machine learning engineering manager

Finaira

<div>At FinAIra, we are building the future of financial services, powered by intelligent, data-driven systems. We are seeking a foundational leader for our AI &amp; Machine Learning track. This is a core technology leadership position focused on research, development, and productization, acting as the bridge between our most advanced technical capabilities and the strategic needs of our financial services clients. You will be responsible for the strategic oversight and delivery of critical FinTech products or services. You will lead a team of top-tier scientists and engineers to build proprietary machine learning models that will become our core intellectual property and competitive advantage in the banking and FinTech landscape.
The difference you will make:<ul><li>Recruit, lead, and mentor teams of world-class data scientists and engineers, fostering a culture of research, innovation, and engineering excellence.</li><li>Drive the technical vision and architecture for our AI/ML platform. Design and oversee the development of scalable, production-grade machine learning systems for applications such as fraud detection, credit risk modeling, and agentic AI.</li><li>Partner with business development and product management to define new AI-powered service offerings. Ensure our R&amp;D roadmap is directly aligned with market opportunities, revenue goals, and client demand.</li><li>Act as the firm's senior technical expert on AI/ML in high-stakes client engagements, discovery workshops, and strategic planning sessions. Translate complex client challenges into tractable machine learning problems.</li><li>Guide the team through the entire ML lifecycle, from data ingestion and feature engineering to model training, deployment, and monitoring. You are expected to be able to dive deep into the code and mathematical foundations.</li><li>Implement and enforce best practices for the machine learning development lifecycle (MLOps) to ensure robust, repeatable, and high-quality delivery of our AI solutions to clients.</li><li>Develop and articulate our firm's point of view on the application of AI in banking and fintech, representing the company through white papers, conference presentations, and executive briefings.</li><li>Proactively manage complex service incidents, problems, and changes, ensuring effective communication and resolution with stakeholders.</li><li>Drive continuous service improvement initiatives, leveraging data analysis and client feedback to enhance value delivery.</li><li>Lead the gathering of critical client feedback and collaborate strategically with business development to enhance service offerings and shape product roadmaps.</li></ul> 
 
 
 
Requirements 
What you will bring to the role:
Education:<ul><li>
Bachelor&rsquo;s degree in computer science, Business Administration, or a related field. ITIL Expert or other advanced service management certifications strongly preferred.</li></ul>
Education:<ul><li>
8+ years of professional experience in data science or machine learning, with at least 3 years in a technical leadership or management role.</li></ul>
Technical Skills:<ul><li>
Experience in a client-facing or technical advisory role, with the ability to communicate complex machine learning concepts to both technical and executive audiences.</li><li>
Expert-level proficiency in Python and ML frameworks like TensorFlow, PyTorch, or JAX.</li><li>
Demonstrable experience architecting and deploying ML models into a production environment on a major cloud &amp; on-prem platform (AWS, GCP, Azure, Cloudera)</li><li>
Strong theoretical understanding of a broad range of machine learning concepts, including deep learning, NLP, and statistical modeling.</li></ul>
Preferred Qualifications:<ul><li>
Experience building and scaling an AI/ML team from an early stage.</li><li>
Direct experience in the fintech or banking industry, particularly with financial data (e.g., time-series analysis, credit scoring, anti-money laundering (AML)).</li><li>
A track record of publications in top-tier AI conferences (e.g., NeurIPS, ICML, KDD).</li><li>
Experience defining go-to-market strategies for technology-driven products or service.</li></ul>
Soft Skills:<ul><li>
Proven ability to inspire, motivate, and mentor senior technical teams and managers.</li><li>
Outstanding analytical, critical thinking, and complex problem-solving skills, with a focus on systemic improvements and strategic impact.</li><li>
Superior communication (verbal, written, executive presentations) and negotiation skills, capable of influencing at the executive and board levels.</li><li>
Strong business acumen with the ability to translate technical AI/ML capabilities into strategic business value and revenue opportunities.</li><li>
Demonstrated ability to drive cultural change towards innovation and excellence in AI/ML engineering.</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>

Manager, AI Services Engineering

<div>
 At FinAIra, we are building the future of financial services, powered by intelligent, data-driven systems. We are seeking a foundational leader for our AI &amp; Machine Learning track. This is a core technology leadership position focused on research, development, and productization, acting as the bridge between our most advanced technical capabilities and the strategic needs of our financial services clients. You will be responsible for the strategic oversight and delivery of critical FinTech products or services. You will lead a team of top-tier scientists and engineers to build proprietary machine learning models that will become our core intellectual property and competitive advantage in the banking and FinTech landscape. This role will oversee multiple teams or complex AI/ML initiatives, drive the strategic direction and ensure the successful delivery of transformative AI solutions at scale.
 
