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Muller's Solutions

<div><p>M&uuml;ller&rsquo;s Solutions is excited to announce an opening for a Google Cloud AI Specialist to drive our artificial intelligence initiatives leveraging Google Cloud Platform (GCP). In this role, you will be responsible for designing and implementing AI and machine learning solutions to help transform our data into actionable insights and enhance decision-making processes across the organization.</p><p></p><p><b><br>
Key Responsibilities:</b></p><ul><li>
Develop and deploy machine learning models using GCP tools such as AI Platform, TensorFlow, and AutoML.</li><li>
Collaborate with cross-functional teams to identify business needs and translate them into AI and ML project requirements.</li><li>
Conduct data analysis to prepare datasets for model training and evaluation while ensuring data quality and integrity.</li><li>
Implement and optimize AI workflows that facilitate real-time data processing and inference.</li><li>
Stay updated on the latest advancements in AI and machine learning technologies to continuously improve our offerings.</li><li>
Provide technical guidance and support to teams on best practices for using Google Cloud AI services.</li><li>
Document AI project implementations, model performance evaluations, and ongoing maintenance procedures.</li><li>
Contribute to developing educational materials and training sessions on AI capabilities for staff and stakeholders.</li><li>
Monitor and assess the performance of deployed AI models, making adjustments as necessary to ensure effectiveness.</li></ul><br>
<b>
Requirements</b><p><b><br>
Requirements:</b></p><ul>
<li>Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.</li>
<li>3+ years of experience in machine learning or AI solutions development, preferably using Google Cloud Platform.</li>
<li>Proficient in programming languages such as Python or R, with a strong understanding of machine learning libraries (e.g., TensorFlow, scikit-learn).</li>
<li>Experience with cloud-based AI technologies, especially GCP services like Vision AI, Natural Language API, and AutoML.</li>
<li>Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques.</li>
<li>Ability to work with large datasets, utilizing BigQuery or similar data processing tools.</li>
<li>Excellent problem-solving skills and a strong analytical mindset.</li>
<li>Capable of communicating complex technical concepts to diverse audiences effectively.</li>
</ul><p><b>Preferred Qualifications:</b></p><ul>
<li>Google Cloud certifications (e.g., Google Cloud Professional Data Engineer or Google Cloud Professional Machine Learning Engineer) are a plus.</li>
<li>Experience with MLOps practices and tools for model deployment and management.</li>
<li>Familiarity with DevOps practices as they relate to AI and machine learning.</li>
<li>A background in statistics or applied mathematics is desirable.</li><br>
</ul><br>
<br>
<b>Benefits</b><p><br>
1- Attractive Package.
</p><p>2- Family Benefits.
</p><p>3- Visa.</p><p>
4-Air Tickets.</p></div><p></p>

