11 AI Development jobs in Oman

About Us

PhazeRo stands at the forefront of AI innovation, dedicated to bridging the gap between advanced technology and business solutions. We work across various sectors, such as Energy, Finance, and BioAI, to empower our clients with intelligent automation and data-driven insights. Our team is made up of visionary thinkers and expert engineers who are passionate about making a significant impact in the AI landscape.

Job Overview

We are seeking an experienced AI Engineer to join our dynamic team. In this role, you will design, implement, and maintain AI systems and applications that enhance our product offerings. You will be responsible for developing sophisticated algorithms, conducting research on state-of-the-art AI methodologies, and implementing solutions that drive efficiency and effectiveness within the business. Working with a collaborative team, you will play a key role in shaping the future of AI at PhazeRo.

Key Responsibilities

• 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
  
  

Requirements

• 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
  
  

Benefits

• 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

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About Us

PhazeRo stands at the forefront of AI innovation, dedicated to bridging the gap between advanced technology and business solutions. We work across various sectors, such as Energy, Finance, and BioAI, to empower our clients with intelligent automation and data-driven insights. Our team is made up of visionary thinkers and expert engineers who are passionate about making a significant impact in the AI landscape.

Job Overview

We are seeking an experienced AI Engineer to join our dynamic team. In this role, you will design, implement, and maintain AI systems and applications that enhance our product offerings. You will be responsible for developing sophisticated algorithms, conducting research on state-of-the-art AI methodologies, and implementing solutions that drive efficiency and effectiveness within the business. Working with a collaborative team, you will play a key role in shaping the future of AI at PhazeRo.

Key Responsibilities

• 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
  
  

Requirements

• 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
  
  

Benefits

• 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

About the job AI Engineer (Specializing in NLP)

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)

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About the job AI Engineer (Specializing in NLP)

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.

Key Responsibilities:

• 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

Requirements:

• 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

Preferred Qualifications:

• 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

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About PhazeRo

At PhazeRo, we are paving the way for businesses to harness the transformative power of data. As a leading data science consultancy, we provide innovative solutions that drive measurable results across numerous industries, including (Renewable) Energy, Finance, Telecoms and BioAI. Our team thrives on creativity and technical excellence, and we are dedicated to fostering an inclusive and collaborative work environment.

Position Overview

We are looking for a skilled Machine Learning Engineer to join our talented team. In this role, you will design, implement, and optimize machine learning models that address complex business challenges. You will work closely with data scientists, software engineers, and product managers to integrate machine learning solutions into our existing systems and create scalable architectures. Your contributions will help enhance our products and drive data-informed decisions across the organization.

Key Responsibilities

• 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
  
  

Requirements

• 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
  
  

Benefits

• 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

#J-18808-Ljbffr

About PhazeRo

At PhazeRo, we are paving the way for businesses to harness the transformative power of data. As a leading data science consultancy, we provide innovative solutions that drive measurable results across numerous industries, including (Renewable) Energy, Finance, Telecoms and BioAI. Our team thrives on creativity and technical excellence, and we are dedicated to fostering an inclusive and collaborative work environment.

Position Overview

We are looking for a skilled Machine Learning Engineer to join our talented team. In this role, you will design, implement, and optimize machine learning models that address complex business challenges. You will work closely with data scientists, software engineers, and product managers to integrate machine learning solutions into our existing systems and create scalable architectures. Your contributions will help enhance our products and drive data-informed decisions across the organization.

Key Responsibilities

• 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
  
  

Requirements

• 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
  
  

