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principal ai engineer

Finaira

<div>The Principal AI Engineer provides technical leadership and direction for a team of AI Engineer, overseeing the end-to-end development and deployment of significant AI initiatives. This role involves driving technical strategy, setting best practices, mentoring team members, and ensuring the delivery of high-quality, impactful AI solutions that align with business objectives. 
Focus: End-to-End Initiative Leadership, AI/ML Strategy &amp; Mentorship
The difference you will make:<ul><li>
Provide technical leadership, guidance, and mentorship to a team of AI Engineer.</li><li>
Architect, design, and oversee the implementation of complex AI/ML systems and platforms from conception to production.</li><li>
Drive the technical roadmap for AI projects, translating business requirements into technical specifications and actionable plans.</li><li>
Champion best practices in AI/ML engineering, MLOps, software development, code quality, and testing.</li><li>
Lead technical discussions, architectural reviews, and problem-solving sessions within the team and across departments.</li><li>
Collaborate closely with product management, data science, and other engineering teams to define project scope, technical feasibility, and resource allocation.</li><li>
Identify and evaluate new technologies, tools, and methodologies to enhance the team's capabilities and efficiency.</li><li>
Conduct performance evaluations and provide constructive feedback to team members, contributing to their professional growth.</li><li>
Act as a primary technical point of contact for stakeholders regarding AI solutions.</li><li>
Hands-on contribution to critical code components, architectural design, and complex problem-solving.</li></ul> 

Requirements 
What you will bring to the role:
Education:<ul><li>
Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Master's degree or Ph.D. highly preferred.</li></ul>
Experience:<ul><li>
8+ years of extensive experience in AI/ML engineering, with at least 2-3 years in a technical leadership or lead engineer role, successfully leading significant AI projects from end-to-end.</li></ul>
Technical Skills:<ul><li>
Expert proficiency in Python and deep expertise in multiple AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras).</li><li>
Demonstrated experience in designing and implementing large-scale, production-grade AI systems, including distributed training and serving.</li></ul><ul><li>
In-depth knowledge and practical experience with MLOps principles, tools, and platforms (e.g., Kubeflow, MLflow, Airflow, Docker, Kubernetes).</li><li>
Strong architectural skills for building robust, scalable, and maintainable AI infrastructures.</li><li>
Proficiency in cloud environments (AWS, Azure, GCP) and their AI/ML services.</li><li>
Excellent understanding of data engineering principles, data governance, and database technologies.</li><li>
Ability to evaluate and make sound technical decisions on complex trade-offs.</li></ul>
Soft Skills:<ul><li>
Exceptional leadership, communication, and presentation skills, with the ability to influence and persuade stakeholders at all levels, including executive leadership.</li><li>
Proven ability to think strategically and translate complex business challenges into innovative and impactful data science initiatives.</li><li>
Strong mentoring and coaching skills, with a passion for developing the talents of junior team members.</li><li>
Excellent collaboration and negotiation skills, with the ability to work effectively across diverse, cross-functional teams and build strong relationships.</li></ul>
Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.</div>

Principal AI Engineer

<div>
 
 The Principal AI Engineer provides technical leadership and direction for a team of AI Engineers, overseeing the end-to-end development and deployment of significant AI initiatives. This role involves driving technical strategy, setting best practices, mentoring team members, and ensuring the delivery of high-quality, impactful AI solutions that align with business objectives. Focus: End-to-End Initiative Leadership, AI/ML Strategy &amp; Mentorship.
 
