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software engineer - solutions engineering Jobs in Muscat

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python and kubernetes software engineer - data, workflows, ai/ml & analytics Jobs in Muscat

senior machine learning engineer

PHAZERO

<div>The Role
PhazeRo is looking for a Senior Machine Learning Engineer who will take a technical
leadership role in architecting and scaling real-world AI products. You will be responsible for
contributing to and overseeing the end-to-end lifecycle of high-impact agentic systems,
moving beyond individual experimentation to leading the deployment of robust,
production-grade models. You will serve as a technical mentor for the team, driving best
practices in Software Engineering, MLOps, and LLM optimization to power next-generation
user experiences.
Core responsibilities<ul><li>Architect and Optimize Systems: Design and oversee the development of scalable</li></ul>
data pipelines for complex model training and real-time inference.<ul><li>Advanced LLM Development: Lead the fine-tuning, evaluation, and optimization of</li></ul>
Large Language Models (LLMs) specifically for production-level Agentic Digital
Assistants.<ul><li>Production &amp; Infrastructure Leadership: Direct the deployment of open-source and</li></ul>
proprietary models on remote servers, ensuring high performance, low latency, and
cost-efficiency.<ul><li>Strategic Integration: Work closely with cross-functional engineering leads to</li></ul>
integrate sophisticated ML components into broader system architectures.<ul><li>Model Governance: Establish robust monitoring frameworks to track model</li></ul>
performance and implement automated retraining loops to maintain quality and
relevance.<ul><li>R&amp;D Mentorship: Stay at the forefront of AI research and tools, translating new</li></ul>
techniques into actionable strategies for the team.
What we value<ul><li>Deep LLM Expertise: Extensive experience with transformers and advanced</li></ul>
techniques in fine-tuning, prompt engineering, and rigorous model evaluation.<ul><li>Senior Production Track Record: A proven history of taking complex ML projects</li></ul>
from research notebooks to successful, large-scale production environments.<ul><li>Expert Programming &amp; Framework Knowledge: Mastery of Python and deep</li></ul>
learning.<ul><li>MLOps Mastery: Deep familiarity with professional MLOps tooling (e.g., MLflow,</li></ul>
Weights &amp; Biases, Docker) and cloud-native architectures on OCI, AWS or GCP.<ul><li>Strategic Builder Mentality: A drive to ship fast and iterate based on user data, while</li></ul>
maintaining a long-term technical vision for product growth.<ul><li>Collaborative Leadership: Strong communication skills with the ability to lead</li></ul>
remote-first teams and foster a culture of technical excellence and inclusion</div>

Senior Machine Learning Engineer

PhazeRo

<div>
 The Role
 
 
 PhazeRo is looking for a Senior Machine Learning Engineer who will take a technical
 
 
 leadership role in architecting and scaling real-world AI products. You will be responsible for
 
 
 contributing to and overseeing the end-to-end lifecycle of high-impact agentic systems,
 
 
 moving beyond individual experimentation to leading the deployment of robust,
 
 
 production-grade models. You will serve as a technical mentor for the team, driving best
 
 
 practices in Software Engineering, MLOps, and LLM optimization to power next-generation
 
 
 user experiences.
 
 
 Core responsibilities
 
 
 <ul>
 <li>
 Architect and Optimize Systems: Design and oversee the development of scalable
 
 
 </li>
 </ul>
 data pipelines for complex model training and real-time inference.
 
 
 <ul>
 <li>
 Advanced LLM Development: Lead the fine-tuning, evaluation, and optimization of
 
 
 </li>
 </ul>
 Large Language Models (LLMs) specifically for production-level Agentic Digital
 
 
 Assistants.
 
 
 <ul>
 <li>
 Production &amp; Infrastructure Leadership: Direct the deployment of open-source and
 
 
 </li>
 </ul>
 proprietary models on remote servers, ensuring high performance, low latency, and
 
 
 cost-efficiency.
 
