13 Machine Learning Engineer jobs in Oman

• Develop scalable machine learning models and algorithms to solve specific business problems
• Work collaboratively with cross-functional teams to gather requirements and identify opportunities for machine learning applications
• Implement and optimize model deployment pipelines for production environments
• Evaluate model performance and iterate on designs to enhance accuracy and efficiency
• Research and stay current with the latest advancements in machine learning and artificial intelligence
• Document processes and communicate results effectively to stakeholders
  
  

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field
• 2+ years of experience in machine learning, data science, or related roles
• Strong proficiency in programming languages such as Python or Java, with deep familiarity with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
• Solid understanding of data pipelines, ETL processes, and big data technologies (e.g., Spark, Hadoop)
• Experience in model evaluation metrics and techniques for model validation
• Strong problem-solving skills and the ability to work independently
• Excellent communication skills and a collaborative approach to work
• Passion for machine learning and eagerness to stay updated with industry trends
  
  

• An honest, entrepreneurial, collaborative, high performance culture
• Infinite opportunities to learn from industry veterans.
• Access to growing network of world class advisors that work or have worked at: Google, Facebook, Twitter and GitHub
• A fun and dynamic work environment that involves a flexible hybrid working environment; community building; and international exposure

SWATX is looking for a talented and driven Data Scientist to join our dynamic team. In this role, you will leverage your expertise in data analysis, machine learning, and statistical modeling to extract insights from complex datasets and drive data-driven decision making within the organization. You will work closely with business stakeholders to identify opportunities for leveraging data to improve products, services, and overall business performance.

Responsibilities:

• Analyze large datasets to identify trends, patterns, and insights that can inform business strategies
• Develop and implement predictive models and machine learning algorithms to solve complex business problems
• Collaborate with cross-functional teams to understand data requirements and provide analytical solutions that meet business needs
• Design and conduct experiments to test hypotheses and validate results
• Communicate findings and recommendations to stakeholders through presentations and reports
• Continuously monitor and improve model performance through regular updates and refinements
• Stay updated with the latest advancements in data science, machine learning, and AI technologies to apply best practices in your work
• Build and maintain data pipelines to ensure the availability of data for analysis and reporting
• Work with data engineering teams to ensure data is collected and stored effectively for analysis
  
  

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience as a Data Scientist or in a similar analytical role
• Strong programming skills in Python, R, or similar languages
• Proficiency in SQL and experience with relational and non-relational databases
• Experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, Keras)
• Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) for communicating results
• Understanding of statistical concepts and methodologies, and experience applying them to real-world scenarios
• Excellent analytical and problem-solving skills
• Strong communication skills, both verbal and written, in English and Arabic
  
  

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer
• SAS Certified Data Scientist

SWATX is looking for a talented and driven Data Scientist to join our dynamic team. In this role, you will leverage your expertise in data analysis, machine learning, and statistical modeling to extract insights from complex datasets and drive data-driven decision making within the organization. You will work closely with business stakeholders to identify opportunities for leveraging data to improve products, services, and overall business performance.

Responsibilities:

• Analyze large datasets to identify trends, patterns, and insights that can inform business strategies
• Develop and implement predictive models and machine learning algorithms to solve complex business problems
• Collaborate with cross-functional teams to understand data requirements and provide analytical solutions that meet business needs
• Design and conduct experiments to test hypotheses and validate results
• Communicate findings and recommendations to stakeholders through presentations and reports
• Continuously monitor and improve model performance through regular updates and refinements
• Stay updated with the latest advancements in data science, machine learning, and AI technologies to apply best practices in your work
• Build and maintain data pipelines to ensure the availability of data for analysis and reporting
• Work with data engineering teams to ensure data is collected and stored effectively for analysis
  
  

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience as a Data Scientist or in a similar analytical role
• Strong programming skills in Python, R, or similar languages
• Proficiency in SQL and experience with relational and non-relational databases
• Experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, Keras)
• Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) for communicating results
• Understanding of statistical concepts and methodologies, and experience applying them to real-world scenarios
• Excellent analytical and problem-solving skills
• Strong communication skills, both verbal and written, in English and Arabic
  
  

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer
• SAS Certified Data Scientist

JOB PURPOSE

To lead advanced procurement data analytics and support the strategic planning of Local Content initiatives across OIA and its companies. This role identifies localization opportunities, enhances data-driven decision-making, and supports the integration of procurement insights into national Local Content programs. This role also contributes to platform enhancement, forecasting, and reporting frameworks using advanced tools and AI-based analysis.