 
 
 
 
 The difference you will make
 
 <ul>
 <li>
 Provide technical leadership, guidance, and mentorship to a team of AI Engineers.
 </li>
 <li>
 Architect, design, and oversee the implementation of complex AI/ML systems and platforms from conception to production.
 </li>
 <li>
 Drive the technical roadmap for AI projects, translating business requirements into technical specifications and actionable plans.
 </li>
 <li>
 Champion best practices in AI/ML engineering, MLOps, software development, code quality, and testing.
 </li>
 <li>
 Lead technical discussions, architectural reviews, and problem-solving sessions within the team and across departments.
 </li>
 <li>
 Collaborate closely with product management, data science, and other engineering teams to define project scope, technical feasibility, and resource allocation.
 </li>
 <li>
 Identify and evaluate new technologies, tools, and methodologies to enhance the team's capabilities and efficiency.
 </li>
 <li>
 Conduct performance evaluations and provide constructive feedback to team members, contributing to their professional growth.
 </li>
 <li>
 Act as a primary technical point of contact for stakeholders regarding AI solutions.
 </li>
 <li>
 Hands-on contribution to critical code components, architectural design, and complex problem-solving.
 </li>
 </ul>
 
 
 
 
 What you will bring to the role
 
 
 Education: Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Master's degree or Ph.D. highly preferred.
 
 
 
 
 
 Experience: 8+ years of extensive experience in AI/ML engineering, with at least 2-3 years in a technical leadership or lead engineer role, successfully leading significant AI projects from end-to-end.
 
 
 
 
 
 Technical Skills:
 
 <ul>
 <li>
 Expert proficiency in Python and deep expertise in multiple AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras).
 </li>
 <li>
 Demonstrated experience in designing and implementing large-scale, production-grade AI systems, including distributed training and serving.
 </li>
 <li>
 In-depth knowledge and practical experience with MLOps principles, tools, and platforms (e.g., Kubeflow, MLflow, Airflow, Docker, Kubernetes).
 </li>
 <li>
 Strong architectural skills for building robust, scalable, and maintainable AI infrastructures. o Proficiency in cloud environments (AWS, Azure, GCP) and their AI/ML services.
 </li>
 <li>
 Excellent understanding of data engineering principles, data governance, and database technologies.
 </li>
 <li>
 Ability to evaluate and make sound technical decisions on complex trade-offs.
 </li>
 </ul>
 
 
 
 
 Soft Skills:
 
 <ul>
 <li>
 Strong ownership and accountability for assigned work.
 </li>
 <li>
 Clear and professional verbal and written communication.
 </li>
 <li>
 Effective time management and task prioritization.
 </li>
 <li>
 Analytical thinking and problem-solving skills.
 </li>
 <li>
 Ability to work independently, collaborate effectively and mentor junior team members.
 </li>
 <li>
 Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
 </li>
 <li>
 Adaptability and learning agility in a fast-paced environment.
 </li>
 <li>
 Strong attention to detail and a commitment to quality.
 </li>
 <li>
 Receptiveness to feedback and continuous improvement mindset.
 </li>
 </ul>
</div>

e& Egypt

<div>
 
 
 About the Role
 
 
 
 The Quality Assurance Principal Engineer is responsible for leading quality governance, conducting audits, and managing operational risks across business and technology processes. This role ensures compliance with internal standards, regulatory requirements, and industry best practices while driving continuous improvement and operational excellence.
 
 
 
 
 
 
 Responsibilities
 
 
 
 Process Audits
 
 <ul>
 <li>
 Lead and execute end-to-end process audits to assess compliance, effectiveness, and efficiency.
 </li>
 <li>
 Identify gaps, risks, and improvement opportunities and drive corrective action plans.
 </li>
 <li>
 Establish audit frameworks, checklists, and reporting standards.
 </li>
 </ul>
 
 
 
 Process Governance
 
 <ul>
 <li>
 Define, implement, and maintain quality governance frameworks across engineering and business operations.
 </li>
 <li>
 Ensure adherence to policies, SOPs, regulatory standards, and organizational controls.
 </li>
 <li>
 Act as a subject matter expert for quality processes and compliance best practices.
 </li>
 </ul>
 
 
 
 Business Audits
 
 <ul>
 <li>
 Conduct business function audits including operational, financial, and regulatory compliance areas.
 </li>
 <li>
 Evaluate business controls, risk exposure, and operational maturity.
 </li>
 <li>
 Partner with leadership teams to implement risk mitigation and performance improvement strategies.
 </li>
 </ul>
 
 
 