 
 
 The difference you will make:
 
 
 
 <ul>
 <li>
 Recruit, lead, and mentor teams of world-class data scientists and engineers, fostering a culture of research, innovation, and engineering excellence. This includes managing other managers and lead individual contributors
 </li>
 <li>
 Drive the technical vision and architecture for our AI/ML platform across multiple initiatives. Design and oversee the development of scalable, production-grade machine learning systems for applications such as fraud detection, credit risk modeling, and agentic AI
 </li>
 <li>
 Partner with business development and product management to define new AI-powered service offerings. Ensure our R&amp;D roadmap is directly aligned with market opportunities, revenue goals, and client demand
 </li>
 <li>
 Act as the firm's senior technical expert on AI/ML in high-stakes client engagements, discovery workshops, and strategic planning sessions. Translate complex client challenges into tractable machine learning problems
 </li>
 <li>
 Guide multiple teams through the entire ML lifecycle, from data ingestion and feature engineering to model training, deployment, and monitoring. You are expected to be able to dive deep into the code and mathematical foundations, providing high-level technical guidance and troubleshooting
 </li>
 <li>
 Implement and enforce best practices for the machine learning development lifecycle (MLOps) across the organization to ensure robust, repeatable, and high-quality delivery of our AI solutions to clients
 </li>
 <li>
 Develop and articulate our firm's point of view on the application of AI in banking and FinTech, representing the company through white papers, conference presentations, and executive briefings
 </li>
 <li>
 Proactively manage complex service incidents, problems, and changes across multiple projects or product lines, ensuring effective communication and resolution with stakeholders
 </li>
 <li>
 Drive continuous service improvement initiatives, leveraging data analysis and client feedback to enhance value delivery
 </li>
 <li>
 Lead the gathering of critical client feedback and collaborate strategically with business development to enhance service offerings and shape product roadmaps
 </li>
 <li>
 Manage budget, resources, and project portfolios for the AI/ML service engineering function, ensuring alignment with strategic objectives
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 What you will bring to the role:
 
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, Business Administration, or a related field. ITIL Expert or other advanced service management certifications strongly preferred
 </li>
 <li>
 Experience: 5+ years of hands-on software engineering experience, with at least 2 years in a leadership role managing software development teams
 </li>
 <li>
 Proven ability to engage with stakeholders and clients to define technical requirements and contribute to architecting enterprise-grade solutions
 </li>
 <li>
 Proven experience architecting, building, and operating scalable, distributed systems in cloud &amp; on-prem environments (AWS, GCP, Azure, Openshift, etc.)
 </li>
 <li>
 Expertise in modern backend development using languages like Go, Kotlin, Java, or Python
 </li>
 <li>
 Deep, practical experience with containerization and orchestration (Docker, Kubernetes), infrastructure as code (Terraform, Pulumi), and CI/CD tools
 </li>
 <li>
 Knowledge of Agile methodologies and practices
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience building financial-grade systems in banking, FinTech, or trading
 </li>
 <li>
 Experience in a professional services or technical consulting environment, delivering enterprise solutions
 </li>
 <li>
 Experience building a Platform-as-a-Service (PaaS) or developer platform for internal teams
 </li>
 <li>
 Knowledge of network architecture and cybersecurity principles
 </li>
 <li>
 Soft Skills:
 </li>
 <li>
 Strong leadership and people management skills
 </li>
 <li>
 Ability to inspire, motivate, and mentor software engineering teams
 </li>
 <li>
 Excellent analytical, critical thinking, and problem-solving skills
 </li>
 <li>
 Strong communication (verbal, written, presentation) and interpersonal skills
 </li>
 <li>
 Ability to translate complex technical concepts into business values
 </li>
 <li>
 Demonstrated ability to foster a culture of technical excellence and continuous improvement
 
