mechanical engineer

sales engineer

field service engineer

it support engineer

llm engineer

machine learner engineer

TAWANTECH

<div>Job Summary: 
 
We are looking for a Machine Learning Engineer with 4+ years of experience in building, deploying, and optimizing ML models in software environments. The ideal candidate has strong Python skills and hands-on experience delivering production-ready ML solutions.
Key Responsibilities:<ul><li>
Develop, train, and deploy machine learning models.
</li><li>Build scalable data pipelines and integrate ML into applications.
</li><li>Perform data preprocessing, feature engineering, and model evaluation.
</li><li>Monitor model performance and implement improvements.
</li><li>Collaborate with engineering and product teams in agile environments.</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI, or related field.
</li><li>4+ years of ML experience in software/product companies.
</li><li>Strong Python skills and experience with TensorFlow, PyTorch, or Scikit-learn.
</li><li>Experience deploying models in production (cloud preferred: AWS/Azure/GCP).
</li><li>Good understanding of statistics, algorithms, and MLOps practices.</li></ul></div>

Machine Learner Engineer

<div>
 
 Job Summary:
 
 
 
 We are looking for a Machine Learning Engineer with 4+ years of experience in building, deploying, and optimizing ML models in software environments. The ideal candidate has strong Python skills and hands-on experience delivering production-ready ML solutions.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Develop, train, and deploy machine learning models.
 </li>
 <li>
 Build scalable data pipelines and integrate ML into applications.
 </li>
 <li>
 Perform data preprocessing, feature engineering, and model evaluation.
 </li>
 <li>
 Monitor model performance and implement improvements.
 </li>
 <li>
 Collaborate with engineering and product teams in agile environments
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's or Master's in Computer Science, AI, or related field.
 </li>
 <li>
 4+ years of ML experience in software/product companies.
 </li>
 <li>
 Strong Python skills and experience with TensorFlow, PyTorch, or Scikit-learn.
 </li>
 <li>
 Experience deploying models in production (cloud preferred: AWS/Azure/GCP).
 </li>
 <li>
 Good understanding of statistics, algorithms, and MLOps practices
 </li>
 </ul>
</div>

Muller's Solutions

<div>M&uuml;ller&rsquo;s Solutions is excited to announce an opening for a Google Cloud AI Specialist to drive our artificial intelligence initiatives leveraging Google Cloud Platform (GCP). In this role, you will be responsible for designing and implementing AI and machine learning solutions to help transform our data into actionable insights and enhance decision-making processes across the organization. 
Key Responsibilities:<ul><li>
Develop and deploy machine learning models using GCP tools such as AI Platform, TensorFlow, and AutoML.</li><li>
Collaborate with cross-functional teams to identify business needs and translate them into AI and ML project requirements.</li><li>
Conduct data analysis to prepare datasets for model training and evaluation while ensuring data quality and integrity.</li><li>
Implement and optimize AI workflows that facilitate real-time data processing and inference.</li><li>
Stay updated on the latest advancements in AI and machine learning technologies to continuously improve our offerings.</li><li>
Provide technical guidance and support to teams on best practices for using Google Cloud AI services.</li><li>
Document AI project implementations, model performance evaluations, and ongoing maintenance procedures.</li><li>
Contribute to developing educational materials and training sessions on AI capabilities for staff and stakeholders.</li><li>
Monitor and assess the performance of deployed AI models, making adjustments as necessary to ensure effectiveness.</li></ul> 

Requirements 
Requirements:<ul>
<li>Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.</li>
<li>3+ years of experience in machine learning or AI solutions development, preferably using Google Cloud Platform.</li>
<li>Proficient in programming languages such as Python or R, with a strong understanding of machine learning libraries (e.g., TensorFlow, scikit-learn).</li>
<li>Experience with cloud-based AI technologies, especially GCP services like Vision AI, Natural Language API, and AutoML.</li>
<li>Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques.</li>
<li>Ability to work with large datasets, utilizing BigQuery or similar data processing tools.</li>
<li>Excellent problem-solving skills and a strong analytical mindset.</li>
<li>Capable of communicating complex technical concepts to diverse audiences effectively.</li>
</ul>Preferred Qualifications:<ul>
<li>Google Cloud certifications (e.g., Google Cloud Professional Data Engineer or Google Cloud Professional Machine Learning Engineer) are a plus.</li>
<li>Experience with MLOps practices and tools for model deployment and management.</li>
<li>Familiarity with DevOps practices as they relate to AI and machine learning.</li>
<li>A background in statistics or applied mathematics is desirable.</li> 
</ul> 
 