ROLES AND RESPONSIBILITIES

• Analyze procurement plans and awarded tenders across OIA entities to identify Local Content Opportunities.

• Use data science tools to identify localization opportunities by category, supplier, and spend trend.

• Map high-potential sectors for ringfencing, SME participation, or local manufacturing.

• Collaborate with OIA Companies to validate insights and link findings to Local Content programs.

• Contribute to the development of Local Content Balanced Scorecards and dashboards using Local Content-related KPIs.

• Forecast Local Content value creation potential across short- and long-term plans using OIA’s modeling techniques.

• Use AI-driven tools to support trend analysis and predictive reporting.

• Prepare accurate, data-driven insights and visual reports for OIA’s senior leadership, stakeholders, and OIA’s forums.

• Assist in periodic reporting related to procurement-driven Local Content contributions and supplier development metrics.

• Monitor and report on Local Content compliance related to OIA’s relevant Local Content Policies.

• Evaluate and recommend new tools or enhancements to improve Local Content data integration and usability.

• Ensure the integration of procurement data with Local Content systems and dashboards.

• Develop templates and visual tools to improve the usability and clarity of analytics outputs.

• Ensure that data analysis and reporting align with Local Content relevant policies, and strategic priorities.

• Support audits and compliance reviews related to Local Content Implementations.

• Coordinate with Local Content, Procurement and strategy teams across OIA entities to gather accurate data and validate findings.

• Provide technical input during workshops, planning sessions, and Local Content review meetings.

• Contribute to the optimization of data processes, workflows, and visualization tools.

• Benchmark with leading practices in Local Content analytics, public procurement, and industrial planning.

• Provide strategic insights and scenario modeling to guide localization strategies and targets.

• Identify risks, gaps, and opportunities across procurement data sets that impact Local Content performance.

• Support capacity-building within OIA companies on data handling, reporting tools, and standard templates.

• Promote consistency in reporting practices across all OIA’s companies.

• Ensure the department complies with all applicable health, safety, and quality standards and promotes a safe working environment.

MINIMUM QUALIFICATIONS AND REQUIREMENTS

• Bachelor’s degree in Business Administration, Finance, Supply Chain Management, Engineering, or any other relevant field
• Local Content or Procurement related certification
• Minimum of 6 years of relevant experience
• (Minimum 3 years of experience in Local Content or any related field is preferred)

• Architect and develop AI models and solutions that align with client requirements and business goals
• Collaborate with data scientists and software engineers to integrate AI capabilities into existing products
• Conduct experiments and prototype new algorithms to push the boundaries of our AI offerings
• Monitor and evaluate AI model performance, implementing improvements based on feedback and data analysis
• Stay up-to-date with the latest developments in AI and machine learning technologies
• Document methodologies and communicate findings effectively to both technical and non-technical stakeholders
  
  

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field
• 3+ years of experience in AI/Machine Learning engineering or a similar role
• Proficient in programming languages such as Python or Java, with expertise in AI frameworks (e.g., TensorFlow, Keras, PyTorch)
• Strong understanding of deep learning, natural language processing, and computer vision techniques
• Experience with cloud platforms (e.g., AWS, Google Cloud) and their AI services
• Ability to work with large datasets and familiarity with data preprocessing techniques
• Strong analytical and critical thinking skills, with a problem-solving mindset
• Excellent interpersonal and communication skills to collaborate effectively with team members and clients
• Passion for AI and a commitment to continuous learning and professional development
  
  