 
 </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 Manager, AI Service Engineering

<div>At FinAIra, we are building the future of financial services, powered by intelligent, data-driven systems. We are seeking a foundational leader for our AI &amp; Machine Learning track. This is a core technology leadership position focused on research, development, and productization, acting as the bridge between our most advanced technical capabilities and the strategic needs of our financial services clients. You will be responsible for the strategic oversight and delivery of critical FinTech products or services. You will lead a team of top-tier scientists and engineers to build proprietary machine learning models that will become our core intellectual property and competitive advantage in the banking and FinTech landscape. This role will oversee multiple teams or complex AI/ML initiatives, drive the strategic direction and ensure the successful delivery of transformative AI solutions at scale.
The difference you will make:<ul><li>Recruit, lead, and mentor teams of world-class data scientists and engineers, fostering a culture of research, innovation, and engineering excellence. This includes managing other managers and lead individual contributors.</li><li>Drive the technical vision and architecture for our AI/ML platform across multiple initiatives. Design and oversee the development of scalable, production-grade machine learning systems for applications such as fraud detection, credit risk modeling, and agentic AI.</li><li>Partner with business development and product management to define new AI-powered service offerings. Ensure our R&amp;D roadmap is directly aligned with market opportunities, revenue goals, and client demand.</li><li>Act as the firm's senior technical expert on AI/ML in high-stakes client engagements, discovery workshops, and strategic planning sessions. Translate complex client challenges into tractable machine learning problems.</li><li>Guide multiple teams through the entire ML lifecycle, from data ingestion and feature engineering to model training, deployment, and monitoring. You are expected to be able to dive deep into the code and mathematical foundations, providing high-level technical guidance and troubleshooting.</li><li>Implement and enforce best practices for the machine learning development lifecycle (MLOps) across the organization to ensure robust, repeatable, and high-quality delivery of our AI solutions to clients.</li><li>Develop and articulate our firm's point of view on the application of AI in banking and FinTech, representing the company through white papers, conference presentations, and executive briefings.</li><li>Proactively manage complex service incidents, problems, and changes across multiple projects or product lines, ensuring effective communication and resolution with stakeholders.</li><li>Drive continuous service improvement initiatives, leveraging data analysis and client feedback to enhance value delivery.</li><li>Lead the gathering of critical client feedback and collaborate strategically with business development to enhance service offerings and shape product roadmaps.</li><li>Manage budget, resources, and project portfolios for the AI/ML service engineering function, ensuring alignment with strategic objectives.</li></ul> 
 
 
Requirements 
What you will bring to the role:<ul><li>Bachelor&rsquo;s degree in computer science, Business Administration, or a related field. ITIL Expert or other advanced service management certifications strongly preferred.</li><li>Experience: 5+ years of hands-on software engineering experience, with at least 2 years in a leadership role managing software development teams.</li><li>Proven ability to engage with stakeholders and clients to define technical requirements and contribute to architecting enterprise-grade solutions.</li><li>Proven experience architecting, building, and operating scalable, distributed systems in cloud &amp; on-prem environments (AWS, GCP, Azure, Openshift, etc.).</li><li>Expertise in modern backend development using languages like Go, Kotlin, Java, or Python.</li><li>Deep, practical experience with containerization and orchestration (Docker, Kubernetes), infrastructure as code (Terraform, Pulumi), and CI/CD tools.</li><li>Knowledge of Agile methodologies and practices.</li></ul>
Preferred Qualifications:<ul><li>Experience building financial-grade systems in banking, FinTech, or trading.</li><li>Experience in a professional services or technical consulting environment, delivering enterprise solutions.</li><li>Experience building a Platform-as-a-Service (PaaS) or developer platform for internal teams.</li><li>Knowledge of network architecture and cybersecurity principles.</li><li>Soft Skills:</li></ul>
o Strong leadership and people management skills.
o Ability to inspire, motivate, and mentor software engineering teams.
o Excellent analytical, critical thinking, and problem-solving skills.
o Strong communication (verbal, written, presentation) and interpersonal skills.
o Ability to translate complex technical concepts into business values.
o Demonstrated ability to foster a culture of technical excellence and continuous improvement.
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>