Benefits 
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.</div>

Google Cloud AI Specialist

Azeus Convene

<div>Azeus Systems Limited is looking for a Systems Engineer to be part of our growing support team for our product, Azeus Convene. Azeus Convene is a multi-awarded meeting and collaboration solution for Boards and Leadership Teams. Our client base has grown exponentially, and we have extended our global footprint in over 100 countries, which has already been recognized by reputable institutions across the globe.
Learn more about us: www.azeusconvene.com
As a Systems Engineer, you will design and implement systems architectures to ensure security frameworks. You will lead and coordinate with systems administrators and all project team members in managing system configuration and setting up and maintaining the most cost effective and efficient hardware and software to satisfy project requirements.
You will undergo intensive on-the-job training and mentoring to prepare you for the following responsibilities:
<ul><li>Setup servers with hardening and firewall policies between servers
</li></ul>o Implement applications developed by Azeus in the cloud (AWS, Azure, KSA cloud, etc.)
o Lead the implementation of applications developed by Azeus in client premises. You will be prepared to handle server and application software hardening, firewall policies setup, etc.<ul><li>Identify and analyze system integration problems
</li><li>Resolve server issues by identifying root cause and then doing immediate remedial actions
</li><li>Formulate and implement corrective actions in case problem re-occurs</li><li>Formulate and implement preventive actions to prevent the issue from happening again
</li><li>Identify tasks that are recurrent and recommend tools to automate those tasks
</li><li>On-call for support cases</li></ul>
What we are looking for:<ul><li>Fast learner and with excellent problem-solving skills
</li><li>Good organization skills and can work well under pressure and time constraints
</li><li>Flexible and can adapt to changing shift schedules as you may be assigned to work on weekends, holidays and on different time zones
</li><li>Excellent interpersonal and leadership skills 
</li></ul> 
 
Requirements 
<ul>
<li>Minimum 2 years in a similar systems engineering/support/DevOps role
</li><li>Familiar with cloud platforms (AWS, Azure, KSA cloud), firewalls, and Linux-based systems</li></ul></div>

Systems Engineer - KSA

Devoteam

<div>
 
 Tech for People Unlocks the Future
 
 
 
 At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.
 
 
 With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
 
 
 
 Devoteam Culture &amp; Values:
 
 
 
 True innovation is born from a powerful culture, fused with meaningful values.
 
 
 
 Culture:
 
 
 
 
 Fair and courageous
 
 
 
 Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.
 
 
 
 Ambition and results
 
 
 
 Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.
 
 
 
 Learning and innovating
 
 
 
 Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.
 
 
 
 Caring and sharing
 
 
 
 A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration.
 
 
 At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,
 
 
 
 Values:
 
 
 
 <ul>
 <li>
 Respect
 </li>
 <li>
 Frankness
 </li>
 <li>
 Passion
 
 
 
 </li>
 </ul>
 Knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.
 
 
 To know more about us, please visit: www.devoteam.com
 
 
 
 Job Description
 
 
 
 As a Senior Data Scientist\Machine Learning Engineer at Devoteam, you will be responsible for developing, implementing, and optimizing advanced data-driven algorithms, including classification, regression, recommender systems, and user segmentation models. You will collaborate with cross-functional teams to identify opportunities for improvement and deliver impactful insights that drive business success
 
 
 Key responsibilities :
 
 
 <ul>
 <li>
 Identifying relevant data sources for business needs.
 </li>
 <li>
 Processing, cleansing, and Organising data into usable formats.
 </li>
 <li>
 Conduct in-depth research and analysis on large datasets to uncover hidden patterns, correlations, and trends
 </li>
 <li>
 Apply data mining techniques such as association rule discovery, classification, and clustering
 </li>
 <li>
 Conduct thorough EDA to understand underlying patterns, correlations, and anomalies in complex datasets
 </li>
 <li>
 Transform and preprocess raw data to create meaningful features that can improve model performance.
 </li>
 <li>
 Develop, evaluate, and deploy predictive machine learning models to drive actionable insights.
 </li>
 <li>
 Communicate complex data findings in a clear and concise manner to non-technical stakeholders
 </li>
 <li>
 Stay up-to-date with the latest advancements in data science, machine learning, and industry best practices, continuously seeking opportunities to improve methodologies and processes.
 </li>
 <li>
 Advanced Technical Skills: Mastery of programming languages like Python or R, expertise in data manipulation, machine learning algorithms, and statistical analysis.
 </li>
 <li>
 Data Manipulation:** Proficiency in working with large datasets, data cleaning, preprocessing, and transforming data into usable formats.
 </li>
 <li>
 Machine Learning Expertise:** Experience in selecting and implementing appropriate machine learning algorithms, model evaluation, hyperparameter tuning, and dealing with bias and fairness issues.
 </li>
 <li>
 Build conversational AI applications.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering, IT or equivalent
 </li>
 <li>
 + 7 year experience within the data science field.
 </li>
 <li>
 Has a strong knowledge and proven experience in following areas: SQL, statistics , machine learning and programming
 </li>
 <li>
 Strong expertise in various supervised and unsupervised machine learning algorithms such as Time Series Forecasting ,regression ,Clustering,Classification and deep learning methods
 </li>
 <li>
 Experience working with Agile methodologies
 </li>
 <li>
 Ability to communicate with both technical and non-technical audiences
 </li>
 <li>
 Excellent English and Arabic communication skills (written &amp; spoken)
 </li>
 <li>
 Analytical mindset and Problem-solving skills
 </li>
 <li>
 Alteryx or Dataiku experience is a must
 </li>
 <li>
 MLOps experience is a plus
 </li>
 <li>
 Practical Knowledge of big data systems is a plus
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 BU: Data Intelligence
 
