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assistant manager - data architect

senior data scientist senior ml engineer

Foodics

<div>
 
 Who Are We❓
 
 
 
 We Are Foodics! a leading restaurant management ecosystem and payment tech provider. Founded in 2014 with headquarter in Riyadh and offices across 5 countries, including UAE, Egypt, Jordan and Kuwait. We are currently serving customers and partners in over 35 different countries worldwide. Our innovative products have successfully processed over 6 billion (yes, billion with a B) orders so far! making Foodics one of the most rapidly evolving SaaS companies to ever emerge from the MENA region. Also Foodics has achieved three rounds of funding, with the latest raising $170 million in the largest SaaS funding round in MENA, boosting its innovation capabilities to better serve business owners.
 
 
 
 The Job in a Nutshell💡
 
 
 
 You will lead the design, development, and deployment of ML/AI/GenAI models that power core Foodics products (e.g., pricing, personalization, fraud detection). You'll collaborate with Data Engineers, Product Managers, and Platform teams to deliver production-grade models with real impact.
 
 
 
 What Will You Do❓
 
 
 
 <ul>
 <li>
 Own end-to-end ML model lifecycle: problem framing, data exploration, training, deployment, monitoring
 </li>
 <li>
 Design and develop scalable solutions using classical ML and GenAI techniques
 </li>
 <li>
 Implement MLOps best practices: versioning, reproducibility, monitoring, CI/CD for models
 </li>
 <li>
 Collaborate with squads and platform teams to ensure reusability and adherence to standards
 </li>
 <li>
 Mentor junior ML engineers and contribute to the internal ML knowledge base
 </li>
 <li>
 Integrate models with APIs and backend services as needed
 </li>
 <li>
 Embrace and enforce a "you build it, you run it" approach, owning the full lifecycle of ML models from development through monitoring and continuous improvement
 
 
 </li>
 </ul>
 
 What Are We Looking For❓
 
 
 
 <ul>
 <li>
 5+ years' experience in applied ML, AI, or data science
 </li>
 <li>
 Strong proficiency in Python and ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, HuggingFace Transformers)
 </li>
 <li>
 Experience with MLOps tools (e.g., MLflow, SageMaker) and managing versioning, testing, and observability
 </li>
 <li>
 Deep understanding of model development workflows including feature engineering, hyperparameter tuning, model evaluation, and A/B testing
 </li>
 <li>
 Deep understanding of statistical modeling, statistical inference, and the appropriate application of statistical tests (e.g., t-test, chi-square, ANOVA, regression analysis); ability to interpret results and communicate implications to both technical and non-technical audiences
 </li>
 <li>
 Proven track record of deploying ML models in production at scale
 </li>
 <li>
 Knowledge of ML best practices including bias mitigation, explainability (e.g., SHAP, LIME), and model monitoring for drift and fairness
 </li>
 <li>
 Strong understanding of data pipelines, experimentation, and model evaluation
 </li>
 <li>
 Familiarity working in a cloud-native environment (AWS preferred) with CI/CD, GitOps, and IaC tools (e.g., Terraform, CDK)
 </li>
 <li>
 Hands-on experience with GenAI / LLM integration (e.g., RAG, fine-tuning, embeddings, prompt engineering) and tools such as LangChain, LangGraph, or LlamaIndex
 
 
 </li>
 </ul>
 
 What We Offer You❗
 
 
 
 We believe you will love working at Foodics!
 
 
 <ul>
 <li>
 We have an inclusive and diverse culture that encourages innovation
 </li>
 <li>
 We offer highly competitive compensation packages, including bonuses and the potential for shares
 </li>
 <li>
 We prioritize personal development and offer regular training and an annual learning stipend to tackle new challenges and grow your career in a hyper-growth environment
 </li>
 <li>
 Join a talented team of over 30 nationalities working in 14 countries, and gain valuable experience in an exciting industry
 </li>
 <li>
 We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company
 </li>
 </ul>
</div>