Google Cloud AI Specialist

Master Works

<div>
 <strong>
  Role Purpose
  <br/>
  <br/>
 </strong>
 The Linguistic Data Analyst is responsible for collecting, analyzing, organizing, and cleaning multilingual conversational data, with a strong focus on diplomatic and formal terminology, to prepare high-quality datasets for training Speech-to-Text (STT) AI models.
 <br/>
 <br/>
 This role is critical to ensuring linguistic accuracy, terminology consistency, and data readiness for AI model development, particularly in government, diplomatic, and formal communication domains.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 Linguistic Data Collection:
 <br/>
 <br/>
 <ul>
  <li>
   Collect and curate conversational audio and text data (meetings, interviews, speeches)
  </li>
  <li>
   Work with multilingual datasets, primarily Arabic and English
  </li>
  <li>
   Ensure compliance with privacy and data governance standards
   <br/>
   <br/>
  </li>
 </ul>
 Data Cleaning &amp; Structuring:
 <br/>
 <br/>
 <ul>
  <li>
   Clean datasets by removing noise, duplication, and inconsistencies
  </li>
  <li>
   Normalize formal and semi-formal language usage
  </li>
  <li>
   Organize data by speaker, context, and formality
   <br/>
   <br/>
  </li>
 </ul>
 Linguistic &amp; Terminology Analysis:
 <br/>
 <br/>
 <ul>
  <li>
   Extract and standardize diplomatic and official terminology
  </li>
  <li>
   Build and maintain a diplomatic glossary
   <br/>
   <br/>
  </li>
 </ul>
 AI Training Data Preparation:
 <br/>
 <br/>
 <ul>
  <li>
   Prepare AI-ready datasets with timestamps and metadata
  </li>
  <li>
   Support annotation teams with linguistic guidelines
   <br/>
   <br/>
  </li>
 </ul>
 Collaboration &amp; Documentation:
 <br/>
 <br/>
 <ul>
  <li>
   Work with AI Engineers, Data Scientists and PMs
  </li>
  <li>
   Document standards and methodologies
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 Education:
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor's degree in Linguistics, Translation, Arabic/English Studies, or related field
   <br/>
   <br/>
  </li>
 </ul>
 Core Skills:
 <br/>
 <br/>
 <ul>
  <li>
   Strong linguistic analysis skills
  </li>
  <li>
   Experience with conversational or textual datasets
  </li>
  <li>
   High attention to detail
   <br/>
   <br/>
  </li>
 </ul>
 Technical Skills (Preferred):
 <br/>
 <br/>
 <ul>
  <li>
   Familiarity with STT and NLP concepts
  </li>
  <li>
   Experience with data annotation workflows
   <br/>
   <br/>
  </li>
 </ul>
 Languages:
 <br/>
 <br/>
 <ul>
  <li>
   Arabic: Fluent (mandatory)
  </li>
  <li>
   English: Fluent (mandatory)
  </li>
  <li>
   Additional languages are a plus
  </li>
 </ul>
</div>


Linguistic Data Analyst / AI Linguistic Specialist- Diplomatic Domain (STT AI)

MASTER-WORKS

<div>Role Purpose<p>
The Linguistic Data Analyst is responsible for collecting, analyzing, organizing, and cleaning multilingual conversational data, with a strong focus on diplomatic and formal terminology, to prepare high-quality datasets for training Speech-to-Text (STT) AI models.<br>
<br>
This role is critical to ensuring linguistic accuracy, terminology consistency, and data readiness for AI model development, particularly in government, diplomatic, and formal communication domains.</p>
Key Responsibilities<div>
Linguistic Data Collection:<br>
<ul><li>Collect and curate conversational audio and text data (meetings, interviews, speeches).</li><li>Work with multilingual datasets, primarily Arabic and English.</li><li>Ensure compliance with privacy and data governance standards.</li></ul>
<br>
Data Cleaning &amp; Structuring:<br>
<ul><li>Clean datasets by removing noise, duplication, and inconsistencies.</li><li>Normalize formal and semi-formal language usage.</li><li>Organize data by speaker, context, and formality.</li></ul>
<br>
Linguistic &amp; Terminology Analysis:<br>
<ul><li>Extract and standardize diplomatic and official terminology.</li><li>Build and maintain a diplomatic glossary.</li></ul>
<br>
AI Training Data Preparation:<br>
<ul><li>Prepare AI-ready datasets with timestamps and metadata.</li><li>Support annotation teams with linguistic guidelines.</li></ul>
<br>
Collaboration &amp; Documentation:<br>
<ul><li>Work with AI Engineers, Data Scientists and PMs.</li><li>Document standards and methodologies.</li></ul></div><b><br>
Requirements</b><br>
<br>
Required Qualifications<div>
Education:<br>
<ul><li>Bachelor&rsquo;s degree in Linguistics, Translation, Arabic/English Studies, or related field.</li></ul>
<br>
Core Skills:<br>
<ul><li>Strong linguistic analysis skills.</li><li>Experience with conversational or textual datasets.</li><li>High attention to detail.</li></ul>
<br>
Technical Skills (Preferred):<br>
<ul><li>Familiarity with STT and NLP concepts.</li><li>Experience with data annotation workflows.</li></ul>
<br>
Languages:<br>
<ul><li>Arabic: Fluent (mandatory)</li><li>English: Fluent (mandatory)</li><li>Additional languages are a plus.</li></ul></div></div>

