1 116 Machine Learning jobs in Bahrain
Machine Learning Engineer
BHD60000 - BHD120000 Y
Apt Resources
Posted today
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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
567 Al Seef
BHD60000 Annually
WhatJobs
Posted 4 days 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 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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1
Machine Learning Engineer
90250 Manama, Capital
BHD100000 Annually
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Posted 4 days ago
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Job Description
Our client is seeking a talented Machine Learning Engineer to join their cutting-edge AI development team. This role is based in our office in Manama, Capital, BH . You will be instrumental in designing, building, and deploying machine learning models and systems that drive innovative solutions. The ideal candidate has a strong foundation in machine learning algorithms, excellent programming skills, and a passion for translating complex data into actionable insights. You will work closely with data scientists, software engineers, and product managers to bring AI-powered features to life.
Key Responsibilities:
Qualifications:
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.
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2
Machine Learning Engineer
99999 Zallaq, Southern
BHD110000 Annually
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Posted 4 days ago
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Job Description
Our client is seeking an innovative and highly skilled Machine Learning Engineer to join their cutting-edge AI and Emerging Technologies division in Zallaq, Southern, BH . This role is central to developing, implementing, and deploying advanced machine learning models and algorithms that solve complex business problems and drive innovation. You will work with large datasets, design experiments, and build robust ML pipelines to support research and product development. The ideal candidate possesses a strong background in computer science, statistics, and machine learning, with hands-on experience in deploying models into production environments. You will collaborate closely with data scientists, software engineers, and domain experts to translate business needs into scalable ML solutions. Responsibilities include feature engineering, model selection, training, evaluation, and continuous monitoring. Experience with deep learning frameworks, natural language processing, computer vision, or reinforcement learning is highly desirable. This position offers a hybrid work arrangement, allowing for collaborative in-office sessions and focused remote work. We are looking for a candidate who is passionate about AI, possesses excellent analytical and programming skills, and thrives in a fast-paced, research-oriented environment. You will have the opportunity to contribute to groundbreaking projects and shape the future of AI applications within the organization.
Responsibilities:
Qualifications:
Responsibilities:
- Design, build, and maintain scalable machine learning systems and infrastructure.
- Develop and implement machine learning models using state-of-the-art algorithms.
- Process and analyze large datasets to extract valuable insights.
- Perform feature engineering, model training, evaluation, and optimization.
- Deploy ML models into production environments and monitor their performance.
- Collaborate with data scientists and software engineers to integrate ML solutions.
- Stay current with the latest advancements in AI, machine learning, and deep learning.
- Conduct research and experiments to explore new ML techniques and applications.
- Document ML models, pipelines, and processes.
- Troubleshoot and resolve issues related to ML systems.
Qualifications:
- Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field.
- 3-5 years of professional experience in machine learning engineering.
- Proficiency in programming languages like Python and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Strong understanding of algorithms, data structures, and software development principles.
- Excellent analytical, problem-solving, and communication skills.
- Experience in deploying ML models in production.
- Ability to work effectively in a hybrid team setting.
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3
Machine Learning Engineer
22330 Al Daih, Northern
BHD140000 Annually
WhatJobs
Posted 4 days ago
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Job Description
Our client is at the forefront of AI innovation and is seeking an exceptional Machine Learning Engineer to design, develop, and deploy cutting-edge AI solutions. This is a fully remote position, offering the opportunity to work with a world-class team of researchers and engineers. The Machine Learning Engineer will be responsible for building robust and scalable machine learning models, from data preprocessing and feature engineering to model training, evaluation, and deployment. You will work on diverse projects, leveraging state-of-the-art algorithms and techniques in areas such as natural language processing, computer vision, and predictive analytics. The successful candidate will possess a deep understanding of statistical modeling, deep learning frameworks (e.g., TensorFlow, PyTorch), and programming languages like Python. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop) is highly desirable. You will collaborate closely with product managers, data scientists, and software engineers to translate business requirements into effective AI solutions. Strong problem-solving skills, a keen eye for detail, and the ability to research and implement novel approaches are essential. The role also involves staying abreast of the latest advancements in AI and machine learning, contributing to the company's knowledge base, and potentially publishing research findings. This is an unparalleled opportunity to shape the future of AI and work on impactful projects that solve real-world problems. A Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field, along with a minimum of 5 years of hands-on experience in developing and deploying machine learning models, is required. A portfolio of relevant projects is highly recommended.