Senior Data Scientist / Senior ML Engineer

<div>Who Are We&#10067; 
We Are Foodics! a leading restaurant management ecosystem and payment tech provider. Founded in 2014 with headquarter in Riyadh and offices across 5 countries, including UAE, Egypt, Jordan and Kuwait. We are currently serving customers and partners in over 35 different countries worldwide. Our innovative products have successfully processed over 6 billion (yes, billion with a B) orders so far! making Foodics one of the most rapidly evolving SaaS companies to ever emerge from the MENA region. Also Foodics has achieved three rounds of funding, with the latest raising $170 million in the largest SaaS funding round in MENA, boosting its innovation capabilities to better serve business owners.
The Job in a Nutshell
You will lead the design, development, and deployment of ML/AI/GenAI models that power core Foodics products (e.g., pricing, personalization, fraud detection). You&rsquo;ll collaborate with Data Engineers, Product Managers, and Platform teams to deliver production-grade models with real impact.
What Will You Do&#10067;<ul><li><ul>
<li>Own end-to-end ML model lifecycle: problem framing, data exploration, training, deployment, monitoring.</li>
<li>Design and develop scalable solutions using classical ML and GenAI techniques.</li>
<li>Implement MLOps best practices: versioning, reproducibility, monitoring, CI/CD for models.</li>
<li>Collaborate with squads and platform teams to ensure reusability and adherence to standards.</li>
<li>Mentor junior ML engineers and contribute to the internal ML knowledge base.</li>
<li>Integrate models with APIs and backend services as needed.</li>
<li>Embrace and enforce a &quot;you build it, you run it&quot; approach, owning the full lifecycle of ML models from development through monitoring and continuous improvement.</li>
</ul></li></ul>What Are We Looking For&#10067;<ul><li><ul>
<li>5+ years&rsquo; experience in applied ML, AI, or data science.</li>
<li>Strong proficiency in Python and ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, HuggingFace Transformers).</li>
<li>Experience with MLOps tools (e.g., MLflow, SageMaker) and managing versioning, testing, and observability.</li>
<li>Deep understanding of model development workflows including feature engineering, hyperparameter tuning, model evaluation, and A/B testing.</li>
<li>Deep understanding of statistical modeling, statistical inference, and the appropriate application of statistical tests (e.g., t-test, chi-square, ANOVA, regression analysis); ability to interpret results and communicate implications to both technical and non-technical audiences.</li>
<li>Proven track record of deploying ML models in production at scale.</li>
<li>Knowledge of ML best practices including bias mitigation, explainability (e.g., SHAP, LIME), and model monitoring for drift and fairness.</li>
<li>Strong understanding of data pipelines, experimentation, and model evaluation.</li>
<li>Familiarity working in a cloud-native environment (AWS preferred) with CI/CD, GitOps, and IaC tools (e.g., Terraform, CDK).</li>
<li>Hands-on experience with GenAI / LLM integration (e.g., RAG, fine-tuning, embeddings, prompt engineering) and tools such as LangChain, LangGraph, or LlamaIndex.</li>
</ul></li></ul>What We Offer You&#10071; 
We believe you will love working at Foodics!<ul>
<li>We have an inclusive and diverse culture that encourages innovation.</li>
<li>We offer highly competitive compensation packages, including bonuses and the potential for shares.</li>
<li>We prioritize personal development and offer regular training and an annual learning stipend to tackle new challenges and grow your career in a hyper-growth environment.</li>
<li>Join a talented team of over 30 nationalities working in 14 countries, and gain valuable experience in an exciting industry.</li>
<li>We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company.</li></ul></div>

Jeel

<div>
 
 
 Senior Data Scientist &ndash; Drive AI Innovation at Jeel!
 
 
 
 
 
 
 📍
 
 Location:
 
 Riyadh, Saudi Arabia
 
 
 🏢
 
 Company:
 
 Jeel Digital Innovations (A Subsidiary of Riyad Bank)
 
 
 
 
 
 
 About Jeel Digital Innovations:
 
 
 
 Jeel is more than a tech company &ndash; we are a bold digital movement redefining financial services through AI, data science, and cutting-edge digital products. As a subsidiary of Riyad Bank, Jeel combines start-up agility with the scale and security of a major financial institution.
 
 
 We&rsquo;re building a future where data is not just analysed &ndash; it&rsquo;s activated to solve real-world challenges. If you're passionate about machine learning, intelligent automation, and ethical AI, we want you on our team.
 