 
 Senio Level
</div>

Senior Data Scientist

KONE

<div>Certified as a Top Employer; KONE is dedicated to a better world of work and exhibits this through excellent people practices. We are committed to fostering a great work culture and inspiring the highest standards of quality and efficiency by putting our people first and creating a workplace that nurtures collaboration, diversity, growth and wellbeing.
I t's time to make a move. Join our flow. 
 
We have an exciting opportunity for an energetic and enthusiastic CSE Engineer Project (MP) to be responsible for providing technical expertise to identify the most suitable KONE product for customer requirements. This role involves interpreting customer specifications and aligning them with KONE&rsquo;s solutions, including escalators, auto walks, machine-room-less elevators, high-rise systems, and third-party equipment. The engineer also plays a key role in developing non-standard solutions and supporting the Ordering process , ensuring that all technical requirements are met with KONE&rsquo;s product offerings. He/she takes over the project from the initial start-up meeting and is accountable for coordination of all engineering work until the project is handed over to maintenance .
What will you do?
Communication with Customer or project team:
<ul><li>Responsible for attending regular customer meetings, Project follow up meetings and site coordination meetings.
</li><li>He/She together with Project manager will be point of contact between customers and KONE supply line for all technical points.
</li></ul>Collaboration with sales:
<ul><li>Responsible for finding the optimal KONE product to meet the customer&rsquo;s needs for non-standard and Major projects case.
</li><li>Select the correct product platform on which to make the offer.
</li></ul>Solution planning &ndash; Specs:
<ul><li>Coordinates specification creation for changes
</li><li>Accountable for the technical content of the order between MS 0b and MS 2z
</li><li>Accountable for final technical site surveys
</li></ul>Solution planning &ndash; costing
<ul><li>Responsible for supplying correct costings in change orders (variations and add works), both for corporate and local materials
</li><li>Involves the Supply Line, installation, maintenance and project management to understand both the materials and service cost of the change orders (variations and add works)
</li></ul>Collaboration with Supply Line:
<ul><li>Responsible for placing the order to factory includes the correct documentation and procedure
</li><li>Follow up the manufacturing and coordinate the material delivery dates to operation.
</li><li>Coordinates lead times from Supply Line and local sourcing on the changes
</li></ul>General responsibilities:
<ul><li>Offers input to the product offering management about customization, standardization and interface requirements for the portfolio
</li><li>Contributes to the Customer Solutions Engineering virtual and local network
</li><li>Contributes to and utilizes the Customer Solutions Engineering case library
</li><li>Handles the most demanding customer projects
</li></ul>Are you the one?
<ul><li>Hold bachelor&rsquo;s degree in engineering.
</li><li>Minimum of 5 years experience in elevator business handled order engineering or another relevant field.
</li><li>Excellent verbal and written English and Arabic language skills.
</li><li>Excellent communication, negotiation, and customer handling skills.
</li><li>Understanding of different building types and customer segments
</li><li>Good knowledge of environmental and sustainability requirements and norms
</li><li>Good CAD and BIM skills
</li><li>Project management skills
</li><li>Basic knowledge of competitors&rsquo; products
</li><li>Good understanding of a product&rsquo;s total costing is built up &amp;local norms and regulations.
</li><li>Good knowledge Z04 &ndash; SAP.
</li></ul>At KONE, we are focused on creating an innovative and collaborative working culture where we value the contribution of each individual. Employee engagement is a key focus area for us and we encourage participation and the sharing of information and ideas. Sustainability is an integral part of our culture and the daily practice. We follow ethical business practices and we seek to develop a culture of working together where co-workers trust and respect each other and good performance is recognized. In being a great place to work, we are proud to offer a range of experiences and opportunities that will help you to achieve your career and personal goals and enable you to live a healthy and balanced life.
Read more on https://careers.kone.com/en/</div>