 
 <ul>
 <li>
 Strategic Integration: Work closely with cross-functional engineering leads to
 
 
 </li>
 </ul>
 integrate sophisticated ML components into broader system architectures.
 
 
 <ul>
 <li>
 Model Governance: Establish robust monitoring frameworks to track model
 
 
 </li>
 </ul>
 performance and implement automated retraining loops to maintain quality and
 
 
 relevance.
 
 
 <ul>
 <li>
 R&amp;D Mentorship: Stay at the forefront of AI research and tools, translating new
 
 
 </li>
 </ul>
 techniques into actionable strategies for the team.
 
 
 What we value
 
 
 <ul>
 <li>
 Deep LLM Expertise: Extensive experience with transformers and advanced
 
 
 </li>
 </ul>
 techniques in fine-tuning, prompt engineering, and rigorous model evaluation.
 
 
 <ul>
 <li>
 Senior Production Track Record: A proven history of taking complex ML projects
 
 
 </li>
 </ul>
 from research notebooks to successful, large-scale production environments.
 
 
 <ul>
 <li>
 Expert Programming &amp; Framework Knowledge: Mastery of Python and deep
 
 
 </li>
 </ul>
 learning.
 
 
 <ul>
 <li>
 MLOps Mastery: Deep familiarity with professional MLOps tooling (e.g., MLflow,
 
 
 </li>
 </ul>
 Weights &amp; Biases, Docker) and cloud-native architectures on OCI, AWS or GCP.
 
 
 <ul>
 <li>
 Strategic Builder Mentality: A drive to ship fast and iterate based on user data, while
 
 
 </li>
 </ul>
 maintaining a long-term technical vision for product growth.
 
 
 <ul>
 <li>
 Collaborative Leadership: Strong communication skills with the ability to lead
 
 
 </li>
 </ul>
 remote-first teams and foster a culture of technical excellence and inclusion
</div>

Canonical

<div>
 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
 
 
 
 <ul>
 <li>
 Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
 </li>
 <li>
 Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
 </li>
 <li>
 Master distributed systems concepts such as observability, identity, tracing
 </li>
 <li>
 Work with both Kubernetes and machine-oriented open source applications
 </li>
 <li>
 Collaborate proactively with a distributed team of engineers, designers and product managers
 </li>
 <li>
 Debug issues and interact in public with upstream and Ubuntu communities
 </li>
 <li>
 Generate and discuss ideas, and collaborate on finding good solutions
 
 
 </li>
 </ul>
 
 What we are looking for in you
 
 
 
 <ul>
 <li>
 Professional or academic software delivery using Python
 </li>
 <li>
 Exceptional academic track record from both high school and university
 </li>
 <li>
 Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
 </li>
 <li>
 Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
 </li>
 <li>
 Track record of going above-and-beyond expectations to achieve outstanding results
 </li>
 <li>
 Passion for technology evidenced by personal projects and initiatives
 </li>
 <li>
 The work ethic and confidence to shine alongside motivated colleagues
 </li>
 <li>
 Professional written and spoken English with excellent presentation skills
 </li>
 <li>
 Experience with Linux (Debian or Ubuntu preferred)
 </li>
 <li>
 Excellent interpersonal skills, curiosity, flexibility, and accountability
 </li>
 <li>
 Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
 </li>
 <li>
 Thoughtfulness and self-motivation
 </li>
 <li>
 Result-oriented, with a personal drive to meet commitments
 </li>
 <li>
 Ability to travel twice a year, for company events up to two weeks long
 
 
 </li>
 </ul>
 
 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.
 
 
 <ul>
 <li>
 Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud.
 </li>
 <li>
 Hands-on experience with machine learning libraries, or tools.
 </li>
 <li>
 Experience with container technologies (Docker, LXD, Kubernetes, etc.)
 </li>
 <li>
 Experience with public clouds (AWS, Azure, Google Cloud)
 </li>
 <li>
 Working knowledge of cloud computing
 </li>
 <li>
 Passionate about software quality and testing
 </li>
 <li>
 Experience working on an open source project
 
 
 </li>
 </ul>
 
 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.
 