 
 
 
 
 
 About the Role:
 
 
 
 As a Senior Data Scientist at Jeel, you&rsquo;ll lead the design, development, and deployment of scalable AI/ML solutions that directly impact customers, internal decision-making, and business outcomes. You&rsquo;ll work across data engineering, MLOps, analytics, and governance &ndash; while exploring the frontier of GenAI, LLMs, and applied data science in fintech.
 
 
 This role isn&rsquo;t just about building models &ndash; it&rsquo;s about shaping the AI strategy of a digitally-ambitious organisation.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 🧠
 
 AI Strategy &amp; Model Development
 
 &ndash; Build and operationalise ML models that solve high-impact business problems using Python, TensorFlow, PyTorch, and Scikit-learn.
 
 
 📊
 
 Data Analytics &amp; Visualisation
 
 &ndash; Deliver predictive insights via tools like Tableau, Power BI, and Apache Superset.
 
 
 🚀
 
 MLOps &amp; Deployment
 
 &ndash; Deploy robust, scalable models via CI/CD, Docker, Kubernetes and cloud platforms (GCP, Azure, AWS).
 
 
 📉
 
 Cost Efficiency &amp; Performance Tuning
 
 &ndash; Optimise data pipelines, AI workloads, and storage costs across cloud-native platforms.
 
 
 🛡️
 
 Ethical AI &amp; Governance
 
 &ndash; Ensure regulatory compliance (SAMA, GDPR, NCA) and promote responsible AI standards.
 
 
 🤝
 
 Cross-Functional Collaboration
 
 &ndash; Work closely with engineers, product owners, and business leaders to embed intelligence into every decision.
 
 
 
 
 
 
 Who We&rsquo;re Looking For:
 
 
 
 ✅
 
 Education
 
 : Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, AI, Statistics, or related field.
 
 
 ✅
 
 Experience
 
 : 5+ years in data science/ML; hands-on cloud AI deployment; MLOps and big data engineering.
 
 
 ✅
 
 Technical Stack
 
 : Python, R, SQL, Spark, TensorFlow, PyTorch, Scikit-learn, Docker, Kubernetes, GitLab CI, Apache Kafka.
 
 
 ✅
 
 Bonus
 
 : Experience with LLMs, RAG, NLP, and real-time data streaming.
 
 
 ✅
 
 Soft Skills
 
 : Strategic mindset, excellent storytelling, collaboration, and curiosity.
 
 
 
 
 
 
 Why Join Jeel?
 
 
 
 🌍
 
 Impact-Driven AI Work
 
 &ndash; Solve real challenges in fintech and digital banking with ethical, future-ready AI.
 
 
 🏗️
 
 Full-Stack Data Environment
 
 &ndash; Engage across model building, data engineering, deployment, and experimentation.
 
 
 📈
 
 Learn &amp; Grow
 
 &ndash; Continuous learning is in our DNA. Explore LLMs, AutoML, cloud AI, and emerging trends.
 
 
 🤝
 
 A Collaborative Culture
 
 &ndash; Work with mission-driven experts who believe in purpose, autonomy, and excellence.
 
 
 🚀
 
 Shape Tomorrow
 
 &ndash; Your insights will drive innovation across Jeel&rsquo;s next-gen digital products and services.
 
 
 
 
 
 
 Ready to Build the Future of AI at Jeel?
 
 
 
 If you're excited about innovation, passionate about data, and driven to make a difference &ndash; apply now and join us on this journey.
 
</div>

Senior Data Scientist

Mozn

<div>
 
 
 About Mozn
 
 
 
 Mozn is a rapidly growing technology firm revolutionizing the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it's working to realise Vision 2030 with a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn is the trusted Al technology partner for some of the largest government organizations, as well as many large corporations and startups.
 
 
 
 
 
 We are in an exciting stage of scaling the company to provide Al-powered products and solutions both locally and globally that ensure the growth and prosperity of our digital humanity. It is an exciting time to work in the field of Al to create a long-lasting impact.
 