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4
Machine Learning Engineer
00755 Northern, Northern
BHD130000 Annually
WhatJobs
Posted 4 days ago
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Job Description
Our client, a leader in leveraging cutting-edge AI, is seeking a talented Machine Learning Engineer to join their innovative team. This fully remote role will focus on the design, development, and deployment of machine learning models and systems that solve complex business problems. You will work closely with data scientists and software engineers to bring theoretical models into production-ready solutions. Responsibilities include building and maintaining scalable ML pipelines, developing robust data preprocessing and feature engineering techniques, implementing and optimizing ML algorithms, conducting rigorous A/B testing and performance evaluation, and deploying models into production environments using cloud platforms and containerization technologies. The ideal candidate will possess a strong background in software engineering principles, a deep understanding of machine learning concepts, and practical experience with ML frameworks such as TensorFlow or PyTorch. Proficiency in programming languages like Python and experience with cloud platforms (AWS, Azure, GCP) are essential. We are looking for a candidate who is passionate about automation, data-driven decision-making, and creating impactful AI solutions. Strong problem-solving skills, excellent communication, and the ability to collaborate effectively in a remote setting are crucial. Join our dynamic team and contribute to developing next-generation AI technologies that are transforming industries. This is an excellent opportunity to work on challenging and rewarding projects, pushing the boundaries of what's possible with machine learning. Your expertise will be vital in ensuring our AI initiatives are not only innovative but also scalable and reliable, driving tangible business value.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design, build, and maintain production-grade machine learning systems and pipelines.
- Develop and implement data processing, feature engineering, and model training strategies.
- Optimize ML models for performance, scalability, and efficiency.
- Deploy ML models into production environments using CI/CD and MLOps practices.
- Collaborate with data scientists to translate research models into deployable applications.
- Monitor and maintain deployed ML models, ensuring accuracy and reliability.
- Stay up-to-date with the latest advancements in ML research and technology.
Qualifications:
- Master's or Ph.D. in Computer Science, Data Science, or a related quantitative field.
- 3+ years of experience in machine learning engineering or a similar role.
- Strong programming skills in Python and experience with ML libraries (e.g., Scikit-learn, XGBoost).
- Proficiency with deep learning frameworks (TensorFlow, PyTorch).
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
- Solid understanding of software development best practices.
- Excellent problem-solving and analytical skills.
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5
Machine Learning Engineer
1010 Bilad Al Qadeem, Capital
BHD110000 Annually
WhatJobs
Posted 4 days ago
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Job Description
Our client is seeking a talented and experienced Machine Learning Engineer to contribute to their innovative AI development initiatives in **Tubli, Capital, BH**. This role is essential for designing, building, and deploying scalable machine learning models and systems that power advanced AI applications. The Machine Learning Engineer will work closely with data scientists and software engineers to bring cutting-edge AI solutions from concept to production.
Key responsibilities include developing, training, and evaluating machine learning models using various algorithms and frameworks. You will be responsible for optimizing model performance, ensuring scalability, and integrating ML models into existing software systems and production environments. The Machine Learning Engineer will also contribute to data pipeline development, feature engineering, and model deployment strategies. Collaboration with cross-functional teams to understand project requirements, identify challenges, and propose effective ML-driven solutions is paramount. Staying abreast of the latest advancements in machine learning research and applying them to practical problems will be a core aspect of the role.