Benefits

• 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

The mission of Microsoft Business Applications is to help our customers digitally transform their businesses to drive new sources of revenue, create new and engaging ways to serve their customers, and to transform the way in which their business runs to drive new levels of profitability for their organization.
In this role you will be the Technology Specialist (pre-sales consultant) for your assigned workload and a member of the sales team that consists of Solution Specialist, Customer Success Unit, partners, and engineering. In this role you will advance pipeline by assisting the Solution Specialist in qualifying the deal, developing the strategy and inspiring the CxO/Business Decision Maker/Technical Decision Maker. You are responsible for designing the solution and delivering an industry-aligned demonstration to the customer. You will engage partners for co-sell and implementation considerations, engineering to assist with emerging technologies and Customer Success Unit for deal support. The demo will focus on solving the technical proof requirements while highlighting our business value and competitive differentiators and should result in securing the customer's solution design endorsement. Once the solution design is secured, you will support the Solution Specialist in finalizing the customer proposal and assisting with licensing.
You will develop relationships with the decision makers with our customers and position yourself as a trusted advisor in your domain. As a recognized product expert, you are responsible for sharing your technical, industry knowledge and best practices with your peers.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Advance qualified pipeline revenue by demonstrating solution capabilities, addressing technical proof requirements, and securing the customer's solution design endorsement.
+ Engage with the account team to land solution envisioning sessions and business value assessments.
+ Proactively deliver compelling customer centric solution demonstrations based on technical workload expertise while building Business Decision Maker/CxO/Technical Decision Maker connections.
+ Address solution architecture considerations and competitive objection handling.
+ Assist in formalizing the customer proposal.
+ Collaborate with Partners and Customer Success to align on agreed upon deployment plan and Key Performance Indicators.
+ Lead discovery sessions in each opportunity, yielding output of customer-agreed business challenges and win themes prioritized with business value.
**Qualifications**
**Required/minimum qualifications**
+ 6+ years of technical pre-sales or technical consulting experience
+ OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years of technical pre-sales or technical consulting experience
+ OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ years of technical pre-sales or technical consulting experience
+ OR equivalent experience.
**Additional or preferred qualifications**
+ 7+ years of technical pre-sales or technical consulting, or related experience OR equivalent experience.
+ 4+ years' experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.
+ 7+ years of related experience:
+ Solution pre-sales for business applications and/or SaaS-based company or similar technology.
+ Solution pre-sales of complex business application deals requiring orchestration of large, dispersed, virtual teams composed of industry and solution team members.
+ Solutions pre-sales best practices including but not limited to; discovery, building and crafting solution strategies that differentiate from the competition, value-based selling, identifying, and expanding product opportunities.
+ Successful track record of competitive displacement.
+ Ability to drive and influence stakeholders across organizational boundaries through organizational, presentation, envisioning, writing, and verbal communication skills.
+ Proven track record in prioritization and orchestration of resources for complex customer digital transformation engagements.
+ Deep understanding of: Business application solutions
+ Commercial cloud offerings, ideally Microsoft's cloud platform as well as competitive knowledge of other business applications and related ecosystems.
+ Customer facing business processes in one or more industries such as Financial Services, Manufacturing, Automotive, Oil & Gas, Utilities, Retail & Consumer Goods, Healthcare, Public Sector and Media & Communications.
+ Business value selling methodologies and practices that successfully convey the value and business outcomes
+ How to uncover customer's stated and unstated needs and how technology can be leveraged to solve business problems.
+ Desired Skills:
+ High level of self-awareness, reflection, and empathy.
+ Ability to skillfully communicate, demonstrate, and prove the value of Dynamics 365 Business Applications.
+ Customer-centric mindset with demonstrated passion for delivering customer value.
+ Excel at coordinating team resources to build and deliver a compelling solution demonstration
+ Proven collaborator capable of influencing internal and external teams.
+ Excellent presentation and communications skills across various customer stakeholders, e.g., CIO, CFO, CMO, VP of Sales, etc.
+ Adept at challenging perspectives and differentiating from the competition by reframing value and exemplifying customer obsession.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing. We are hiring Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure.

As a software engineer on the team, you'll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.

We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.

Location: This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.

What your day will look like

• Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
• Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
• Master distributed systems concepts such as observability, identity, tracing
• Work with both Kubernetes and machine-oriented open source applications
• Collaborate proactively with a distributed team of engineers, designers and product managers
• Debug issues and interact in public with upstream and Ubuntu communities
• Generate and discuss ideas, and collaborate on finding good solutions
  
  

What we are looking for in you

• Professional or academic software delivery using Python
• Exceptional academic track record from both high school and university
• Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
• Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
• Track record of going above-and-beyond expectations to achieve outstanding results
• Passion for technology evidenced by personal projects and initiatives
• The work ethic and confidence to shine alongside motivated colleagues
• Professional written and spoken English with excellent presentation skills
• Experience with Linux (Debian or Ubuntu preferred)
• Excellent interpersonal skills, curiosity, flexibility, and accountability
• Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
• Thoughtfulness and self-motivation
• Result-oriented, with a personal drive to meet commitments
• Ability to travel twice a year, for company events up to two weeks long
  
  

Additional skills that would be nice to have

The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.

• Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud.
• Hands-on experience with machine learning libraries, or tools.
• Experience with container technologies (Docker, LXD, Kubernetes, etc.)
• Experience with public clouds (AWS, Azure, Google Cloud)
• Working knowledge of cloud computing
• Passionate about software quality and testing
• Experience working on an open source project
  
  

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues
• Priority Pass, and travel upgrades for long haul company events
  
  

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

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