 
 
 
 
 
 About the role
 
 
 
 We are seeking a Data Scientist with an interest in Natural Language Processing (NLP). In this role, you will assist in developing NLP models, apply problem solving skills, and support in pretraining and fine-tuning Large Language Models (LLMs). The ideal candidate will have a foundational understanding of data science, with a desire to specialize in NLP and machine learning, and a passion for learning and developing real-world solutions.
 
 
 
 
 
 
 
 
 
 What you'll do
 
 
 <ul>
 <li>
 Assist in the development and implementation of Natural Language Processing (NLP) models and LLMs
 </li>
 <li>
 Apply problem-solving skills to assist in the development of products and solutions, with a focus on learning and growth
 </li>
 <li>
 Support in pretraining and fine-tuning Large Language Models (LLMs), task solvers, and RAG.
 </li>
 <li>
 Collaborate with cross-functional teams to implement models, monitor outcomes, and iterate on solutions
 </li>
 <li>
 Conduct data analysis and exploratory research to uncover patterns, trends, and insights that can improve model performance and drive business outcomes.
 </li>
 <li>
 Assist in the evaluation and selection of appropriate algorithms, techniques, and methodologies for solving specific NLP problems
 </li>
 <li>
 Collaborate with senior data scientists and managers to document and communicate the results of model development and experiments effectively
 </li>
 <li>
 Stay up to date with the latest advancements in NLP, LLMs, RAG, and related fields, actively seeking opportunities to enhance knowledge and skills
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, Data Science, Engineering, or a related field
 </li>
 <li>
 Proficiency in Arabic language (Native Arabic speaker) is a must. Knowledge of Modern Standard Arabic grammar and morphology is a plus
 </li>
 <li>
 3+ years of experience as a Data Scientist specialized in NLP or similar role
 </li>
 <li>
 Solid understanding of machine learning, natural language processing (NLP), large language models (LLMs), and deep learning techniques
 </li>
 <li>
 Deep expertise in Python's NLP libraries such as NLTK, SpaCy, and Hugging Face Transformers
 </li>
 <li>
 Excellent problem-solving skills and ML system design with an emphasis on product development
 </li>
 <li>
 Hands-on experience in deep learning frameworks such as TensorFlow or PyTorch
 </li>
 <li>
 Experience in R&amp;D is desirable
 </li>
 <li>
 Experience in one or more of the following is a must:
 </li>
 <li>
 LLMs pre-training, fine-tuning, and building LLMs, with demonstrable results
 </li>
 <li>
 Building Advanced (not plain-vanilla) Retrieval-Augmented Generation (RAG)
 </li>
 <li>
 Information Retrieval, Embedders and Re-rankers training and finetuning
 </li>
 <li>
 Sense of Data quality and Data-centric approaches is a plus
 </li>
 <li>
 Experience in model optimization, serving and scalability is a plus
 </li>
 <li>
 Experience in OCR and its advanced techniques is a plus
 </li>
 <li>
 Familiarity with cloud platforms like AWS, GCP, or Azure is a plus
 </li>
 <li>
 Must be Humble, Excellent, Relevant with a high sense of Ownership
 </li>
 </ul>
 
 
 
 
 
 Benefits
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
 </li>
 <li>
 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
 </li>
 <li>
 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best.
 </li>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in Al.
 </li>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
 </li>
 </ul>
 
 
</div>

Data Scientist

SmartChoice International UAE

<div>
 
 
 Role: AI Engineer
 
 
 
 
 Onsite in Riyadh, KSA
 
 
 
 
 
 
 
 Role Overview
 
 
 
 We&rsquo;re seeking an experienced and innovative
 
 AI/ML Engineer
 
 to help design and deploy cutting-edge machine learning models across real-world applications.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy production-grade
 
 AI/ML models
 
 </li>
 <li>
 Work across use cases such as
 
 natural language processing (NLP)
 
 ,
 
 recommendation systems
 
 ,
 
 generative AI
 
 ,
 
 classification models
 
 , and
 
 voice or image recognition
 
 </li>
 <li>
 Integrate AI functionality into applications using
 
 Node.js
 
 ,
 
 JavaScript
 
 , and other modern frameworks
 </li>
 <li>
 Collaborate with frontend and backend engineering teams to embed AI features into
 
 mobile and web products
 
 </li>
 <li>
 Leverage past experience in shipping AI capabilities into real-world applications (e.g.,
 