The ideal candidate will have a Master's or Ph.D. in Computer Science, Engineering, Mathematics, or a related quantitative field, with a specialization in Machine Learning. A minimum of 3-5 years of professional experience in machine learning engineering or a related role is required. Proficiency in programming languages such as Python, along with extensive experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn), is essential. Strong understanding of software engineering principles, MLOps practices, and experience with cloud platforms (AWS, Azure, GCP) are highly desirable. Excellent problem-solving, analytical, and communication skills are necessary. This hybrid role offers a dynamic work environment in **Tubli, Capital, BH**, with the flexibility to work remotely on certain days, contributing to groundbreaking AI projects.
Key responsibilities include developing, training, and evaluating machine learning models using various algorithms and frameworks. You will be responsible for optimizing model performance, ensuring scalability, and integrating ML models into existing software systems and production environments. The Machine Learning Engineer will also contribute to data pipeline development, feature engineering, and model deployment strategies. Collaboration with cross-functional teams to understand project requirements, identify challenges, and propose effective ML-driven solutions is paramount. Staying abreast of the latest advancements in machine learning research and applying them to practical problems will be a core aspect of the role.
The ideal candidate will have a Master's or Ph.D. in Computer Science, Engineering, Mathematics, or a related quantitative field, with a specialization in Machine Learning. A minimum of 3-5 years of professional experience in machine learning engineering or a related role is required. Proficiency in programming languages such as Python, along with extensive experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn), is essential. Strong understanding of software engineering principles, MLOps practices, and experience with cloud platforms (AWS, Azure, GCP) are highly desirable. Excellent problem-solving, analytical, and communication skills are necessary. This hybrid role offers a dynamic work environment in **Tubli, Capital, BH**, with the flexibility to work remotely on certain days, contributing to groundbreaking AI projects.
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6
AI/Machine Learning Engineer - Deep Learning
20211 Busaiteen, Muharraq
BHD80000 Annually
WhatJobs
Posted 4 days ago
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Job Description
Our client, a leader in AI innovation, is seeking a talented AI/Machine Learning Engineer with a specialization in Deep Learning to join their dynamic team in Busaiteen, Muharraq, BH . This hybrid role offers the exciting opportunity to work on cutting-edge artificial intelligence projects, developing and deploying advanced machine learning models. The ideal candidate will possess a strong foundation in machine learning algorithms, deep learning frameworks, and programming proficiency, coupled with a passion for solving complex problems through data.
Responsibilities:
Qualifications:
This is a compelling opportunity to contribute to transformative AI initiatives and grow your career in a highly innovative field.
Responsibilities:
- Design, develop, and implement deep learning models for various applications (e.g., computer vision, natural language processing, predictive analytics).
- Preprocess and analyze large, complex datasets to extract valuable insights.
- Train, evaluate, and optimize machine learning models to achieve desired performance metrics.
- Deploy machine learning models into production environments, ensuring scalability and reliability.
- Collaborate with software engineers and data scientists to integrate AI solutions into existing products and services.
- Stay current with the latest advancements in AI, machine learning, and deep learning research.
- Conduct research and experimentation to explore new algorithms and techniques.
- Develop and maintain documentation for AI models and processes.
- Contribute to the overall AI strategy and roadmap of the company.
- Troubleshoot and resolve issues related to model performance and deployment.
Qualifications:
- Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 2-5 years of hands-on experience in developing and deploying machine learning models, with a strong focus on deep learning.
- Proficiency in programming languages such as Python.
- Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras.
- Solid understanding of machine learning algorithms, statistical modeling, and data mining techniques.
- Familiarity with data preprocessing, feature engineering, and model evaluation methods.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Ability to work effectively in a hybrid team environment.
This is a compelling opportunity to contribute to transformative AI initiatives and grow your career in a highly innovative field.
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7
Senior Machine Learning Engineer - Deep Learning
00150 Southern, Southern
BHD130000 Annually
WhatJobs
Posted 4 days ago
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Job Description
Our client is seeking a highly skilled Senior Machine Learning Engineer with deep expertise in Deep Learning to join their cutting-edge AI research and development team. This role is central to developing and deploying advanced machine learning models that drive innovation across our product portfolio. You will be involved in the entire ML lifecycle, from data preprocessing and model training to evaluation and production deployment. The ideal candidate will have a strong theoretical understanding of deep learning algorithms, practical experience with large-scale datasets, and proficiency in relevant programming languages and frameworks.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement state-of-the-art deep learning models for various applications, including computer vision, natural language processing, and predictive analytics.