 Operational Risk Management
 
 <ul>
 <li>
 Identify, assess, and monitor operational risks across processes and projects.
 </li>
 <li>
 Develop risk mitigation plans and ensure timely closure of risk findings.
 </li>
 <li>
 Support enterprise risk management initiatives and incident investigations.
 </li>
 </ul>
 
 
 
 Quality Leadership
 
 <ul>
 <li>
 Provide thought leadership and mentoring to quality and audit teams.
 </li>
 <li>
 Influence senior stakeholders on governance, compliance, and continuous improvement initiatives.
 </li>
 <li>
 Drive automation and data-driven quality assurance strategies.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in engineering, Quality Management, Business, or a related field.
 </li>
 <li>
 Proven ability to assess complex systems, identify risks, and drive corrective actions.
 </li>
 <li>
 Excellent stakeholder management and communication skills.
 </li>
 </ul>
 
 
 
 
 
 Required Experience
 
 
 <ul>
 <li>
 2-3 years of experience in quality assurance, audits, governance, or operational risk.
 </li>
 <li>
 Strong experience in process auditing frameworks (ISO, CMMI, ITIL, SOX, or similar).
 </li>
 </ul>
 
 
 
 
 
 Desirable Experience
 
 
 <ul>
 <li>
 Process governance &amp; compliance management
 </li>
 <li>
 Risk assessment &amp; mitigation
 </li>
 <li>
 Audit planning &amp; execution
 </li>
 <li>
 Root cause analysis
 </li>
 <li>
 Data-driven decision making
 </li>
 <li>
 Leadership &amp; influence
 </li>
 </ul>
 
 
 
 
 
 Required Certificates
 
 
 <ul>
 <li>
 Certified Quality Engineer (CQE)
 </li>
 <li>
 Certified Internal Auditor (CIA)
 </li>
 <li>
 Six Sigma Black Belt
 </li>
 <li>
 ISO Lead Auditor
 </li>
 </ul>
</div>