<div><div>We help the world run better 
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div> 
What you'll build 
In this role, you'll lead an engineering team building AI-enabled products and platforms while driving strong execution, delivery predictability, and team growth. You'll own planning and delivery across the full development lifecycle: roadmap translation, scope management, staffing, prioritization, sprint execution, release planning, risk management, dependency handling, and stakeholder communication. On the technology side, you'll guide teams building scalable services, data pipelines, ML-enabled applications, and LLM-based features, ensuring sound engineering around architecture, quality, observability, security, and operational readiness. You&rsquo;ll help the team make good decisions about model integration, experimentation, evaluation, deployment, monitoring, and governance, while balancing innovation with business value, cost, and time to market. Your impact will be measured not just by delivery, but by the strength of the team, the quality of execution, and the adoption of AI capabilities that solve real customer problems. 
What you bring 
<ul><li>
You bring a strong software engineering foundation with the ability to lead teams building scalable products, services, platforms, and AI-enabled applications</li><li>
You have a working understanding of machine learning and generative AI concepts, including model lifecycle, LLM use cases, evaluation, deployment constraints, and production risks</li><li>
You are experienced in leading delivery of AI or data-intensive programs, aligning product scope, technical dependencies, staffing plans, and execution milestones</li><li>
You bring strong project and program management skills, including roadmap planning, estimation, sprint execution, release coordination, risk management, and dependency tracking</li><li>
You have experience managing engineers across diverse skill sets, including backend, frontend, data engineering, machine learning, and platform engineering</li><li>
You are skilled at establishing delivery metrics, engineering KPIs, and operational cadences that improve execution predictability and quality</li><li>
You have a strong understanding of agile methodologies, backlog management, prioritization, stakeholder communication, and escalation handling</li><li>
You bring practical knowledge of cloud platforms, DevOps, CI/CD, observability, security, and the operational needs of production AI systems</li><li>
You are able to evaluate technical trade-offs, including build vs. buy, delivery speed vs. technical debt, and experimentation vs. reliability</li><li>
You demonstrate strong people leadership skills, including hiring, coaching, performance management, and building high-performing teams</li><li>
You are confident working with senior stakeholders to translate business goals into execution plans, budgets, staffing decisions, and measurable outcomes</li><li>
You apply sound judgment around responsible AI, data governance, compliance, and quality standards in enterprise environments</li></ul><ul><li>
You bring 8-10(+) years of experience in software engineering, architecture, or a related field, with a strong track record of designing and delivering complex systems</li><li>
You are a strong people leader who is passionate about developing talent and building inclusive, high-performing teams</li><li>
You are proactive, organized, and outcomes-driven, with a strong sense of ownership and accountability</li><li>
You are a collaborative leader who builds strong partnerships across product, architecture, and business teams</li><li>
You have a commitment to responsible AI principles, including ethics, transparency, and governance</li><li>
Fluent professional English (written and spoken) is required; Arabic is a plus</li></ul> 
Where you belong 
You will be part of a growing AI and industry expert team dedicated to serving customers across the Kingdom of Saudi Arabia. We are building a collaborative, high‑impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets. 
This team thrives on working together to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real‑world impact matters. This is a place for people who enjoy building something new. You will thrive here if you are customer‑centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast‑evolving AI landscape. 
We work across boundaries, help teams make better design choices, and build foundations that let AI products scale safely and efficiently. We value clarity, system thinking, and practical innovation.<div> 
Bring out your best 
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
We win with inclusion 
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. 
 
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. 
 
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. 
 
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. 
 
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div> 
We are ethical and compliant 
Our leadership credo: Do what&rsquo;s right. Make SAP better for generations to come. We believe that great leadership extends far beyond the mere pursuit of business goals. We value and foster leadership that is driven with purpose and integrity. Our leaders are role models who uphold SAP&rsquo;s values and shape SAP&rsquo;s culture of integrity, by demonstrating and championing ethical and compliant behavior towards all stakeholders.</div><div></div><div> 
AI Usage in the Recruitment Process</div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div>Please note that any violation of these guidelines may result in disqualification from the hiring process. 
 