CSE Engineer Project (MP)

Tabby

<div><h3 class="jobSectionHeader">Description</h3><div> 
Tabby builds financial products used by millions of users across the GCC. Data is a core part of how products, risk, finance, and operations are built and scaled. We work with large volumes of data under strict requirements for quality, cost efficiency, and regulatory compliance. 
</div><div>This internship is not educational by default. It is an engineering role with real responsibility.</div><div>
Data engineers at Tabby work on analytics and data platforms that support business decisions, product development, and machine learning use cases. This includes data modeling, data pipelines, data quality, and consumption by multiple internal teams.</div><div>
 
The internship is designed for strong early-career engineers who want to grow into data engineering roles. Interns are embedded into real data teams, work with production datasets, and are expected to meet engineering standards from day one.</div><h3 class="jobSectionHeader"> 
Key Responsibilities</h3><div> 
This is not a helper or reporting-only role. Interns work on real production tasks under senior review. 
</div><ul><li>Develop and maintain analytical data models</li>
<li>Work with SQL-based transformations and data pipelines</li>
<li>Contribute to data quality checks and validation logic</li>
<li>Help build and maintain data products used by business and engineering teams</li>
<li>Work with orchestration tools and scheduled data workflows</li>
<li>Participate in discussions around data modeling, metrics, and definitions</li>
<li>Investigate data issues and help identify root causes</li>
<li>Improve reliability and cost efficiency of data processing</li></ul> 
<h3 class="jobSectionHeader">
Skills, Knowledge &amp; Expertise</h3> 
<ul>
<li>
Strong fundamentals in SQL</li>
<li>Good working knowledge of Python for data processing</li>
<li>Understanding of relational data models and basic data modeling concepts</li>
<li>Understanding of how analytical data is used for reporting and decision-making</li>
<li>Ability to read, understand, and modify existing data pipelines or models</li>
<li>Experience with Git and standard development workflows</li>
<li>Structured thinking and attention to data correctness</li>
<li>Open to constructive feedback</li>
<li>English sufficient for documentation and team communication</li>
</ul><ul><li>Familiarity with analytical data modeling approaches (star schema, slowly changing dimensions)</li>
<li>Experience with data transformation tools (dbt or similar)</li>
<li>Experience with workflow orchestration tools (Airflow or similar)</li>
<li>Familiarity with cloud data warehouses (BigQuery or similar)</li>
<li>Exposure to BI tools or data visualization</li>
<li>Interest in data quality, metrics, and data platform design</li></ul><div></div><h3 class="jobSectionHeader"> 
Eligibility</h3> 
<ul>
<li>
Saudi nationals only</li>
<li>Internship is structured and administered through HRDF</li>
<li>We welcome both current students and fresh grads</li>
<li>We expect a full-time level of engagement throughout the internship. The program is not part-time: interns should be ready to contribute at a full working-day pace. We understand that students may occasionally need flexibility for classes or exams, which can be aligned with the mentor in advance, but overall performance, ownership, and context involvement are expected at a full-time level.</li>
</ul><ul><li>Paid internship</li>
<li>Full integration into an engineering team</li>
<li>Distributed engineering team across multiple countries</li>
<li>Remote work is available from anywhere</li>
<li>Office-based work is available in Riyadh</li>
<li>Clear path to a junior data engineer or analytics engineer role based on performance</li>
</ul><div>
 
This internship is intentionally demanding and designed for candidates aiming for fast professional growth in data engineering.</div><div></div><h3 class="jobSectionHeader"> 
About Tabby</h3><div>
Tabby creates financial freedom in the way people shop, earn and save, by reshaping their relationship with money. 
 
The company&rsquo;s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 32,000 global brands and small businesses, including Amazon, Noon, IKEA and Shein use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores. 
 
Tabby has generated over $7 billion in transaction volume for its partner brands and has the highest rated, most reviewed, largest and fastest growing app of any fintech in the GCC region. 
 
Tabby launched operations in 2020 and has raised +$1 billion in equity and debt funding from global and regional investors.</div></div>

Intern Data Engineer

Explore 233+ Machine learner engineer in Riyadh this March. Find roles across top companies and apply now to boost your career.

233 machine learner engineer jobs In Riyadh

Machine Learner Engineer

Machine Learner Engineer

Google Cloud AI Specialist

Systems Engineer - KSA

Senior Data Scientist

CSE Engineer Project (MP)

Intern Data Engineer