 
 <ul>
 <li>
 Distributed work environment with twice-yearly team sprints in person
 </li>
 <li>
 Personal learning and development budget of USD 2,000 per year
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Maternity and paternity leave
 </li>
 <li>
 Employee Assistance Programme
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues
 </li>
 <li>
 Priority Pass, and travel upgrades for long haul company events
 
 
 </li>
 </ul>
 
 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.
 
 
</div>

Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

<div>
 
 Core Competencies
 
 
 
 <ul>
 <li>
 1-3 years of experience in Data Science, Analytics, or a related quantitative role
 </li>
 <li>
 Strong ability to translate business problems into structured data problems and analytical solutions
 </li>
 <li>
 Experience working with cross-functional stakeholders (e.g., Marketing, Product, Operations) to define KPIs, hypotheses, and success metrics
 </li>
 <li>
 Demonstrated ability to take models from experimentation to production environments
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Proficiency in Python
 </li>
 <li>
 Solid understanding of machine learning fundamentals (supervised and unsupervised learning, model evaluation, feature engineering)
 </li>
 <li>
 Experience building and validating models such as:
 
 
 </li>
 </ul>
 Customer segmentation (clustering, behavioral profiling)
 
 
 Churn prediction and retention modeling
 
 
 Propensity modeling and marketing attribution
 
 
 <ul>
 <li>
 Experience with SQL and working with structured and semi-structured data
 </li>
 <li>
 Familiarity with data visualization and BI tools (e.g., Power BI, Tableau, Looker)
 </li>
 <li>
 Ability to generate actionable business insights from data, not just models
 
 
 </li>
 </ul>
 
 Production &amp; Engineering Mindset
 
 
 
 <ul>
 <li>
 Experience deploying models into production (APIs, batch pipelines, or integration with applications)
 </li>
 <li>
 Understanding of MLOps fundamentals (model versioning, monitoring, retraining workflows)
 </li>
 <li>
 Experience with Git and collaborative development workflows
 </li>
 <li>
 Experience working with cloud environments (AWS, Azure, GCP) is a plus
 
 
 </li>
 </ul>
 
 Business &amp; Analytical Thinking
 
 
 
 <ul>
 <li>
 Strong problem-structuring skills and hypothesis-driven thinking
 </li>
 <li>
 Ability to design experiments (A/B testing) and measure marketing impact
 </li>
 <li>
 Understanding of marketing analytics concepts (CAC, LTV, funnels, cohorts, retention curves)
 </li>
 <li>
 Ability to clearly communicate findings to both technical and non-technical stakeholders
 
 
 </li>
 </ul>
 
 Personal Attributes
 
 
 
 <ul>
 <li>
 Strong ownership mindset and ability to work independently
 </li>
 <li>
 Curiosity and proactive learning attitude
 </li>
 <li>
 Detail-oriented with high standards for data quality and analytical rigor
 </li>
 <li>
 Strong written and verbal communication skills
 </li>
 </ul>
</div>

Data Scientist

Wood

<div>
 
 Job Description
 
 
 
 
 Remarkable people, trusted by clients to design and advance the world
 
 
 
 Wood is recruiting for a Senior Concept Engineer to join our team in Oman to join its Projects team focusing on delivering across FEED and Detail design scopes of work.
 
 
 
 Responsibilities
 
 
 
 Senior Concept Engineer will execute the activities and processes associated with Business Development for feasibility, concept and pre-FEED studies that include Liquid Hydrogen, Fertilizers, Midstream, Petrochemical opportunities, under Business Development scope. Apply and expand hands-on experience in Technical and Commercial development of these projects industries and business in Oman. The position will play a key role in evaluating and selection options, defining and framing and driving the strategies, design basis, and energy and utility infrastructure via a compelling business case. The engineer shall possess excellent creative engineering and commercial skills, conceptual and strategic thinking, project and stakeholder management with strong leadership qualities, and with knowledge and experience in cost and opex estimating, technologies and processing including cryogenic operations, liquification, storage and handling of feedstock and products, transportation, and with abilities to oversee the development of the opportunity in Oman.
 