 LLMs
 
 , recommendation engines,
 
 voice assistants
 
 , or
 
 computer vision
 
 )
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 
 5+ years of hands-on experience
 
 in AI/ML engineering with clear evidence of deployed AI-powered features
 </li>
 <li>
 Proficiency in
 
 Python
 
 and
 
 JavaScript/TypeScript
 
 </li>
 <li>
 Strong grasp of
 
 algorithms
 
 ,
 
 data structures
 
 ,
 
 data architecture
 
 , and
 
 large-scale model handling
 
 </li>
 <li>
 Experience with
 
 ML frameworks
 
 such as
 
 TensorFlow
 
 ,
 
 PyTorch
 
 , and
 
 scikit-learn
 
 </li>
 <li>
 Deep understanding of
 
 model training
 
 ,
 
 fine-tuning
 
 , evaluation metrics, and optimization strategies
 </li>
 <li>
 Familiarity with building and maintaining
 
 data pipelines
 
 </li>
 </ul>
 
 
</div>

Artificial Intelligence Engineer

CodeNinja

Job Summary: 
We are looking for an AI Software Engineer to design, build, and deploy cutting-edge AI/ML solutions for financial services. This role involves working on fraud detection, risk assessment, robo-advisory, LLM-based applications, and cloud-native AI systems. The ideal candidate will have 5+ years of software development experience and at least 2+ years in AI/ML production environments, with expertise across ML frameworks, cloud infrastructure, and full-stack engineering. You will collaborate with product, data science, and compliance teams to deliver innovative, scalable, and compliant AI solutions.
 
Key Responsibilities: 
<ul>
<li>Design, develop, and deploy AI/ML models for financial applications (fraud detection, risk assessment, robo-advisory, etc.).</li>
<li>Build and optimize end-to-end ML pipelines (data ingestion → preprocessing → deployment → monitoring).</li>
<li>Implement LLM-based solutions using OpenAI, Anthropic, Hugging Face, LangChain, LlamaIndex.</li>
<li>Develop and maintain cloud-native architectures (AWS, GCP, Azure).</li>
<li>Apply MLOps best practices: CI/CD for ML, automated testing, observability.</li>
<li>Collaborate with product managers, data scientists, and compliance teams.</li>
<li>Drive rapid prototyping through POCs and MVPs.</li>
<li>Ensure compliance with cybersecurity and regulatory standards (explainable AI, bias detection, SAMA).</li>
<li>Contribute to open-source projects and stay updated with AI/ML advancements.</li>
</ul>
Requirements: 
Essential Qualifications: 
<ul>
<li>5+ years of professional software development experience.</li>
<li>2+ years of hands-on experience in AI/ML production environments.</li>
<li>Expertise in AI/ML frameworks (TensorFlow, PyTorch, scikit-learn).</li>
<li>Proficiency with LLM frameworks (OpenAI, Anthropic, Hugging Face, LangChain, LlamaIndex).</li>
<li>Experience in prompt engineering, fine-tuning, and RAG architectures.</li>
<li>Strong knowledge of MLOps pipelines, CI/CD practices, and model deployment.</li>
<li>Advanced proficiency with cloud platforms (AWS, GCP, or Azure).</li>
<li>Familiarity with Infrastructure as Code (Terraform, CloudFormation, Pulumi).</li>
<li>Solid experience with backend & frontend development (Node.js, FastAPI, Django, React, Next.js, etc.).</li>
<li>Knowledge of databases, APIs, container orchestration (Kubernetes, Docker), and DevOps tools.</li>
</ul>
Preferred Qualifications: 
<ul>
<li>Experience in AI solutions for financial services.</li>
<li>Knowledge of edge AI and device-level inference optimization.</li>
<li>Background in quantitative finance or algorithmic trading.</li>
<li>Familiarity with blockchain / distributed ledger technologies.</li>
<li>Publications, research contributions, or conference presentations in AI/ML.</li>
<li>Proficiency in Arabic NLP and language models (technical skill, not necessarily spoken fluency).</li>
<li>Previous startup or venture studio experience.</li>
<li>Domain expertise in computer vision, NLP, time-series forecasting, or recommender systems.</li>
</ul>
Critical Competencies: 
<ul>
<li>Builder Mentality: Focused on delivering working AI systems, not just designs.</li>
<li>Problem-Solving: Ability to tackle complex, ambiguous challenges with speed.</li>
<li>Technical Leadership: Influences design and architecture decisions.</li>
<li>Innovation Drive: Passion for applying cutting-edge AI in real-world fintech use cases.</li>
<li>Rapid Prototyping: Skilled at building POCs and MVPs to validate ideas.</li>
<li>Collaboration: Strong communicator, effective with cross-functional teams.</li>
<li>Learning Agility: Continuously stays ahead of AI/ML advancements.</li>
<li>Pragmatic Approach: Balances technical excellence with business priorities and time-to-market.</li>
</ul>