Quality Assurance Principal Engineer

FlairsTech

<div><div><div><div>Requirements and responsibilities<div><h1 class="jobSectionHeader"> 
</h1><h2 class="jobSectionHeader">
AI Product Engineer</h2>
We are looking for an AI Product Engineer to join our team.
Our POS is a leading provider of point of sale and integrated business management solutions built for hospitality and food and beverage businesses. With more than 30 years of industry experience, H&amp;L delivers flexible POS, back of house, inventory, workforce management and reporting systems that help hotels, pubs, restaurants, bars, clubs, caf&eacute;s, liquor retailers and event venues operate efficiently and profitably.
Our platform connects front of house sales with advanced stock control and data management, supports integrations with online ordering, table service and reservations platforms, provides advanced reporting, and integrates with more than 150 hospitality technology partners. Our customer centric approach and deep sector expertise help operators deliver exceptional guest experiences while maintaining visibility, control and sustainable growth across their business.<h3 class="jobSectionHeader">
About the role</h3>
The AI Product Engineer is an AI first builder within our AI Product Engineering capability and AI Pods. This role is responsible for turning customer and business problems into working product solutions by using AI as the default execution medium across design support, implementation, testing, documentation, release preparation and analysis.
This is not a traditional software development role built around rigid handoffs, story point rituals, or narrow ticket execution. The AI Product Engineer moves from problem understanding to working software quickly, while maintaining strong engineering judgment, product awareness, and quality standards.
The role is central to our move toward an agentic product and development lifecycle. It requires end to end ownership across frontend, backend, data, testing, deployment and production reliability. It also requires clear accountability for the areas that must remain human led, including customer problem framing, product judgment, architecture, security, trade off decisions, quality control for edge cases, and release readiness.<h3 class="jobSectionHeader">
What you will do</h3><h4 class="jobSectionHeader">
AI first product building</h4><ul><li>
Build working product solutions using AI as the default approach across coding, testing, debugging, documentation and technical research</li><li>
Rapidly prototype, iterate and refine solutions to validate ideas and accelerate delivery</li><li>
Use AI agents and AI assisted workflows to generate designs, implementations, tests and supporting documentation</li><li>
Contribute to our move toward an agentic product and software delivery model</li></ul><h4 class="jobSectionHeader">
Problem analysis and solution design</h4><ul><li>
Analyse customer and business problems deeply before execution</li><li>
Break ambiguous problems into solvable components and evaluate multiple solution paths</li><li>
Make informed trade-offs between speed, quality, maintainability, security and customer value</li><li>
Apply strong engineering and product judgment to architecture, design and implementation decisions</li></ul><h4 class="jobSectionHeader">
End to end engineering delivery</h4><ul><li>
Build modern, scalable frontend applications using React/Angular and TypeScript</li><li>
Design and implement robust backend services using Node.js</li><li>
Develop and maintain clean, secure and well-structured RESTful APIs</li><li>
Design sound data models and work effectively with relational and non-relational databases</li><li>
Support cloud native services in AWS environments</li><li>
Work with Docker, CI/CD pipelines and automated deployment practices</li><li>
Ensure strong automated test coverage across unit, integration and end to end layers</li></ul><h4 class="jobSectionHeader">
Product and customer value</h4><ul><li>
Partner with Product, Design, Support and customer facing teams to ensure solutions solve real customer problems</li><li>
Participate in customer demos and explain how solutions work and why key design decisions were made</li><li>
Incorporate customer and operational feedback into fast iteration cycles</li><li>
Help ensure shipped capabilities drive measurable adoption, usage and business impact</li></ul><h4 class="jobSectionHeader">
Quality, governance and reliability</h4><ul><li>
Evaluate and improve AI generated outputs for correctness, security, maintainability and fitness for purpose</li><li>
Work within approved AI engineering patterns, tooling standards, review practices and security guardrails</li><li>
Ensure solutions meet both functional and non-functional expectations</li><li>
Support reliable operation in production and continuously improve performance, resilience and maintainability</li><li>
Contribute to engineering review standards for AI generated code, tests and documentation</li></ul><h4 class="jobSectionHeader">
Platform evolution</h4><ul><li>
Develop new product capabilities</li><li>
Integrate customer driven project work into the core platform where appropriate</li><li>
Remove legacy layers and consolidate functionality into a scalable SaaS architecture</li><li>
Refactor incrementally and safely within complex and evolving codebases</li></ul><h3 class="jobSectionHeader">
What this role is not</h3><ul><li>
Not a traditional software developer role focused only on ticket execution</li><li>
Not limited to coding work handed off without context or ownership</li><li>
Not bound by rigid SDLC stages that separate thinking from building</li><li>
Not an AI experimentation role without accountability for quality, adoption and outcomes</li></ul><h3 class="jobSectionHeader">
What success looks like</h3>
Success in this role will be measured through:<ul><li>
Reduced cycle time from problem definition to working solution</li><li>
High quality and reliable shipped outcomes</li><li>
Strong adoption and usage of delivered capabilities</li><li>
Improved engineering leverage and throughput</li><li>
Contribution to customer and commercial outcomes</li><li>
Effective use of AI without compromising quality, security or judgment</li></ul><h3 class="jobSectionHeader">
Requirements</h3><h4 class="jobSectionHeader">
Frontend</h4><ul><li>
Deep experience with React, Angular and TypeScript in production grade applications</li><li>
Strong proficiency in modern JavaScript, HTML5 and CSS3</li><li>
Experience designing scalable and maintainable frontend architectures</li><li>
Experience integrating RESTful APIs</li></ul><h4 class="jobSectionHeader">
Backend</h4><ul><li>
Extensive experience designing and implementing backend systems using Node.js</li><li>
Strong experience building RESTful APIs</li><li>
Solid understanding of relational databases, data modelling and query optimisation</li><li>
Experience with asynchronous processing and system integration</li></ul><h4 class="jobSectionHeader">
Core capabilities</h4><ul><li>
Strong ability to build working software using AI tools and AI assisted engineering workflows</li><li>
Experience rapidly prototyping and iterating on product ideas</li><li>
Understanding of AI system behaviour, limitations and failure modes</li><li>
Ability to reason across systems end to end</li><li>
Comfort moving independently from problem statement to implementation</li><li>
Ability to evaluate and improve AI generated outputs</li><li>
Strong debugging and problem-solving capability</li><li>
Strong understanding of software quality, testing and maintainability</li></ul><h4 class="jobSectionHeader">
Testing and quality</h4><ul><li>
Experience writing automated unit and integration tests</li><li>
Familiarity with end-to-end testing frameworks such as Cypress, Jest, TestCafe or similar</li><li>
Strong understanding of test strategy and testable architecture</li><li>
Experience working with CI/CD pipelines and automated test execution</li></ul><h4 class="jobSectionHeader">
Cloud and operations</h4><ul><li>
Experience working in AWS hosted SaaS environments</li><li>
Experience with Docker and containerised deployments</li><li>
Experience troubleshooting production systems</li></ul><h4 class="jobSectionHeader">
General engineering</h4><ul><li>
Strong architectural thinking across the full stack</li><li>
Experience working in complex and evolving codebases</li><li>
Proven ability to refactor legacy systems incrementally and safely</li><li>
Strong debugging and performance optimisation skills</li><li>
Experience mentoring engineers or leading technical initiatives</li></ul><h3 class="jobSectionHeader">
Nice to have</h3><ul><li>
Experience with event driven systems such as Kafka</li><li>
Familiarity with monitoring and observability tooling</li><li>
Experience integrating AI APIs into business workflows</li><li>
Knowledge of DevOps best practices and infrastructure automation</li><li>
Experience in hospitality, retail, POS, or other multi-site operational SaaS environments</li></ul></div></div></div></div></div>