Requisition ID: 450217 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Management | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</div>

(Senior) Development Manager AI Products & Solutions KSA-Region

<div><div>We help the world run better 
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div> 
What you'll build 
In this role, you'll lead an engineering team building AI-enabled products and platforms while driving strong execution, delivery predictability, and team growth. You'll own planning and delivery across the full development lifecycle: roadmap translation, scope management, staffing, prioritization, sprint execution, release planning, risk management, dependency handling, and stakeholder communication. On the technology side, you'll guide teams building scalable services, data pipelines, ML-enabled applications, and LLM-based features, ensuring sound engineering around architecture, quality, observability, security, and operational readiness. You&rsquo;ll help the team make good decisions about model integration, experimentation, evaluation, deployment, monitoring, and governance, while balancing innovation with business value, cost, and time to market. Your impact will be measured not just by delivery, but by the strength of the team, the quality of execution, and the adoption of AI capabilities that solve real customer problems. 
What you bring 
<ul><li>
You bring a strong software engineering foundation with the ability to lead teams building scalable products, services, platforms, and AI-enabled applications</li><li>
You have a working understanding of machine learning and generative AI concepts, including model lifecycle, LLM use cases, evaluation, deployment constraints, and production risks</li><li>
You are experienced in leading delivery of AI or data-intensive programs, aligning product scope, technical dependencies, staffing plans, and execution milestones</li><li>
You bring strong project and program management skills, including roadmap planning, estimation, sprint execution, release coordination, risk management, and dependency tracking</li><li>
You have experience managing engineers across diverse skill sets, including backend, frontend, data engineering, machine learning, and platform engineering</li><li>
You are skilled at establishing delivery metrics, engineering KPIs, and operational cadences that improve execution predictability and quality</li><li>
You have a strong understanding of Agile methodologies, backlog management, prioritization, stakeholder communication, and escalation handling</li><li>
You bring practical knowledge of cloud platforms, DevOps, CI/CD, observability, security, and the operational needs of production AI systems</li><li>
You are able to evaluate technical trade-offs, including build vs. buy, delivery speed vs. technical debt, and experimentation vs. reliability</li><li>
You demonstrate strong people leadership skills, including hiring, coaching, performance management, and building high-performing teams</li><li>
You are confident working with senior stakeholders to translate business goals into execution plans, budgets, staffing decisions, and measurable outcomes</li><li>
You apply sound judgment around responsible AI, data governance, compliance, and quality standards in enterprise environments</li></ul><ul><li>
You bring 8-10(+) years of experience in software engineering, architecture, or a related field, with a strong track record of designing and delivering complex systems</li><li>
You are a strong people leader who is passionate about developing talent and building inclusive, high-performing teams</li><li>
You are proactive, organized, and outcomes-driven, with a strong sense of ownership and accountability</li><li>
You are a collaborative leader who builds strong partnerships across product, architecture, and business teams</li><li>
You have a commitment to responsible AI principles, including ethics, transparency, and governance</li><li>
Fluent professional English (written and spoken) is required; Arabic is a plus</li></ul> 
Where you belong 
You will be part of a growing AI and industry expert team dedicated to serving customers across the United Arab Emirates. We are building a collaborative, high‑impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets. 
This team thrives on working together to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real‑world impact matters. This is a place for people who enjoy building something new. You will thrive here if you are customer‑centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast‑evolving AI landscape. 
We work across boundaries, help teams make better design choices, and build foundations that let AI products scale safely and efficiently. We value clarity, system thinking, and practical innovation.<div> 
Bring out your best 
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
We win with inclusion 
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. 
 
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. 
 
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. 
 
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. 
 
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div> 
We are ethical and compliant 
Our leadership credo: Do what&rsquo;s right. Make SAP better for generations to come. We believe that great leadership extends far beyond the mere pursuit of business goals. We value and foster leadership that is driven with purpose and integrity. Our leaders are role models who uphold SAP&rsquo;s values and shape SAP&rsquo;s culture of integrity, by demonstrating and championing ethical and compliant behavior towards all stakeholders.</div><div></div><div> 
AI Usage in the Recruitment Process</div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div>Please note that any violation of these guidelines may result in disqualification from the hiring process. 
 
Requisition ID: 450222 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Management | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</div>

(Senior) Development Manager AI Products & Solutions UAE-Region

Snoonu

<div>
 
 🚀 Welcome to Your Next Adventure!
 
