7 AI & Emerging Technologies jobs in Oman

We are looking for a dynamic and hands-on Lead AI & Engineering professional to spearhead our efforts in developing the next generation of AI-first deep infrastructure analytics tools. In this role, you will lead the architecture and development of our AI-first platform, ensuring the seamless integration of front-end and back-end technologies while guiding a multidisciplinary team toward building robust and intuitive products. You will play a pivotal role in shaping our technological direction, driving innovation, and ensuring our solutions remain at the cutting edge of the industry.

• Lead the design, architecture, and development of an AI-first platform, integrating front-end and back-end technologies to deliver advanced analytics tools.
• Lead our R&D efforts in AI, identifying and implementing new AI techniques, models, and technologies that can enhance our platform's capabilities.
• Develop and deploy advanced AI models and algorithms, including machine learning, deep learning, and reinforcement learning techniques, to solve complex infrastructure challenges and provide actionable insights to customers.
• Define and drive the AI strategy, aligning it with overall product and business goals, and ensure it meets the evolving needs of our customers and market.
• Guide and mentor a team of developers, data scientists, and UX designers, fostering a culture of collaboration, innovation, and excellence.
• Drive the development and deployment of machine learning models and AI solutions, ensuring scalability, performance, and maintainability.
• Monitor industry trends and emerging technologies, applying this knowledge to innovate and enhance our platform capabilities.
• Collaborate with cross-functional teams to ensure alignment between technical execution and business goals.
• Manage relationships with key stakeholders, acting as a bridge between our technical teams and external partners to ensure effective communication and alignment.
• Support proposal writing and collaborate with sales and marketing teams to ensure consistent and accurate communication using the right terms and language tailored to our target customers.
• Lead by example, actively contributing to the codebase, troubleshooting issues, and delivering high-quality solutions.
• Promote a positive and collaborative team environment across multiple geographies, developing strong working relationships.
• Ensure all AI solutions are developed following ethical guidelines and data governance standards, promoting transparency, fairness, and accountability.
• Bachelor's degree in Computer Science (or related field) or equivalent professional experience. Preferably Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
• 7+ years of development experience, with a strong focus on AI and machine learning. Out of which 4+ years of experience in AI engineering or machine learning roles, with a strong focus on deploying models in production environments.
• Experience in leading AI R&D efforts, from ideation to deployment of AI models and solutions.
• Advanced programming skills in Python, R, or similar languages, with experience in developing and deploying AI models.
• Expertise in machine learning frameworks and libraries such as TensorFlow, PyTorch, and Scikit-learn.
• Proven experience in application integration and development with Large Language Models and Generative AI (e.g., OpenAI ChatGPT, Claude, LLAMA, Vicuna, Dall-E, Stable Diffusion, etc.).
• Proven ability to apply advanced AI techniques, such as deep learning, reinforcement learning, and neural networks.
• Excellent problem-solving, analytical, and critical-thinking skills.
• Experience with cloud platforms (e.g. AWS, Azure, GCP) and containerisation tools (e.g. Docker, Kubernetes).
• Strong track record of working effectively in distributed team environments across multiple geographies.
• Experience leading cross-functional teams and driving AI projects from inception to deployment.
• Experience in developing AI agents, with a portfolio of relevant projects.
• Strong communication skills, with the ability to explain complex AI concepts to both technical and non-technical stakeholders.
• Familiarity with the challenges and opportunities of the telecom, infrastructure, and analytics industries.
• Willingness to travel as business requires; all business-related travel will be sponsored by the company.
• Knowledge in mathematics, statistics, calculus, and physics.
• Experience with AI-driven solutions for infrastructure, telecom, or analytics industries.
• Previous experience in a startup or high-growth environment.

• A leader and doer with a hands-on approach, who leads by example and is not afraid to dive into the technical details.
• Passion for our mission and vision, with a strong interest in AI, big data, and infrastructure.
• Someone who thrives in a startup environment, particularly in companies at the Series A stage or beyond, and is excited about creating change and leaving a mark.
• A strategic thinker who is also action-oriented, with a strong internal drive to innovate and build impactful solutions.
• Passionate about understanding customer needs and translating them into effective platform solutions.
• Able to work seamlessly with internal teams and external stakeholders to drive platform development.
• Capable of anticipating industry trends and integrating them into our platform roadmap.
• Skilled at articulating complex ideas clearly and convincingly to diverse audiences.
• Comfortable in a fast-paced, evolving environment and able to manage multiple priorities effectively.

• Shares and Equity: Participate in our Employee Stock Option Plan (ESOP) and have a real stake in our company’s success.
• Growth Opportunities: Access to sponsored courses, certifications, and continuous learning opportunities to help you advance your skills and career.
• Comprehensive Benefits: Health insurance, pension contributions, and additional support for your well-being and professional development.
• Paid Travel Benefits: One paid round trip per year to your home country and all business-related travel covered by the company.
• Annual Vacation: Generous paid annual leave to recharge and relax.
• Dynamic Work Environment: A culture that fosters innovation, collaboration, and the freedom to explore and experiment with new ideas.
• Impact and Ownership: The opportunity to be a leader and a doer, shaping the future of digital infrastructure while leaving your mark on the world.
• Flexible Work Arrangements: Options to work remotely or from our offices, ensuring you have the flexibility to balance your personal and professional life.
• A Mission-Driven Team: Join a passionate, diverse group of individuals dedicated to creating meaningful change in the infrastructure and analytics industry.

• Shape the future of digital ecosystems: Be part of a team that's redefining digital ecosystems management to make it intelligent, adaptive, and capable of supporting future demands.
• Innovate for impact: Work on cutting-edge technologies like AI, IoT, and data analytics to address real-world challenges in infrastructure.
• Empower smart cities: Contribute to building the foundation for cognitive cities - urban environments that are resilient, efficient, and adaptable.
• Grow with us: Join a dynamic, mission-driven team that values collaboration, innovation, and growth. We are committed to creating a workplace where you can thrive, learn, and make a meaningful impact.