<div><div><b>We help the world run better</b><br>
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><p></p><p><b><br>
What you&rsquo;ll build:</b></p><p></p><p><br>
This specialist role sits at the intersection of enterprise SAP delivery and applied AI. You will identify, design, and support the implementation of AI use cases across customer SAP landscapes, from discovery through early deployments, operational adoption, and consumption.</p><p></p><p><b><br>
What you bring:</b></p><p></p><ul><li><p><br>
3&ndash;5 years in enterprise applications, analytics, software engineering, or AI delivery. You have delivered solutions that reached real users, not just prototypes.</p></li><li><p>
Experience contributing to the implementation or activation of AI solutions within enterprise environments.</p></li><li><p>
Comfortable working with business and technical stakeholders in a consulting environment.</p></li><li><p>
Working understanding of AI and ML concepts and how they are applied in enterprise solutions. Familiarity with agent-based AI concepts is a plus.</p></li><li><p>
Experience working with enterprise platforms such as SAP BTP or similar cloud platforms. Exposure to SAP Business AI capabilities is beneficial and will be developed on the job. /</p><p>
Deep SAP platform knowledge is valuable but not the gating factor.</p></li><li><p>
Able to produce clear documentation and contribute to technical discussions.</p></li></ul><p>
What Success Looks Like</p><ul><li><div><ul><li>
AI use cases move beyond experimentation and are adopted in real business workflows.</li><li>
AI capabilities are consumed consistently across relevant business processes.</li><li>
Customer stakeholders re-engage you across subsequent phases of work.</li></ul></div></li></ul><p></p><p><b><br>
Where you belong:</b></p><br>
<p></p><ul><li>
Lead and document AI use case discovery workshops, identifying and prioritizing impactful opportunities for AI within business processes.</li><li>
Prepare clear documentation&mdash;problem statements, value hypotheses, KPIs&mdash;to guide engineering teams and make informed automation decisions.</li><li>
Drive the activation and deployment of AI use cases, collaborating with technical teams to translate concepts into operational solutions, while identifying and resolving adoption barriers.</li><li>
Support the scaling, operational adoption, and ongoing usage of AI capabilities, producing deployment and operations documentation.</li><li>
Contribute to AI solution architecture, creating diagrams, documentation, and ensuring alignment with best practices and responsible AI governance.</li><li>
Advise customers by translating business needs into technical solutions, building trusted relationships, and articulating AI adoption strategies and roadmaps in line with SAP capabilities.</li><li>
Clearly communicate technical concepts to non-technical stakeholders.</li></ul><p></p><p><br>
You will be part of a growing internal AI practice team, collaborating closely with senior architects, AI developers, and data engineers. Senior architects guide complex architecture decisions. Your role is to operate independently within structured delivery contexts and build trusted relationships with customer stakeholders over time.</p><p></p><div><b><br>
Bring out your best</b><br>
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.
<br>
<br>
<b>We win with inclusion</b><br>
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.<br>
<br>
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.<br>
<br>
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.<br>
<br>
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.<br>
<br>
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div><b><br>
AI Usage in the Recruitment Process</b></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><p>Please note that any violation of these guidelines may result in disqualification from the hiring process.<br>
<br>
Requisition ID: 448414 | Work Area: Consulting and Professional Services | Expected Travel: 0 - 90% | Career Status: Professional | Employment Type: Limited Full Time | Additional Locations: #LI-Hybrid</p></div>

AI Solution Architect (One-Year Fixed Term contract)