AI Product Engineer

<div>The Senior AI Engineer is a senior individual contributor with deep expertise in a specific domain of AI/ML, responsible for tackling the most complex technical challenges, driving architectural decisions for critical AI components, and setting technical standards. This role requires a blend of advanced research understanding and robust engineering skills to bring cutting-edge AI innovations into production.
The difference you will make<ul><li>
Act as a subject matter expert in one or more specialized AI/ML domains (e.g., Generative AI, Explainable AI, Large Language Models, Reinforcement Learning, Real-time Anomaly Detection).
</li><li>Lead the design and implementation of highly scalable, fault-tolerant, and high-performance AI systems and infrastructure.
</li><li>Evaluate and integrate new AI/ML research, algorithms, and technologies into product development.
</li><li>Drive continuous improvement in MLOps, model monitoring, and model governance frameworks.
</li><li>Provide expert technical guidance and mentorship to other AI Engineer 1s and Associates.
</li><li>Conduct complex performance tuning, optimization, and debugging of AI/ML models and pipelines.
</li><li>Participate in strategic planning for AI initiatives, identifying opportunities for technological advancement.
</li><li>Influence technical direction and architecture discussions within the AI/ML team and across engineering.
</li><li>Lead code reviews for critical components, ensuring architectural integrity, performance, and maintainability.</li></ul> 

Requirements 
Education:
<ul><li>Bachelor&rsquo;s degree or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative field.
</li></ul>Experience:
<ul><li>5+ years of progressive experience in AI/ML engineering, with a proven track record of designing and deploying complex AI systems into production.
</li><li>Demonstrated deep expertise in a specific AI sub-field.</li></ul>
Technical Skills:
<ul><li>Expert-level proficiency in Python and advanced ML/DL frameworks (e.g., PyTorch, TensorFlow, JAX).
</li><li>Extensive experience with cloud-native AI/ML services and distributed computing frameworks (e.g., Spark, Ray).
</li><li>Deep understanding and hands-on experience with MLOps best practices, including CI/CD, model serving, and monitoring in production environments.
</li><li>Strong architectural design skills for complex data pipelines and scalable AI inference systems.
</li><li>Proficiency in system design, distributed systems, and performance optimization.
</li><li>Ability to critically evaluate and apply academic research to real-world problems.</li></ul>
Soft Skills:
<ul><li>Strong ownership and accountability for assigned work.
</li><li>Clear and professional verbal and written communication.
</li><li>Effective time management and task prioritization. o Analytical thinking and problem-solving skills.
</li><li>Ability to work independently, collaborate effectively and mentor junior team members.
</li><li>Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
</li><li>Adaptability and learning agility in a fast-paced environment.
</li><li>Strong attention to detail and a commitment to quality.
</li><li>Receptiveness to feedback and continuous improvement mindset</li></ul>
Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.</div>