Now is the perfect time to join Byanat. We are positioned at the intersection of an unprecedented market opportunity, driven by four key trends:

• Explosive Infrastructure Growth: The MENA region is experiencing unparalleled expansion, with the population set to double and rapid urbanisation underway. Smart-city investments in MENA countries like Saudi Arabia are projected to grow from $10 billion in 2017 to over $0 billion by 2030. Byanat is uniquely positioned to lead this growth with innovative solutions that support these smart-city initiatives.
• Technology Growth: We are witnessing the maturity and convergence of transformative technologies like AI, 5G, IoT, and next-gen semiconductors, which are enabling intelligent connectivity like never before. This technological evolution presents a prime opportunity for Byanat's cutting-edge analytics solutions to make a significant impact in the infrastructure space.
• Regulatory Growth: National mandates and strategies, such as Saudi Arabia's Electricity & Co-generation Regulatory Authority, SDAIA smart city initiatives for Saudi Vision 2030, and Qatar's Smart City Strategy for Qatar Vision 2030, are driving the deployment of advanced technologies in critical infrastructure. Byanat is poised to be an essential partner in helping these regions achieve compliance and innovation.
• Investment Growth: Significant investments in infrastructure are ramping up, such as Saudi Arabia's launch of the National Infrastructure Fund, which highlights the government's commitment to critical infrastructure development. Globally, the trend is evident in moves like BlackRock's acquisition of Global Infrastructure Partners for 12.5 billion, signalling that the time to act in this space is now. By joining Byanat, you become part of a movement that is gaining unstoppable momentum.

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)

At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.

The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you'll have the opportunity to collaborate on these projects.

Although every project is unique, you might typically:

• Analyze and understand existing code in Python or C/C++
• Migrate logic to idiomatic, safe Rust while preserving functionality
• Adapt or port the test suite and ensure behavioral equivalence
• Document migration steps and technical decisions

Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you'll help shape the future of AI while ensuring technology benefits everyone.

• You have a Bachelor's or Master's degree in Software Development, Computer Science, or other related fields.
• You have at least 3 years of professional experience with Python and 1+ year of hands-on experience with Rust
• You are experienced with PyO3/maturin for Python-Rust interoperability as well as with automated testing (unit/integration) and benchmarking
• You bring knowledge of Docker, Kubernetes, and CI/CD for hybrid Python-Rust apps
• You demonstrate solid understanding of systems programming (memory management, concurrency)
• Prompt engineering experience is a strong plus
• Your level of English is advanced (C1) or above
• You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines
• Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge

• Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments
• Work on advanced AI projects and gain valuable experience that enhances your portfolio
• Influence how future AI models understand and communicate in your field of expertise

Referrals increase your chances of interviewing at Mindrift by 2x

Get notified about new Freelance Software Engineer jobs in Oman .

• Mid-Senior level

• Part-time

• Other

• IT Services and IT Consulting

Position: AI Application Developer

Location: Muscat

Job Type: Full-Time

Overview:

We are looking for a skilled AI Application Developer to build an AI-enabled application that supports Python, ChatGPT, and .NET technologies. The role includes designing APIs, managing customer-specific contexts, and integrating with external systems.

Responsibilities:

1. AI Development: Implement and fine-tune AI models like ChatGPT for customer-specific needs.
2. API & Integration: Build and deploy RESTful APIs to integrate the application with CRM systems.
3. Database Management: Design databases to securely store and retrieve customer contexts.
4. Testing & Deployment: Ensure performance, reliability, and scalability of the application.
5. Collaboration: Work closely with front-end teams and backend for seamless functionality.

Job Specification :

Required Skills:

1. Programming: Expertise in Python and .NET (C#, ASP.NET).
2. AI/ML: Experience with ChatGPT or similar LLMs.
3. API Development: Proficient in RESTful APIs and CRM integrations.
4. Database: Hands-on experience with SQL/NoSQL databases.

Job Rewards and Benefits : Health Insurance, Leaves

• 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

Job Purpose

We are seeking an experienced Senior Al/Backend Engineer to design and deploy production-grade generative Al applications. The ideal candidate will have deep expertise in Python, modern web frameworks, and LLM integration with proven experience building scalable Al systems.

Duties & Responsibilities:

• Application Development
• Design and maintain high-performance Al applications using Python and FastAPI
• Deliver well-documented applications within project deadlines
• Ensure code quality standards and comprehensive testing

AI & LLM Integration

• Develop production-grade generative Al applications (chatbots, summarization tools, document assistants)
• Implement RAG systems and optimize inference for latency-sensitive applications
• Apply prompt engineering, context window management, and output evaluation
• Leverage tokenization, prompt batching, and streaming generation techniques

Data Management

• Use SQLAlchemy with PostgreSQL for data handling and integrity
• Integrate Pandas for data analysis and transformation

DevOps & Deployment

• Containerize applications using Docker
• Ensure scalable architecture and infrastructure management

Collaboration

• Work with data scientists, product managers, and engineers
• Contribute to code reviews and team mentorship

Qualification & Experience:

• Strong Python expertise with FastAPI or similar frameworks
• Deep understanding of LLMs and Langchain integration
• Production experience with generative Al applications
• Proficiency with SQLAlchemy, PostgreSQL, and Pandas
• Experience with Docker
• Knowledge of RAG systems, tokenization, and prompt engineering
• Strong software engineering best practices

Preferred Qualifications

• Experience with enterprise-scale Al deployments 。
• Familiarity with cloud platforms and DevOps tools