 
 
 
 🛠 What You&rsquo;ll Get Your Hands On
 
 
 
 
 Team Leadership
 
 
 
 <ul>
 <li>
 Lead a cross-functional engineering team focused on Python applications, AI/ML services, and data-driven platforms.
 </li>
 <li>
 Mentor Senior, Middle, and Junior Engineers, ensuring alignment with engineering standards and ML project requirements.
 </li>
 <li>
 Set short-, mid-, and long-term goals for the team, continuously supporting skill growth in software engineering and ML system design.
 </li>
 <li>
 Coordinate with Product, Data Science, QA, DevOps, and Platform Leads to ensure the successful delivery of AI/ML initiatives.
 
 
 </li>
 </ul>
 
 Architecture &amp; System Design
 
 
 
 <ul>
 <li>
 Drive end-to-end architecture and design for AI/ML applications, model-serving infrastructure, and Python backend services.
 </li>
 <li>
 Oversee architectural decisions for scalable model deployment (REST APIs, streaming pipelines, batch systems), ensuring performance, reliability, and maintainability.
 </li>
 <li>
 Define standards for feature engineering pipelines, data ingestion flows, and integration with MLOps platforms.
 </li>
 <li>
 Break down complex AI/ML initiatives into actionable engineering tasks and clear technical roadmaps.
 
 
 </li>
 </ul>
 
 AI/ML System Delivery
 
 
 
 <ul>
 <li>
 Collaborate with Data Scientists to productionize ML models, ensuring reproducibility, versioning, and monitoring.
 </li>
 <li>
 Lead implementation of model-serving frameworks, vector databases, data processing jobs, and inference optimization strategies.
 </li>
 <li>
 Ensure adherence to best practices in experiment tracking, model evaluation, and A/B testing for ML features.
 
 
 </li>
 </ul>
 
 Process Improvement &amp; Engineering Excellence
 
 
 
 <ul>
 <li>
 Improve development workflows, CI/CD pipelines, and ML lifecycle automation.
 </li>
 <li>
 Promote coding standards, technical documentation, and reduction of technical debt across AI/ML projects.
 </li>
 <li>
 Introduce new tools and technologies that enhance model performance, data quality, and engineering productivity.
 
 
 </li>
 </ul>
 
 Recruitment, Culture &amp; Knowledge Sharing
 
 
 
 <ul>
 <li>
 Participate in hiring for both backend and ML-focused engineering roles.
 </li>
 <li>
 Facilitate knowledge-sharing sessions around ML system architecture, Python best practices, and cloud-native development.
 </li>
 <li>
 Strengthen team culture through collaboration, mentorship, and proactive communication.
 
 
 </li>
 </ul>
 
 Incident Management &amp; Reliability
 
 
 
 <ul>
 <li>
 Oversee reliability of AI/ML services, including model drift detection, data quality monitoring, and performance metrics.
 </li>
 <li>
 Coordinate incident response, root-cause analysis, and cross-team escalations for production ML systems.
 
 
 </li>
 </ul>
 
 🧙&zwj;&male;️ The Magic You Bring
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or related field.
 </li>
 <li>
 Experience in logistics solutions or related fields.
 </li>
 <li>
 Advanced degrees (MSc/PhD) in AI/ML or Applied Data Science are a plus.
 </li>
 <li>
 Strong communication skills, able to explain complex ML workflows and architectural decisions to technical and business stakeholders.
 </li>
 <li>
 Data-driven decision-making and the ability to justify improvements using metrics.
 </li>
 <li>
 Balanced leadership mindset&mdash;capable both of delegating and of hands-on deep technical work.
 </li>
 <li>
 Comfortable navigating ambiguity and aligning stakeholders in AI-driven product contexts.
 
 
 </li>
 </ul>
 
 Python &amp; Backend Engineering
 
 
 
 <ul>
 <li>
 Expert-level Python developer with strong understanding of backend frameworks (FastAPI, Flask, Django) and microservices patterns.
 </li>
 <li>
 Strong grounding in algorithms, distributed systems, and scalable backend architecture.
 
 
 </li>
 </ul>
 
 AI/ML Engineering
 
 
 
 <ul>
 <li>
 Experience deploying ML models to production (batch, real-time, streaming).
 </li>
 <li>
 Knowledge of ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and model-serving technologies (like TorchServe, MLflow, SageMaker, Vertex AI, etc.).
 </li>
 <li>
 Experience with vector databases, feature stores, and embedding-based search is a strong plus.
 