Senior AI Engineer

ITGoals

Company OverviewITGoals is a dynamic and innovative company committed to driving growth and delivering exceptional digital solutions. We foster a collaborative and inclusive work environment where creativity and technical excellence thrive&mdash;working from Cairo with international collaboration.Job DescriptionAs an AI Engineer at ITGoals, you will help design, develop, and deploy production-grade AI systems that bridge cutting-edge research and real-world product delivery. You&rsquo;ll work across the full lifecycle, from experimentation and evaluation to scalable deployment, collaborating closely with product, engineering, and data teams to deliver reliable, responsible, and high-performing AI capabilities.Key Responsibilities<ul><li>Design and implement machine learning and deep learning models aligned with product and business goals.</li><li>Develop and optimize LLM-based systems (e.g., fine-tuning, prompt engineering, RAG), generative AI solutions, and/or predictive models.</li><li>Build scalable AI pipelines from experimentation to production, including training, evaluation, deployment, and monitoring (MLOps).</li><li>Collaborate with product, engineering, and data stakeholders to define requirements, success metrics, and delivery plans for AI features.</li><li>Ensure model performance, robustness, explainability, and ethical compliance across the development lifecycle.</li><li>Continuously evaluate emerging AI research and tools, proposing pragmatic integrations that improve product outcomes.</li><li>Contribute to operational excellence: reproducibility, documentation, testing, and incident response for AI services in live environments.</li></ul>Required Skills<ul><li>Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, and/or JAX).</li><li>Hands-on experience with large language models, including fine-tuning, prompt engineering, and/or retrieval-augmented generation (RAG).</li><li>Solid understanding of statistics, optimization, and model evaluation methodologies (metrics, validation strategies, error analysis).</li><li>Experience deploying AI systems on cloud platforms (AWS, GCP, and/or Azure).</li><li>Knowledge of containerization and orchestration (Docker, Kubernetes).</li><li>Familiarity with CI/CD practices and scalable inference infrastructure (batch/real-time serving, monitoring, versioning).</li><li>Strong problem-solving skills, ownership mindset, and clear technical communication in a collaborative environment.</li></ul>Nice to Have<ul><li>Experience with multimodal AI systems (text + image/audio/video).</li><li>Background in reinforcement learning and/or advanced NLP techniques.</li><li>Published research, technical writing, or contributions to open-source AI projects.</li><li>Experience working in high-growth startup environments and shipping quickly with high quality.</li></ul>What Success Looks Like<ul><li>You deliver AI features that are measurable, reliable, and aligned with product goals&mdash;moving from prototype to production with strong engineering discipline.</li><li>You improve model quality and efficiency through thoughtful experimentation, optimization, and rigorous evaluation.</li><li>You help establish scalable MLOps practices (reproducibility, monitoring, deployment automation) that make AI delivery predictable.</li><li>You communicate trade-offs clearly and collaborate effectively across teams to unblock progress and maintain high standards.</li><li>You uphold responsible AI principles, ensuring solutions are robust, explainable where needed, and ethically developed.</li></ul>Additional InformationWe&rsquo;re looking for a technically rigorous AI Engineer who enjoys balancing experimentation with production constraints and takes pride in building systems that perform well in real-world conditions. If you&rsquo;re excited about deploying modern AI (including LLM-powered systems) in live products and working with a collaborative, international team, you&rsquo;ll feel at home at ITGoals.Job Type: Full-time

AI Engineer - Senior

<div>
 
 The Principal Data Scientist will provide strategic technical leadership and direction for data science initiatives across the organization, particularly within the financial sector. This role is responsible for driving innovation, setting technical standards, mentoring a team of data scientists, and collaborating with senior stakeholders to define and deliver high-impact AI and machine learning solutions that align with business strategy and drive significant value.
 