- Preprocess, clean, and engineer features from large, complex datasets.
- Train, validate, and optimize deep learning models using various frameworks (e.g., TensorFlow, PyTorch).
- Evaluate model performance and identify areas for improvement.
- Deploy machine learning models into production environments, ensuring scalability and reliability.
- Collaborate with data scientists, software engineers, and product managers to define project requirements and deliver solutions.
- Stay abreast of the latest research and advancements in machine learning and deep learning.
- Contribute to the development of MLOps best practices and pipelines.
- Mentor junior engineers and share knowledge within the team.
- Research and implement novel algorithms and techniques to solve challenging AI problems.
- Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
- Minimum of 7 years of experience in machine learning, with a strong emphasis on deep learning.
- Proven experience in developing and deploying deep learning models in real-world applications.
- Proficiency in Python and ML libraries/frameworks such as TensorFlow, PyTorch, Keras, scikit-learn.
- Strong understanding of fundamental ML algorithms, statistical modeling, and data mining techniques.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills.
- Experience with MLOps principles and tools is a significant plus.
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8
Senior Machine Learning Engineer - Deep Learning
4001 Northern, Northern
BHD115000 Annually
WhatJobs
Posted 4 days ago
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Job Description
Join our innovative, fully remote team as a Senior Machine Learning Engineer specializing in Deep Learning. You will play a critical role in designing, developing, and deploying advanced machine learning models that drive product innovation and solve complex business challenges. The ideal candidate possesses a strong foundation in machine learning algorithms, deep learning frameworks, and experience with large-scale data processing and distributed systems. Responsibilities include implementing state-of-the-art deep learning models (e.g., CNNs, RNNs, Transformers), optimizing model performance, and deploying them into production environments. You will collaborate closely with data scientists, software engineers, and product managers to bring AI-powered features to life. We are looking for a self-motivated individual with excellent programming skills (Python, in particular) and a passion for continuous learning and staying at the forefront of AI research. The ability to work independently, manage project timelines, and communicate technical concepts effectively is essential for this remote role. This is an exciting opportunity to contribute to groundbreaking AI projects and make a significant impact. We value individuals who are adept at problem-solving, have a keen eye for detail, and are committed to building high-quality, scalable ML solutions. Experience with cloud platforms (AWS, Azure, GCP) for ML workloads and MLOps practices is highly desirable. You will be instrumental in advancing our AI capabilities and delivering intelligent solutions to our customers. The role offers the flexibility of remote work combined with the intellectual stimulation of working on challenging AI problems. We encourage candidates with a strong academic background and practical experience in applying deep learning to real-world applications to apply. Your contributions will directly shape the intelligence and functionality of our products.
Responsibilities:
Responsibilities:
- Design, develop, and implement deep learning models and algorithms.
- Build and maintain robust ML pipelines for training, evaluation, and deployment.
- Optimize model performance for efficiency and accuracy.
- Deploy machine learning models into production environments using MLOps best practices.
- Collaborate with cross-functional teams to integrate ML solutions into products.
- Conduct research on cutting-edge deep learning techniques and apply them to business problems.
- Process and analyze large datasets for model training.
- Stay current with advancements in machine learning and artificial intelligence.
- Write clean, maintainable, and well-documented code.
- Master's or PhD in Computer Science, AI, Machine Learning, or a related quantitative field.
- Minimum of 5 years of experience in machine learning engineering.
- Proven experience in developing and deploying deep learning models.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in Python and relevant ML libraries (e.g., scikit-learn, NumPy, Pandas).
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
- Strong understanding of data structures, algorithms, and software design principles.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Ability to thrive in a fully remote work environment.
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