• An honest, entrepreneurial, collaborative, high performance culture
• Infinite opportunities to learn from industry veterans.
• Access to growing network of world class advisors that work or have worked at: Google, Facebook, Twitter and GitHub
• A fun and dynamic work environment that involves a flexible hybrid working environment; community building; and international exposure

• Architect and develop AI models and solutions that align with client requirements and business goals
• Collaborate with data scientists and software engineers to integrate AI capabilities into existing products
• Conduct experiments and prototype new algorithms to push the boundaries of our AI offerings
• Monitor and evaluate AI model performance, implementing improvements based on feedback and data analysis
• Stay up-to-date with the latest developments in AI and machine learning technologies
• Document methodologies and communicate findings effectively to both technical and non-technical stakeholders
  
  

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field
• 3+ years of experience in AI/Machine Learning engineering or a similar role
• Proficient in programming languages such as Python or Java, with expertise in AI frameworks (e.g., TensorFlow, Keras, PyTorch)
• Strong understanding of deep learning, natural language processing, and computer vision techniques
• Experience with cloud platforms (e.g., AWS, Google Cloud) and their AI services
• Ability to work with large datasets and familiarity with data preprocessing techniques
• Strong analytical and critical thinking skills, with a problem-solving mindset
• Excellent interpersonal and communication skills to collaborate effectively with team members and clients
• Passion for AI and a commitment to continuous learning and professional development
  
  

• An honest, entrepreneurial, collaborative, high performance culture
• Infinite opportunities to learn from industry veterans.
• Access to growing network of world class advisors that work or have worked at: Google, Facebook, Twitter and GitHub
• A fun and dynamic work environment that involves a flexible hybrid working environment; community building; and international exposure

Job Summary

We are seeking an AI Engineer with expertise in Natural Language Processing (NLP) and experience in fine-tuning Large Language Models (LLMs). The ideal candidate will have a strong background in Python programming and a minimum of 2 years of experience working with LLMs. This role involves hands-on development of 5-10 business use cases that enhance user experiences and drive business efficiency.

Responsibilities

• Develop and fine-tune Large Language Models (LLMs) to improve performance in NLP tasks.
• Design and implement NLP solutions to address specific business needs.
• Collaborate with cross-functional teams to identify and prioritize business use cases for NLP applications.
• Create and deploy machine learning models to streamline routine business operations and deliver value to users.
• Stay up-to-date with industry trends and advancements in NLP and LLM technologies.

Requirements

• Proficiency in Python programming.
• Experience in fine-tuning Large Language Models (LLMs).
• Hands-on experience in developing 5-10 business use cases that deliver measurable value.
• Strong understanding of Natural Language Processing (NLP) principles and techniques.
• Ability to work independently and collaboratively as part of a team.
• Excellent communication and problem-solving skills.

Experience

• Minimum of 2 years of experience in Python programming and working with LLMs.
• Demonstrated experience in developing practical NLP solutions for business use cases.

Education

• Bachelors or Masters degree in Computer Science, Engineering, or a related field.
• Additional certifications in AI, NLP, or related fields are a plus.

Language

• Fluent in English / Arabic Speaker (prefer Omani National)

Job Summary

We are seeking an AI Engineer with expertise in Natural Language Processing (NLP) and experience in fine-tuning Large Language Models (LLMs). The ideal candidate will have a strong background in Python programming and a minimum of 2 years of experience working with LLMs. This role involves hands-on development of 5-10 business use cases that enhance user experiences and drive business efficiency.

Responsibilities

• Develop and fine-tune Large Language Models (LLMs) to improve performance in NLP tasks.
• Design and implement NLP solutions to address specific business needs.
• Collaborate with cross-functional teams to identify and prioritize business use cases for NLP applications.
• Create and deploy machine learning models to streamline routine business operations and deliver value to users.
• Stay up-to-date with industry trends and advancements in NLP and LLM technologies.

Requirements

• Proficiency in Python programming.
• Experience in fine-tuning Large Language Models (LLMs).
• Hands-on experience in developing 5-10 business use cases that deliver measurable value.
• Strong understanding of Natural Language Processing (NLP) principles and techniques.
• Ability to work independently and collaboratively as part of a team.
• Excellent communication and problem-solving skills.

