14 AI Ml 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

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.

Representation Learning | Long Context Sequence Modeling | Tabular Data | Statistics | Software Engineering | Biological Systems | Genomics Fully remote | Top quartile salary | Stock options | 401K | Health, dental and vision insurance

We are no longer hiring for this role, but please feel free to reach out if you are interested in joining our talent pool.

We are hiring an ML research engineer to interface large-scale representation learning methods with experimental genomic and transcriptomic datasets. Fully remote.

Join a team of world-leading experts in this domain and help drive the field forward as we tackle a problem space only recently made tractable by advances in ML and HPC.

• Use your expertise to develop foundational models based on biological and biochemical data corpuses for applications in early stage drug discovery
• Productionalize research code and add features to state of the art models
• Implement and train baseline models for downstream tasks
• Identify, implement, and maintain model performance metrics and indicators
• Lead and/or contribute to publications in top-tier journals
• Stay up to date with relevant research and industry trends for integration into our products
• Take on a grand challenge and share our purposeful mission - we’re building a biological systems simulator that will transform how medicines are developed - you will be making it accessible and powerful for scientists and doctors, with a big downstream impact on the wellbeing of millions of patients
• Competitive compensation - A starting salary in the top quartile for role and level, based on local benchmarks
• Stock options - you are joining an early-stage startup we want you to have ‘skin in the game’ and your options package will reflect this
• Self-manage - we are a distributed-first company, working from home and collaborating asynchronously from Seattle, NY, Vermont, and Manchester

• Masters in Computer Science, Engineering, or other STEM field and 4+ years of experience in applied machine learning and software engineering
• PhD in Computer Science, Engineering, or other STEM field and 2+ years of experience in applied machine learning and software engineering
• Knowledge of statistics for scientific data (e.g. Design of Experiments)
• Experience working within the domain of biological systems
• Experienced with large scale representation learning
• Experienced with long context sequence models
• Experience with tabular data
• Experience with ML + data science libraries such as PyTorch, Pandas, Scikit-learn etc.
• Python Expertise
• Familiarity with cloud platforms like AWS
• Understanding of version control (Git) and software engineering best practices
• Experience with early-stage startups

We are on a mission to provide access to more effective medicines for millions of patients. We’re building a model of human molecular physiology for research scientists and clinicians that can answer the fundamental question, "will it work?"

Every modernized field of engineering has a systems simulator to test complex interactions in bits rather than atoms. This doesn’t yet exist for biology. Without one, drug development is expensive because risk of failure is very high; 30-60% of prescribed medicines have no clinical benefit to patients and adverse reaction to treatment is the 4th leading cause of death in the US, ahead of pulmonary disease and diabetes. Syntensor is taking on this grand challenge, developing fundamental machine learning methods and applying them at scale to biological data so every individual patient can be prescribed the most effective, least toxic treatment possible.

We are productionizing and scaling up a generalizable machine learning platform that predicts efficacy and toxicity for any drug in any indication. We are using an extensive, heterogeneous biomedical graph, novel fundamental ML methods and advanced engineering infrastructure to generate and explain model outputs for users of our app. Currently, our users are research scientists involved in drug development.

We are a small team of people with diverse skills and a shared bias towards problem solving and execution. We are inventors and builders who believe in the scientific method; feedback and iteration is essential to our process and we share our work early and often. That said, we aim high. Our mission and the domain in which we operate demand that we take on some of the hardest problems researchers, scientists, engineers and designers face, and we are determined to build technology that solves them properly and usefully for users of our platform. We are looking for talented people who are motivated by the challenge of hard problems and who are already curious about the technological, scientific or cultural domains with which we engage.

We are a distributed-first team and very relaxed about where and when work happens, but come together as a whole team weekly to sync-up. We work with intrinsic curiosity and motivation towards well defined goals (even where there are unknown unknowns). Our diversity, great communication and respectful, supportive teamwork make us highly effective.

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

Overview

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is 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, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure.

• 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

• 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

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

• Hands-on experience with machine learning libraries, or tools
• Proven track record of building highly automated machine learning solutions for the cloud
• 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

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

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.

Overview

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in public cloud, data science, AI, engineering innovation and IoT. Our customers include world-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.

• 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

• 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

• 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

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

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.

• 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

We are building AI-native applications that transform messy, real-world data into actionable intelligence. This is a builder's role, you'll work on cutting-edge AI agents, LLM-based systems, and mission-critical applications that directly impact industries like energy, defense, finance, and sovereign data infrastructure.

We need someone who ships fast, learns faster, and thrives with minimal supervision.

• End-to-End AI Systems: Design and deploy AI solutions from prototype to production.
• AI Agents: Build multi-capable agents using state-of-the-art models (GPT-4.1/O3/O4, Claude Opus 4, Gemini).
• RAG Pipelines: Develop advanced Retrieval-Augmented Generation and semantic search workflows.
• LLM Tuning: Fine-tune and deploy open-source LLMs for specialized use cases.
• AI-Native Applications: Build integrations with modern AI developer tools (Cursor, Cline, Claude Code).
• Data Ops: Handle messy real-world data, ETL pipelines, embeddings, and retrieval systems.
• System Reliability: Optimize performance, ensure resilience, and deploy scalable AI-native infrastructure.

• 3 –8 years of proven experience in AI Applications / Systems Engineering / Data Infrastructure.
• Hands-on experience with LangChain, LangGraph, LlamaIndex or equivalent frameworks.
• Expertise with vector databases, embeddings, and semantic search.
• Experience managing real-world messy datasets and ETL workflows.
• Familiarity with Kubernetes, containerization, and cloud/on-prem deployment.
• Excellent communication skills (written & verbal).

Nice to Have

• Experience in multi-agent systems.
• Some background in risk analysis, defense systems, or energy infrastructure.
• Familiarity with AI observability, monitoring, and evaluation frameworks.