MOZN

<div>
 <strong>
  About Mozn
  <br/>
  <br/>
 </strong>
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 <br/>
 <br/>
 We&rsquo;re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 <br/>
 <br/>
 If you&rsquo;re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are searching for a strategic and inquisitive Data Scientist. As a member of Mozn's Data Science team, you will work with cross-disciplinary teams to identify the problems to be solved, specify the problems in mathematical and statistical terms, scope out the project/product in collaboration with your team and external stakeholders, and then go about answering the identified questions. You find insights that spur teams and stakeholders to improve their business/product and drive value for internal and external stakeholders.
 <br/>
 <br/>
 <strong>
  <strong>
   What you&rsquo;ll d
  </strong>
 </strong>
 <strong>
  <strong>
   o
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Work with cross-functional teammates from engineering, products, business, and marketing to deliver data-powered solutions.
  </li>
  <li>
   Communicate highly technical results and methods clearly to a wide variety of external clients.
  </li>
  <li>
   Analyze and extract insights from multiple and complex datasets through regression analysis, hypothesis testing, and other machine learning techniques.
  </li>
  <li>
   Develop and apply new machine learning techniques to ensure modern yet optimal approaches are applied to Mozn's solutions.
  </li>
  <li>
   Develop data pipelines and ingestion engines for Natural Language Understanding and/or Risk Management; as well as contribute to current engines at Mozn.
  </li>
  <li>
   Engage with stakeholders to identify and define the scope of challenges and propose data-powered solutions.
  </li>
  <li>
   Plan and execute solutions' development from data gathering to intelligent decision making.
  </li>
  <li>
   Staying informed with new frameworks and technological advances to increase Mozn's efficiency and productivity.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   B.S. or M.S. in Computer Science, Statistics, Mathematics or similar quantitative fields.
  </li>
  <li>
   3-5 years of Relevant experience as a data scientist, or similar fields that require developing ML/AI models. Over 2 years for B.S. degree and over 1 year for M.S.
  </li>
  <li>
   Programming experience over two years in object oriented programming, including data manipulation using Python or other languages.
  </li>
  <li>
   Good understanding of statistics and probability, such as Bayesian methods and conditional probability.
  </li>
  <li>
   Applied experience in machine learning, such as conducting model experiments.
  </li>
  <li>
   Experience in version control systems, such as Git, GitHub.
  </li>
  <li>
   Programming experience in SQL or NoSQL is preferred.
  </li>
  <li>
   Familiarity with big data technologies, such as Spark.
  </li>
  <li>
   Experience in deep learning frameworks, such as PyTorch.
  </li>
  <li>
   Expertise in Natural Language Understanding and/or Risk Management applications.
  </li>
  <li>
   Familiarity with containerization frameworks, such as Docker.
  </li>
  <li>
   Research experience in optimization and natural language processing (NLP).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <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 AI.
  </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