 
 
 
 
 
 
 
 
 The difference you will make
 
 
 <ul>
 <li>
 Define the technical data science strategy and roadmap.
 </li>
 <li>
 Lead the research and development of cutting-edge AI solutions.
 </li>
 <li>
 Evaluate and implement new data science technologies and platforms.
 </li>
 <li>
 Provide technical leadership and guidance to the data science team.
 </li>
 <li>
 Ensure the scalability and reliability of data science infrastructure.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Master&rsquo;s degree or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field with an exceptional academic record
 </li>
 </ul>
 
 
 Experience:
 
 
 <ul>
 <li>
 8+ years of progressive experience in data science, with more than 2 years spent leading and successfully delivering complex AI/ML projects with demonstrable business impact
 </li>
 <li>
 Extensive and deep experience in the financial services industry, with a comprehensive understanding of financial data, regulations, and business challenges
 </li>
 <li>
 Proven experience in leading and mentoring data science teams
 </li>
 <li>
 A strong portfolio showcasing the successful application of AI/ML to solve significant financial problems (e.g., transformative fraud prevention systems, advanced risk management platforms, high-impact algorithmic trading strategies, game-changing customer analytics solutions)
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Expert-level mastery in multiple programming languages relevant to data science (e.g., Python, R, Scala, Java) and their associated libraries and frameworks.
 </li>
 <li>
 Deep and comprehensive expertise across a wide range of machine learning frameworks, including advanced knowledge of deep learning architectures and specialized tools.
 </li>
 <li>
 Exceptional understanding of both foundational and cutting-edge statistical concepts and ML algorithms, including deep learning architecture and specialized tools.
 </li>
 <li>
 Deep understanding of Data and AI governance frameworks and requirements.
 </li>
 <li>
 Advanced mathematical skills, demonstrating a strong theoretical understanding and practical application to complex financial problems.
 </li>
 <li>
 Expert-level proficiency in SQL and a variety of database management systems (both relational and NoSQL), with the ability to design and optimize data storage and retrieval for large-scale AI/ML applications.
 </li>
 <li>
 Extensive experience with advanced data visualization tools and the ability to communicate complex insights to executive audiences through compelling visuals and narratives.
 </li>
 <li>
 Deep and practical experience with cloud computing platforms (AWS, Azure, GCP) and their comprehensive suite of AI/ML services, including architecting and deploying scalable solutions.
 </li>
 <li>
 Proven expertise in designing and working with large, complex data sets and big data technologies (Hadoop, Spark, etc.), including the ability to optimize data processing workflows for performance and scalability.
 </li>
 <li>
 Mastery of various distributed databases (Hive, Impala, Redis, etc.) and a proven ability to design and implement efficient data storage and access patterns for AI/ML workloads.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Strong ownership and accountability for assigned work.
 </li>
 <li>
 Clear and professional verbal and written communication.
 </li>
 <li>
 Effective time management and task prioritization.
 </li>
 <li>
 Analytical thinking and problem-solving skills.
 </li>
 <li>
 Ability to work independently, collaborate effectively and mentor junior team members.
 </li>
 <li>
 Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
 </li>
 <li>
 Adaptability and learning agility in a fast-paced environment.
 </li>
 <li>
 Strong attention to detail and a commitment to quality.
 </li>
 <li>
 Receptiveness to feedback and continuous improvement mindset.
 </li>
 </ul>
 
 
 
 
 .
 
</div>

Principal Data Scientist

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428 principal ai engineer jobs In Egypt

Principal AI Engineer

Principal AI Engineer

Quality Assurance Principal Engineer

AI Product Engineer

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AI Engineer - Senior

Principal Data Scientist