 
 </li>
 </ul>
 
 MLOps &amp; Cloud
 
 
 
 <ul>
 <li>
 Hands-on experience with CI/CD for ML systems, containerization (Docker), orchestration, and cloud environments (AWS/GCP).
 </li>
 <li>
 Familiarity with monitoring tools for ML pipelines: logging, metrics, tracing, model drift detection.
 
 
 </li>
 </ul>
 
 Data, Storage &amp; Integration
 
 
 
 <ul>
 <li>
 Strong understanding of data pipelines, ETL/ELT workflows, and both relational and NoSQL databases.
 </li>
 <li>
 Ability to design caching, queuing, and event-driven architectures supporting ML workflows.
 
 
 </li>
 </ul>
 
 Quality &amp; Reliability
 
 
 
 <ul>
 <li>
 Establishes testing standards for data validation, model correctness, API reliability, and system performance.
 </li>
 <li>
 Drives observability across AI services and ensures robust monitoring coverage.
 
 
 </li>
 </ul>
 
 Inside Snoonu&rsquo;s Universe
 
 
 
 Snoonu is Qatar&rsquo;s homegrown Super App, reinventing daily life with blazing-fast delivery, shopping, and more &ndash; all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.
 
 
 
 The Dream We&rsquo;re Chasing
 
 
 
 To be the first Qatari Ultra App that propels the region and its community through innovation and technology. We have global ambitions where what we do surpasses norms and limitations every time.
 
 
 
 The Quest We&rsquo;re On
 
 
 
 To radically transform how people live by leveraging technology to connect them with endless possibilities.
 
 
 
 Our Everyday Superpowers
 
 
 
 
 👥 Be Customer Obsessed
 
 : &ldquo;Focus on the customer and all else will follow.&rdquo;
 
 
 
 💪 Act with Integrity:
 
 &ldquo;We are honest, ethical, and trustworthy in everything we do.&rdquo;
 
 
 
 🧪 Be Curious and Creative:
 
 &ldquo;We constantly innovate and create solutions to bring a lasting positive impact.&rdquo;
 
 
 
 🏅Lead by Example and Take Ownership:
 
 &ldquo;Be the change you want to see and take ownership.&rdquo;
 
 
 
 🚀 Work Smart and Deliver Results
 
 : &ldquo;You can do more by doing less, better, and faster.&rdquo;
 
 
 
 👨&zwj;💼 It's All About People:
 
 &ldquo;Be a team player; together we are stronger.&rdquo;
 
 
 
 Perks &amp; Worklife Magic At Snoonu
 
 
 
 
 🌐 Global Vibes
 
 &ndash; Collaborate with a worldwide crew.
 
 
 
 🧠 Brain Boosters
 
 &ndash; Learning budgets, access to courses, and tools for your growth.
 
 
 🚒
 
 Builder&rsquo;s Playground
 
 &ndash; Own your tasks, own your path! We&rsquo;re big on autonomy.
 
 
 🏝️
 
 Flexible Time Off
 
 &ndash; We take recharging seriously. Generous leave and wellness policies.
 
 
 🛠️
 
 Agile Everything
 
 &ndash; Scrum isn&rsquo;t a buzzword here. It&rsquo;s how we roll, from product to ops.
 
 
 
 Great Place to Work&reg; Certified
 
 
 
 We&rsquo;re certified as a Great Place to Work&reg;, a recognition that celebrates a culture we&rsquo;ve built together where people come first, always. This certification reflects our commitment to creating a workplace where everyone feels valued, empowered, and inspired to do their best work.
 
 
 
 Certified for Excellence
 
 
 
 Our ISO 9001:2015 and ISO 45001:2018 certifications demonstrate our dedication to world-class quality and a safe, supportive workplace, reinforcing our promise to deliver exceptional service while prioritizing the wellbeing of our people.
 
 
 
 Beyond the Code: Giving Back Matters
 
 
 
 We don&rsquo;t just build apps. We&rsquo;re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we&rsquo;re always finding ways to do better&mdash;and we invite you to be a part of that mission.
 