<div><div><b>We help the world run better</b><br>
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><div></div><p><b><br>
Shape Saudi Arabia&rsquo;s Digital Future. Accelerate AI‑Driven Transformation. Lead with Impact.</b>Saudi Arabia is rapidly emerging as a global hub for AI innovation, with massive national investment through initiatives like <b>Vision 2030</b>, NEOM, smart‑city programs, and AI‑powered enterprise transformation. This role positions you at the heart of that transformation&mdash;empowering Saudi organizations with SAP&rsquo;s intelligent, AI‑enhanced solutions.</p><p></p><p><b><br>
What you'll do</b>:</p><p>
As the Solution Advisor Expert (SA), you will be the go-to person for SAP Business Ai questions within the sales team. You will leverage your deep expertise in specific Ai solutions to support the entire sales cycle, from identifying opportunities to post-sale customer support. Additionally, you will assist customers in expanding their current SAP footprint to maximize value for their organization.</p><ul><li>
Provide deep business Ai solution-specific expertise to support new sales and adoption for key customers</li><li>
Provide both standard and customized/personalized solution demonstrations that bring SAP solutions to life and show customers the value of SAP.</li><li>
Support the Account Team by delivering solution presentations and events to identify and qualify new opportunities and drive adoption and consumption of SAP solutions</li><li>
Evaluate account qualification criteria to determine further investment in pursuing opportunities</li><li>
Establish yourself as a thought leader within the account team and fine-tune account strategy</li><li>
Collaborate with the team in creating overall themes and competitive differentiation</li><li>
Conduct vigorous dry runs on strategic deals and customer engagements</li><li>
Transition engagement to implementation partner/ Services teams effectively</li><li>
Engage with customers to continue selling the vision of SAP solutions and ensure eagerness for renewal</li><li>
Leverage digital assets throughout the customer engagement, including demos, presentations, and other content</li></ul><p></p><p><b><br>
What you bring:</b></p><ul><li>
Professional experience with large software/IT organizations, preferably in a solution-specific segment</li><li>
SAP product experience and/or 10+ years of relevant solutions/Business Ai solution experience</li><li>
Working knowledge of Cloud, Hosted Services, and Software as a Service/Platform as a Service models in the Business-to-Business Environment</li><li>
Viewed as a solutions/Business Ai/Industry expert across SAP with a track record of success</li><li>
Focus on creating compelling storylines and themes for customer interactions</li><li>
Ability to quickly understand customer business goals and ensure they are at the center of recommended solutions</li><li>
Passion and energy in all customer interactions</li><li>
Proven record of deep Ai Business experience</li><li>
In line with Saudization legal mandates, we can only consider Saudi nationals at this time</li></ul><p></p><p><b><br>
Meet your team:</b></p><ul><li>
Customer Advocate: Collaborate to complement solution expertise and support customers</li><li>
Global Digital Content Factory: Leverage digital assets created by the team throughout customer engagement</li><li>
Implementation Partner/Customer Services &amp; Delivery: Efficiently transition customer engagement for successful deployment and realization of solution value</li><li>
SAP Account Teams: Share best practices and collaborate on providing solutions and services support across the entire customer journey.</li></ul><p></p><p><b><br>
Skills you&rsquo;ll use:</b></p><div><div><p><b>
Professional Skills</b></p></div><div><p><br>
Business Acumen</p></div><div><p><br>
Customer Orientation</p></div><div><p><br>
Establishing Trust</p></div><div><p><br>
Influencing Skills</p></div><div><p><br>
Effective Communication</p></div></div><p></p><div><div><p><b><br>
Tech Industry &amp; SAP General Skills</b></p></div><div><p><br>
Artificial Intelligence</p></div><div><p><br>
Software as a Service (SaaS)</p></div><div><p><br>
Process Improvement</p></div><div><p><br>
Technology Innovation</p></div><div><p><br>
SAP Cloud Suite Portfolio</p></div><div><p><br>
RISE and GROW with SAP</p></div><div><p><br>
SAP Corporate Strategy</p></div></div><p></p><div><div><p><b><br>
Role Specific Skills</b></p></div><div><p><br>
Competitive Positioning</p></div><div><p><br>
Customer Value Proposition</p></div><div><p><br>
Storytelling</p></div><div><p><br>
Demonstration Skills</p></div><div><p><br>
Overcoming Objections</p></div><div><p><br>
Executive Conversations</p></div><div><p><br>
Technology Solution Adoption</p></div><div><p><br>
Client Needs Assessment</p></div><div><p><br>
Cloud Strategy</p></div><div><p><br>
Demand Generation</p></div></div><p></p><div><b><br>
Bring out your best</b><br>
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.
<br>
<br>
<b>We win with inclusion</b><br>
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.<br>
<br>
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.<br>
<br>
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.<br>
<br>
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.<br>
<br>
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div><b><br>
AI Usage in the Recruitment Process</b></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><p>Please note that any violation of these guidelines may result in disqualification from the hiring process.<br>
<br>
Requisition ID: 445151 | Work Area: Presales | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid</p></div>

