobs
Posted 1 day ago
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Job Description
Our client is at the forefront of AI innovation and is seeking a talented Machine Learning Engineer to join our dedicated team. This is a fantastic opportunity to apply your expertise in machine learning to develop and deploy cutting-edge AI solutions that solve real-world business problems. You will work closely with data scientists and software engineers to build, test, and scale robust ML models and pipelines.
Responsibilities:
Responsibilities:
- Design, build, and maintain production-ready machine learning models and pipelines.
- Collaborate with data scientists to translate ML models into scalable software solutions.
- Develop and implement strategies for data preprocessing, feature engineering, and model training.
- Optimize ML algorithms for performance, efficiency, and scalability.
- Deploy ML models into production environments and monitor their performance over time.
- Work with software engineering teams to integrate ML capabilities into existing products and services.
- Develop automated testing and validation procedures for ML models.
- Stay current with the latest advancements in machine learning, deep learning, and MLOps.
- Troubleshoot and resolve issues related to model performance and data integrity.
- Contribute to the continuous improvement of our ML infrastructure and best practices.
- Document ML models, code, and deployment processes clearly.
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field.
- Minimum of 3 years of experience as a Machine Learning Engineer or in a similar role.
- Strong programming skills in Python and experience with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Proficiency in data manipulation and analysis tools (e.g., Pandas, SQL).
- Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
- Familiarity with MLOps principles and tools for model deployment and monitoring.
- Solid understanding of machine learning algorithms and statistical modeling.
- Excellent problem-solving and analytical skills.
- Good communication skills and ability to work effectively in a team environment.
- Experience with big data technologies (e.g., Spark) is a plus.
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2
Machine Learning Engineer
2004 Tubli
BHD6800 Monthly
WhatJobs
Posted 3 days ago
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Job Description
Our client, a leader in applied AI solutions, is actively recruiting a talented Machine Learning Engineer for its advanced development center in Isa Town, Southern, BH . This role focuses on translating cutting-edge research into robust, scalable AI products and services. You will be instrumental in designing, building, and deploying machine learning models that solve real-world business problems. The ideal candidate possesses a strong blend of theoretical knowledge in machine learning and practical software engineering skills, with a proven ability to work with large datasets and production systems.
Responsibilities:
Responsibilities:
- Develop, implement, and deploy machine learning models and algorithms for various applications.
- Design and build data pipelines for training, testing, and deploying ML models efficiently.
- Collaborate with data scientists and researchers to productionize research prototypes.
- Optimize ML models for performance, scalability, and efficiency in production environments.
- Implement and maintain MLOps practices, including model monitoring, versioning, and automated retraining.
- Work with large, complex datasets, ensuring data quality and integrity.
- Develop APIs and services to integrate ML models into existing applications and platforms.
- Evaluate and select appropriate ML frameworks, tools, and technologies.
- Troubleshoot and debug ML systems, identifying and resolving issues in production.
- Stay up-to-date with the latest advancements in machine learning and software engineering best practices.
- Document ML models, pipelines, and deployment processes.
- Contribute to the overall architecture and design of AI-powered solutions.
- Collaborate with software engineers to integrate ML components into larger systems.
- Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related quantitative field, or equivalent practical experience.
- Proven experience as a Machine Learning Engineer or in a similar role focused on deploying ML models.
- Strong programming skills in Python and proficiency with ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Keras).
- Experience with cloud platforms (AWS, Azure, GCP) and associated ML services.
- Solid understanding of software development best practices, including version control (Git), CI/CD, and testing.
- Experience with data processing frameworks (e.g., Spark, Dask) and database technologies.
- Knowledge of MLOps principles and tools is highly desirable.
- Excellent analytical and problem-solving skills.
- Strong communication and teamwork abilities.
- Ability to work effectively in a fast-paced, collaborative environment.
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3
Machine Learning Engineer
1001 Busaiteen, Muharraq
BHD80000 Annually
WhatJobs
Posted 8 days ago
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Job Description
Our client is looking for a talented and innovative Machine Learning Engineer to join their expanding AI division. This hybrid role combines the flexibility of remote work with essential in-office collaboration, allowing you to contribute to groundbreaking projects. You will be responsible for designing, developing, and deploying machine learning models that drive significant business impact. This includes data preprocessing, feature engineering, model training, evaluation, and implementation into production systems. The ideal candidate possesses a strong theoretical understanding of machine learning algorithms and practical experience with ML frameworks and libraries. You will work closely with data scientists and software engineers to integrate ML models into applications and ensure their performance and scalability. Key responsibilities involve experimenting with different algorithms and approaches, optimizing model performance, and developing robust MLOps pipelines for continuous integration and deployment. A passion for staying abreast of the latest advancements in AI and ML is crucial. This role requires strong programming skills, particularly in Python, and experience with cloud platforms and big data technologies. The ability to work both independently and as part of a collaborative team is essential for success in this hybrid environment. You will play a key role in building intelligent systems that address complex challenges. Your contributions will directly influence the development of next-generation AI-powered products. The role is based in **Busaiteen, Muharraq, BH**, with a structured hybrid work schedule. A dedicated workspace and reliable internet are necessary for remote working days.