 
 
 Designing the future. Transforming the world
 
 
 
 Reflecting The Market Focus For The Office In Both Brownfield And Green Field Opportunities, Multi-skilled Personnel Are Sought, In Particular Those With Experience In
 
 
 Onshore Oil and Gas
 
 
 
 What We Can Offer
 
 
 
 <ul>
 <li>
 Meaningful and interesting projects delivered to leaders of industry across oil and gas and emerging energy sectors
 </li>
 <li>
 Commitment to Diversity and Inclusion; we are an organisation actively committed to diversity and inclusion across our business with employee networks committed to giving all employees a voice
 </li>
 <li>
 Competitive salary with regular salary reviews to ensure we are rewarding at the right level in line with the market
 </li>
 <li>
 Employee Assistance Programme: Allows you to feel comfortable knowing that you or your immediate family members can confidentially discuss any work or personal issues that are an inevitable part of life. The programme helps support your mental, physical, social &amp; financial well-being.
 </li>
 <li>
 Professional Memberships; One professional membership, registration, subscription, certification and/or license cost per annum for all active Wood employees. The membership must be relevant to the role you are currently employed in or be part of a development plan. Reimbursement should be claimed via the expenses procedure system, with supporting evidence.
 </li>
 <li>
 Global connections: join experts around the world who are at the leading edge of our industry, shaping the standards of our profession
 
 
 </li>
 </ul>
 
 Typical Responsibilities
 
 
 
 Responsible for supporting, executing and managing general activities of the opportunity development including:
 
 
 <ul>
 <li>
 Lead the development process from initiation to conceptual and pre-FEED design (basis of design)
 </li>
 <li>
 Framing the Business Opportunity
 </li>
 <li>
 Development of Project Initiation Notes along with the supporting business case and definition and implementation of the opportunities.
 </li>
 <li>
 Develop a project portfolio framework for business opportunity
 </li>
 <li>
 Conceptual design of the process facilities, utilities and offsites, storage and dispensing systems.
 </li>
 <li>
 Identification and selection of optimum technologies and design including techno commercial assessment
 </li>
 <li>
 Collaborate with others to develop and integrate production, storage, transportation, loading and unloading systems.
 </li>
 <li>
 Assess the project&rsquo;s logistics requirements and recommend the most efficient and cost ‑ effective options.
 </li>
 <li>
 Work with suppliers to identify the most efficient and cost-effective components for liquid hydrogen systems.
 </li>
 <li>
 Design of the identified and selected concept options
 </li>
 <li>
 Evaluate equipment and processes to optimize performance and ensure compliance with safety and environmental regulations
 </li>
 <li>
 Develop operating, measurement and control philosophies and organization for the integrated facilities integrating stakeholders and future plans
 </li>
 <li>
 Manage commitments and timelines and provide presentation and strategies to leadership team
 </li>
 <li>
 Manage the development and design of energy conservation projects
 </li>
 <li>
 Conduct site inspection, visits and meetings with stakeholders in Oman.
 </li>
 <li>
 Engage with other suppliers of feedstock and utilities to secure competitive supply for the project.
 </li>
 <li>
 Secure land and utilities from the land and port authorities.
 </li>
 <li>
 Engage with commercial and legal advisors as appropriate to manage the risks of the project and overall supply chain
 </li>
 <li>
 Developing Capex Class V and IV and Opex cost estimates.
 </li>
 <li>
 Develop scope for FEED study, market analysis, and Class IV cost estimate to prepare FEED packages.
 </li>
 <li>
 Work with technology licensors to create ITTs for technical and commercial proposals.
 </li>
 <li>
 Pre-qualify vendors and evaluate bidders' proposals technically, commercially, and contractually.
 </li>
 <li>
 Engage in Value Engineering activities to identify and implement optimization opportunities.
 </li>
 <li>
 Engage in Risk Assessment exercise to identify risks and develop mitigation plans as appropriate.
 </li>
 <li>
 Align project plan and deliverables with co-developers.
 </li>
 <li>
 Engage selected Consultants and Vendors for engineering study and monitor progress and quality of deliverables.
 </li>
 <li>
 Develop bankable commercial structure and work with treasury to engage financial advisors in securing bank and ECA fundings
 </li>
 <li>
 Prepare needed documentation and provide support in Peer Reviews as required for approval stages of the projects
 </li>
 <li>
 Prepare needed documentation to seek required Investment Committee, Board approvals as and when needed
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 What makes you remarkable?
 