Experience

• Minimum of 2 years of experience in Python programming and working with LLMs.
• Demonstrated experience in developing practical NLP solutions for business use cases.

Education

• Bachelors or Masters degree in Computer Science, Engineering, or a related field.
• Additional certifications in AI, NLP, or related fields are a plus.

Language

• Fluent in English / Arabic Speaker (prefer Omani National)

We are seeking a highly skilled AI Quality Engineer to join our National Large Language Model (LLM) Project. This key role will focus on establishing and implementing robust data quality frameworks, evaluation methodologies, and quality gates throughout the LLM development lifecycle. The ideal candidate will ensure our Arabic LLM meets the highest standards of performance, reliability, and cultural appropriateness before being deployed to 20,000 government employees.

• Design and implement comprehensive data quality frameworks specific to Arabic language datasets for LLM training and evaluation
• Establish and enforce quality gates at each project phase (data preparation, model training, evaluation, and RAG implementation)
• Develop detailed acceptance criteria for each phase gate requiring formal sign-off from key stakeholders
• Create and implement quality metrics for data annotation, achieving >90% inter-annotator agreement and >95% cultural/contextual accuracy
• Design and maintain data pipeline quality assurance processes for Arabic text normalization, diacritics standardization, and dialect variation mapping
• Implement Arabic-specific tokenization optimization with >98% vocabulary coverage and >95% morphological accuracy
• Develop comprehensive RAG quality measurement frameworks covering both retrieval metrics
• Establish automated monitoring systems for continuous quality assessment with real-time dashboards
• Create and enforce testing protocols for model evaluation across various Arabic language tasks
• Implement robust regression testing frameworks to ensure model updates maintain or improve quality metrics
• Develop protocols for bias detection and mitigation in both training data and model outputs
• Support the implementation of benchmarking against global standards
• Design human evaluation frameworks to assess model outputs qualitatively
• Collaborate with data annotation teams to ensure high-quality ground truth data
• Participate in weekly quality committee meetings and bi-weekly RAG performance reviews
• Create and maintain quality documentation including processes, guidelines, and acceptance criteria

• Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related field
• 4+ years of experience in AI/ML quality assurance, with specific focus on natural language processing
• Strong understanding of LLM evaluation methodologies and benchmarking techniques
• Experience establishing quality gates and acceptance criteria for AI systems
• Hands-on experience with data quality frameworks and validation techniques
• Experience implementing multi-level annotation review processes with clear metrics
• Proficiency in designing data pipeline quality assurance systems for Arabic language processing
• Experience with RAG quality assessment covering both retrieval and generation components
• Ability to establish and track performance metrics against benchmarks
• Experience implementing automated testing frameworks and continuous integration for ML systems
• Strong knowledge of bias detection and fairness assessment in AI systems
• Familiarity with Arabic language and NLP challenges specific to Semitic languages
• Experience with human evaluation protocols and annotation quality assessment
• Proficiency in Python and relevant testing/quality assurance libraries
• Understanding of statistical analysis techniques for model evaluation
• Experience with data annotation platforms and quality control mechanisms
• Knowledge of responsible AI practices and ethical considerations

• Experience with LLM evaluation specifically for government or enterprise applications
• Knowledge of Arabic-specific LLM benchmarks
• Experience with RAG system evaluation and quality assurance
• Familiarity with platforms like Scale AI, Humanloop, or other annotation/evaluation systems
• Experience with hallucination detection and factual consistency verification
• Knowledge of prompt engineering and prompt quality assessment
• Experience with MLOps and quality gates in CI/CD pipelines for ML
• Proficiency with data lineage tracking and documentation
• Experience implementing A/B testing frameworks for model comparison
• Familiarity with user experience testing for AI applications
• Experience with security and privacy testing for AI systems
• Knowledge of ROUGE, BLEU, BERTScore, and other NLP evaluation metrics
• Experience creating custom metrics for domain-specific tasks
• Experience participating in quality governance committees