Location: Busaiteen, Muharraq, BH
Location: Busaiteen, Muharraq, BH
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4
Machine Learning Engineer
450 Arad
BHD90000 Annually
WhatJobs
Posted 8 days ago
Job Viewed
Job Description
Our client is seeking a talented and innovative Machine Learning Engineer to join their cutting-edge AI and Emerging Technologies division. This role offers a unique opportunity to work on groundbreaking projects that leverage artificial intelligence to solve complex real-world problems. You will be responsible for designing, developing, and deploying machine learning models, from conception through to production. This involves data preprocessing, feature engineering, model training, evaluation, and optimization. The ideal candidate will have a strong background in computer science, statistics, and machine learning algorithms. Proficiency in programming languages such as Python, R, or Java, and experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn are essential. You will collaborate closely with data scientists, software engineers, and product managers to translate business requirements into effective AI solutions. Responsibilities include staying abreast of the latest advancements in AI and ML research, experimenting with new techniques, and contributing to the overall AI strategy of the organization. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop) is highly desirable. This role requires excellent analytical and problem-solving skills, a strong ability to work with large datasets, and a passion for innovation. You will be instrumental in building scalable and robust ML systems that drive business value. The ability to communicate complex technical concepts to non-technical stakeholders is also crucial. This position is based in **Hidd, Muharraq, BH**, with a hybrid work arrangement offering flexibility.
Key Responsibilities:
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.
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5
Machine Learning Engineer
710 Durrat Al Bahrain
BHD105000 Annually
WhatJobs
Posted 16 days ago
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Job Description
Our client is looking for a talented and innovative Machine Learning Engineer to join their rapidly growing team focused on AI & Emerging Technologies in Isa Town, Southern, BH . This role is instrumental in designing, developing, and deploying machine learning models and algorithms that drive intelligent solutions. You will be responsible for the entire ML lifecycle, from data collection and preprocessing to model training, evaluation, and deployment. Key tasks include researching and implementing state-of-the-art ML techniques, building robust data pipelines, optimizing model performance, and collaborating with software engineers to integrate ML capabilities into products and services. We are seeking individuals with a strong foundation in statistical modeling, machine learning algorithms (e.g., deep learning, reinforcement learning, supervised/unsupervised learning), and programming languages such as Python. Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn is essential. Proficiency in data manipulation and analysis tools, as well as experience with cloud platforms (AWS, Azure, GCP) and big data technologies, is highly desirable. Excellent analytical, problem-solving, and communication skills are critical for translating complex technical concepts into actionable insights. A Master's or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field is preferred, along with a proven track record of building and deploying ML models. This is a hybrid role, offering a dynamic blend of in-office collaboration and remote flexibility. If you are passionate about pushing the boundaries of AI and creating impactful intelligent systems, we encourage you to apply.
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6
Machine Learning Engineer
501 Al Markh
BHD85000 Annually
WhatJobs
Posted 17 days ago
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Job Description
Join an innovative tech company as a Machine Learning Engineer, contributing to cutting-edge AI and emerging technology projects. This fully remote role offers the chance to work on challenging problems and develop sophisticated machine learning models. You will be responsible for designing, building, and deploying ML systems, as well as collaborating with data scientists and software engineers to integrate AI solutions into our product offerings. Key responsibilities include data preprocessing, feature engineering, model training, evaluation, and optimization. You will also stay abreast of the latest research and advancements in the field of artificial intelligence and machine learning. The ideal candidate will have a strong background in computer science, statistics, or a related quantitative field, with proven experience in developing and implementing machine learning algorithms. Proficiency in programming languages such as Python, along with experience in ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) and cloud platforms (e.g., AWS, Azure, GCP), is essential. Experience with large-scale data processing and distributed computing is highly desirable. This role is based remotely, supporting advancements impacting the technological landscape near Tubli, Capital, BH . We are looking for a creative and analytical individual who is passionate about leveraging AI to solve real-world problems and drive innovation. You will play a crucial role in shaping the future of our AI initiatives.
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7
Machine Learning Engineer
567 Al Seef
BHD60000 Annually
WhatJobs
Posted 25 days ago
Job Viewed
Job Description
Our client is at the forefront of AI innovation and is seeking a talented Machine Learning Engineer to join their pioneering team. This role, based in **Salmabad, Northern, Bahrain**, offers a hybrid work model, blending collaborative office days with the flexibility of remote work. You will be instrumental in designing, developing, and deploying sophisticated machine learning models that drive cutting-edge solutions and provide a competitive advantage.
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:
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.
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8
Senior Machine Learning Engineer
109 Seef, Capital
BHD90000 Annually
WhatJobs Direct
Posted today
Job Viewed
Job Description
Our client, a leader in innovative technology solutions in Seef, Capital, BH , is seeking a highly skilled Senior Machine Learning Engineer. This role is central to the development and implementation of advanced AI models that drive our client's product and service offerings. You will be responsible for designing, building, testing, and deploying sophisticated machine learning systems, working with large datasets and cutting-edge algorithms. The ideal candidate will have a Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field, with significant professional experience in machine learning engineering. Key responsibilities include developing predictive models, implementing natural language processing (NLP) techniques, conducting A/B testing on model performance, and collaborating with software engineers to integrate ML models into production systems. Proficiency in programming languages such as Python, with extensive experience in ML libraries (e.g., TensorFlow, PyTorch, scikit-learn), is essential. You will also be involved in data preprocessing, feature engineering, and model optimization to ensure performance and scalability. This position requires strong analytical and problem-solving skills, as well as the ability to work effectively in a fast-paced, collaborative environment. You will contribute to architectural decisions and mentor junior engineers, playing a key role in advancing our client's AI capabilities. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark) is highly desirable. This is a fantastic opportunity for a talented ML engineer to tackle complex challenges and shape the future of AI-driven products.
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9