 
 
 At Wood, we are committed to equal opportunities and welcome all talented individuals to consider joining our team. So even if you don't match every statement below but feel you have some of the experience, knowledge or skills needed for this role, we encourage you to apply. It will take all of us working together to deliver solutions to the world&rsquo;s most critical challenges.
 
 
 
 Experience
 
 
 
 <ul>
 <li>
 BSc or Engineering degree
 </li>
 <li>
 Membership of a recognized professional institute preferred
 </li>
 <li>
 Minimum of 12 years' experience in the oil and gas downstream industry
 </li>
 <li>
 Experience of working with multi-national and multi-cultural project teams is strongly preferred
 </li>
 </ul>
</div>

Senior Concept Engineer

<div>
 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 1200+ colleagues in 75+ countries and very few office-based roles. 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 seeking a highly motivated and experienced
 
 IHV Alliance Sales Director
 
 to join our strategic partnerships team who will be responsible for leading IHV Alliances in the EMEA or APAC regions. Reporting to the Head of IHV Alliances, the IHV Alliance Sales Director will work closely with IHV and Canonical teams in those geographies to develop and maintain strong relationships with senior executives at strategic partner organizations, fostering collaboration and alignment on joint business objectives. The IHV Alliance Sales Director will manage and grow a team of Business Development Managers and help them identify and pursue new business opportunities with IHVs, driving revenue growth and market expansion, develop and execute go-to-market strategies for joint offerings, oversee the day-to-day management of alliances including contract negotiations and performance tracking, and issue resolution.
 
 
 The Director is responsible for building trusted relationships with IHV partners, increasing Canonical market share and attach rate, evangelising the partnership and leading all business interactions from engineer to CxO. They will often run customer workshops focused on particular initiatives at that customer, attend sales events, give public presentations and lead executive engagements.
 
 
 Location: This role will be based remotely in EMEA or APAC regions.
 
 
 
 As an IHV Alliance Sales Director you will:
 
 
 
 <ul>
 <li>
 Build strategic relationships with IHV partners at all levels
 </li>
 <li>
 Grow their awareness of open source capabilities on Canonical Ubuntu
 </li>
 <li>
 Demonstrate a deep understanding of the Linux and cloud software ecosystem
 </li>
 <li>
 Negotiate contracts and commercial business terms
 </li>
 <li>
 Demonstrate a deep understanding of large and complex organizations
 </li>
 <li>
 Lead partnerships in APAC with companies like Lenovo, Huawei, Quanta, Fujitsu, Inspur, H3C, NEC, Asus etc.
 </li>
 <li>
 Lead partnerships in EMEA with companies like Ericsson, Nokia, Bull, Siemens
 </li>
 <li>
 Lead partnerships in the Americas with companies like Dell, HPE, IBM, Supermicro
 </li>
 <li>
 Work closely with marketing, sales engineering and product management
 </li>
 <li>
 Deliver on targets, objectives and provide a voice of the partner
 </li>
 <li>
 Lead executive interlocks between IHV and Canonical leadership
 </li>
 <li>
 Travel regularly - sometimes internationally - to drive partnerships in person
 