Applied AI Engineer - Financial Services

Synechron

<div>
 
 Job Title: Senior Technical Project Manager &ndash; Emerging Technologies (AI/ IOT / ML)
 
 
 Experience &ndash; 10+ Years (7 years in Project Management)
 
 
 
 
 
 For this role, Candidates having solid hands-on experience preferable in:
 
 
 &bull; Should have substantial experience in managing projects within the realms of Artificial Intelligence, IoT, Data Engineering, and Analytics.
 
 
 &bull; Familiarity with agile and waterfall project management methodologies.
 
 
 &bull; Proficiency in project management software tools.
 
 
 &bull; Should be proactive leader who can oversee technical projects from inception to completion, ensuring they align with business objectives and are delivered on time, within scope, and budget.
 
 
 &bull; Lead and manage multiple technical projects, ensuring alignment with business goals.
 
 
 &bull; Develop comprehensive project plans that merge customer requirements with company goals and coordinate various technical personnel during all project phases.
 
 
 &bull; Monitor project progress continuously and make detailed scheduled reports on measurable items, such as milestones and deliverables.
 
 
 &bull; Communicate proactively with all involved personnel to provide encouragement, identify problems, create solutions, and implement efficiency improvements.
 
 
 &bull; Experience with risk management and strategic planning.
 
 
 &bull; Collaborate with cross-functional teams to ensure resource availability and allocation.
 
 
 &bull; Develop and manage project budgets and resource allocation, ensuring financial objectives are met.
 
 
 &bull; Foster strong relationships with stakeholders, providing regular updates and addressing any concerns.
 
 
 &bull; Utilize industry best practices, techniques, and standards throughout the entire project execution. &bull; Should have PMP or equivalent project management certification.
 
 
 &bull; Demonstrated ability to lead projects from inception to completion, ensuring delivery within scope, time, and budget constraints.
 
 
 
 
 
 
 Education &amp; Technical Background
 
 
 
 &bull; Bachelor&rsquo;s or engineering degree in engineering or a related technical field
 
 
 &bull; Proven development background in Emerging Technologies, specifically:
 
 
 - Artificial Intelligence (AI)
 
 
 - Internet of Things (IoT)
 
 
 - Data Science
 
 
 - Machine Learning (ML)
 
 
 
 
 
 
 Experience Requirements
 
 
 
 &bull; Minimum 7 years in Project Management
 
 
 &bull; Maximum 14 years total professional experience
 
 
 
 
 
 
 Methodologies &amp; Skills
 
 
 
 &bull; Strong command of Agile and Kanban frameworks
 
 
 &bull; Demonstrated ability to lead cross-functional teams and deliver complex tech projects
 
 
 &bull; Familiarity with enterprise software development lifecycles and integration practices
 
 
 
 
 
 
 Communication &amp; Language
 
 
 
 &bull; Excellent verbal and written communication skills in Arabic and English
 
 
 &bull; Capable of stakeholder engagement across technical and executive domains
 
</div>

Senior Technical Project Manager

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1378 senior data scientist senior ml engineer jobs IN Riyadh

Senior Data Scientist / Senior ML Engineer

Senior Data Scientist / Senior ML Engineer

Senior Data Scientist

Data Scientist

Artificial Intelligence Engineer

Applied AI Engineer - Financial Services

Senior Technical Project Manager