 
 
 Diversity Isn&rsquo;t Just a Buzzword
 
 
 
 At Snoonu, fairness and inclusion are the foundation of everything we do. We&rsquo;re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.
 
 
 
 Let&rsquo;s Build the Future Together
 
 
 
 Apply now to join a team where your contributions spark a change and your voice is heard. Let&rsquo;s make some magic together.
 
 
 Stay in the loop&mdash;connect with us on LinkedIn!
</div>

Tech Lead – Logistics Systems

Gathern

<div>Job Purpose:
The Business Intelligence Manager owns the company&rsquo;s Business Intelligence function and is accountable for turning data into trusted insights that drive strategic and operational decisions. This role leads the activation of BI across the organization, focusing on correlation, causation, forecasting, and storytelling.The role also leads applied AI and machine learning initiatives, managing ML engineers to build, deploy, and operate production-grade, business-driven models, with clear ownership of applied MLOps practices to ensure reliability, scalability, and trust.
Key Responsibilities<ul><li>
 Lead the BI team in planning, developing, and delivering high-impact dashboards, reports, and analytics solutions</li><li>
 Business Intelligence Leadership</li></ul><ul><li>
Own the end-to-end Business Intelligence strategy and execution</li><li>
Establish BI as a core decision-support capability across the company</li><li>
Define and govern KPIs, metrics, and analytical standards</li><li>
Ensure insights consistently explain what happened, why it happened, and what to do next</li><li>
Lead executive and operational reporting and insight narratives</li></ul>
Analytics, Forecasting &amp; Insights<ul><li>
Oversee trend analysis, root-cause analysis, and correlation studies</li><li>
Drive forecasting, projections, and scenario analysis for planning and expectation-setting</li><li>
Ensure analytical outputs are explainable, assumption-driven, and decision-ready</li></ul>
Applied AI and Machine Learning Leadership<ul><li>
Lead and mentor ML engineers to design, build, and deploy applied machine learning models</li><li>
Own the applied ML and MLOps roadmap, aligned with BI and business priorities</li><li>
Guide the development of models such as:</li><li><ul><li>
Recommendation and pattern discovery models</li><li>
Anomaly detection</li></ul></li><li>
Define and enforce MLOps standards, including:</li><li>
Model versioning and lifecycle management</li><li>
Deployment and rollback strategies</li><li>
Monitoring model performance, drift, and data quality</li><li>
Retraining and validation processes</li><li>
Ensure ML models are:</li><li>
Business-driven and use-case oriented</li><li>
Explainable and interpretable</li><li>
Observable and maintainable in production</li><li>
Cross-Functional Leadership</li><li>
Act as the intelligence partner for Product, Finance, Operations, and Engineering</li><li>
Work closely with Data Engineering, Backend Engineering, and Platform teams to operationalize insights and ML models</li></ul>
Technical &amp; Analytical Requirements<ul><li>
Strong understanding of Business Intelligence and analytics practices</li><li>
Hands-on experience with BI tools (Power BI preferred)</li><li>
Strong analytical foundation, including:</li><li><ul><li>
Correlation vs causation</li><li>
Forecasting and scenario modeling</li><li>
Root-cause analysis</li></ul></li><li>
Solid understanding of data warehousing concepts (BigQuery preferred)</li><li>
Working knowledge of applied machine learning, including:</li><li><ul><li>
Supervised and unsupervised learning approaches</li><li>
Feature engineering and model evaluation</li><li>
Model explainability techniques</li></ul></li><li>
Working knowledge of MLOps concepts, including:</li><li><ul><li>
Model deployment and lifecycle management</li><li>
Monitoring for performance degradation and data drift</li><li>
Retraining strategies and validation workflows</li><li>
Collaboration with engineering teams on CI/CD and production readiness</li></ul></li><li>
Ability to guide ML engineers on both modeling and operationalization, without acting as a research data scientist</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field..</li><li>
5+ years of experience in business intelligence, data analytics, or data management.</li><li>
Applied ML models are deployed, monitored, and reliably operated in production</li><li>
MLOps practices ensure models remain accurate, observable, and trusted over time</li><li>
ML outputs are explainable and confidently used by business stakeholders</li><li>
BI remains the starting point for decisions, with ML and MLOps extending insight into action</li></ul></div>

BI Manager

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