 
 </li>
 </ul>
 
 Valued skills and experience
 
 
 
 <ul>
 <li>
 Experience in alliance or indirect sales management roles
 </li>
 <li>
 Autonomous, disciplined, hands-on, get-it-done mentality
 </li>
 <li>
 Ability to capture customer requirements, evaluate gaps, identify and create opportunities
 </li>
 <li>
 Passionate about Ubuntu products and mission
 </li>
 <li>
 Comfortable in fast-paced and high pressure environments with measurable goals
 </li>
 <li>
 Experience with Linux, virtualization, containers, and other cloud technologies.
 </li>
 <li>
 Excellent communication and presentation skills
 
 
 </li>
 </ul>
 
 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 recognize 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.
 
 
 <ul>
 <li>
 Distributed work environment with twice-yearly team sprints in person
 </li>
 <li>
 Personal learning and development budget of USD 2,000 per year
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Maternity and paternity leave
 </li>
 <li>
 Team Member Assistance Program &amp; Wellness Platform
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues
 </li>
 <li>
 Priority Pass and travel upgrades for long-haul company events
 
 
 </li>
 </ul>
 
 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 our 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.
 
 
</div>

Partner Sales Director - IHV Alliances

Prysmian

<div>
 As part of the Production Team, being responsible for the smooth operation of the machines.
 
 
 
 Key Deliverables
 
 
 
 <ul>
 <li>
 Attend the daily meeting with the supervisor for allocation of tasks.
 </li>
 <li>
 Inspect machines on a daily basis to check the specifics of the raw materials.
 </li>
 <li>
 Check the mandate to ensure the orders are as per specifications in the machine.
 </li>
 <li>
 Update the machine faults if any in the MES system.
 </li>
 <li>
 Communicate with the supervisor if the machine needs maintenance.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Job Profile:
 
 
 
 <ul>
 <li>
 Secondary Education.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 1 to 2 years in operating copper tapping machines.
 
 
 </li>
 </ul>
 
 Prysmian , as an Equal Opportunity Employer, aims to attract and recruit individuals with diverse backgrounds, skills, and abilities. We strongly believe that diversity brings significant value at all levels of the organization, increasing the possibility of capturing market opportunities and maximizing value for our customers and stakeholders. With Diversity, Equity, and Inclusion (DE&amp;I) as part of our Social Ambition 2030 and a strategic pillar of our Company culture, Prysmian is committed to the development of an organization that prioritizes talent, where people feel respected, included, and free to fully express their potential just as they are.
 
 
 
 
 All Managers and HRs in Prysmian are responsible for ensuring DE&amp;I policies are respected during the recruiting process, as well as recognizing and mitigating unconscious biases that must not influence our selection processes. All persons will be considered for employment without regard to their race, ethnicity, religion, nationality, origin, citizenship status, socio-economic status, age, sex, gender identity or expression, sexual orientation, marital status, disability, military service or veteran status, pregnancy, parental leave, medical conditions, or any other characteristic protected by applicable federal, state or local laws. Prysmian will endeavor to make a reasonable accommodation for any disclosed physical or neurological condition or disability of a qualified applicant unless the accommodation would impose an undue hardship on the operation of our business.
 
 
 
 
 Visit our DE&amp;I Page to
 
 
 learn more about Prysmian's commitments.
 
 
 
 Your application data will be treated according to our Data Protection Policy. If you believe you require assistance to complete this form or to participate in an interview, please let us know.
</div>

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Explore 132+ Senior machine learning engineer in Muscat this March. Find roles across top companies and apply now to boost your career.

132 senior machine learning engineer jobs In Muscat

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

Data Scientist

Senior Concept Engineer

Partner Sales Director - IHV Alliances

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