Solution Advisor Expert AI

Buro Happold

<div>
 <strong>
  Want to build the AI solutions that make smart cities truly intelligent? Your expertise might just make you our new AI &amp; Data Science Expert
  <br/>
  <br/>
 </strong>
 <strong>
  Here at Buro Happold, expect the exceptional.
  <br/>
  <br/>
 </strong>
 From the projects you will work on to the clients we work with. From career-defining opportunities to an inclusive and diverse practice where we all contribute to a more equitable world . From our reputation to our relationships. Wherever your Buro Happold career takes you, it&rsquo;ll be anything but ordinary.
 <br/>
 <br/>
 <strong>
  Your next role
  <br/>
  <br/>
 </strong>
 Buro Happold has a clear strategic plan, strong learning culture and entrepreneurial mindset that will allow you to thrive.
 <br/>
 <br/>
 You&rsquo;ll be part of something bigger than us all where sustainability, equity, social and performance outcomes matter. All of Buro Happold is committed to doing the right thing, even when that&rsquo;s the hardest thing. This is a genuine opportunity to make impact - and leave real legacy.
 <br/>
 <br/>
 <strong>
  Your key duties
  <br/>
  <br/>
 </strong>
 We are seeking an experienced AI &amp; Data Science Expert to design, build, and deploy advanced analytics and machine learning solutions that generate measurable value for the business. The role focuses on end to end ownership of use cases: from problem framing and data exploration, through model development and validation, to deployment, monitoring, and continuous improvement. The AI &amp; Data Science Expert will work closely with business stakeholders, product teams, and technology functions to translate complex data into actionable insights and scalable AI products.
 <br/>
 <br/>
 As a Senior Consultant specializing in AI and Data Science, you will take a leading role in designing, developing, and implementing advanced data-driven solutions. Your responsibilities will include:
 <br/>
 <br/>
 <ul>
  <li>
   Engage with stakeholders to understand business challenges and translate them into well defined AI and data science use cases.
  </li>
  <li>
   Collect, clean, and engineer data from multiple sources (structured and unstructured) to create robust feature sets for modelling.
  </li>
  <li>
   Develop, validate, and optimize machine learning and statistical models (e.g., classification, regression, forecasting, clustering, recommendation).
  </li>
  <li>
   Build and maintain production grade pipelines for model training, deployment, and monitoring in collaboration with data engineering and IT teams.
  </li>
  <li>
   Design and implement experiments, A/B tests, and performance evaluation frameworks to quantify model impact.
  </li>
  <li>
   Communicate findings and recommendations clearly through dashboards, visualisations, and presentations tailored to technical and non technical audiences.
  </li>
  <li>
   Contribute to the development of AI standards, best practices, and reusable components (feature stores, model templates, evaluation frameworks).
  </li>
  <li>
   Stay current with advances in AI/ML, data science tools, and MLOps practices, and assess their relevance for the organisation.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your Skills And Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Minimum 5 years of hands on experience in data science / machine learning roles, delivering production ready solutions.
  </li>
  <li>
   Solid experience with supervised and unsupervised learning techniques, model evaluation, feature engineering, and hyperparameter tuning.
  </li>
  <li>
   Practical experience working with SQL and relational databases; familiarity with big data or cloud data platforms is an advantage.
  </li>
  <li>
   Experience building end to end workflows from data ingestion to model deployment, ideally with exposure to MLOps tools and practices.
  </li>
  <li>
   Strong analytical and problem solving skills, with the ability to structure ambiguous problems and work with imperfect data.
  </li>
  <li>
   Proven ability to explain complex concepts clearly to non technical stakeholders and to influence data driven decisions.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Academic Qualifications
  <br/>
  <br/>
 </strong>
 The role is suitable for candidates with a strong digital and design background. We would welcome applications from those with degrees in:
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science
  </li>
  <li>
   Data Science
  </li>
  <li>
   Statistics, Mathematics
  </li>
  <li>
   Engineering
  </li>
  <li>
   or a related quantitative discipline (or equivalent relevant experience).
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Personal Attributes
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Highly organised, detail oriented, and rigorous in approach to data and schedule integrity.
  </li>
  <li>
   Proactive and solution driven , with a strong sense of ownership for deadlines and deliverables.
  </li>
  <li>
   Collaborative team player, comfortable working with multidisciplinary and multicultural teams.
  </li>
  <li>
   Able to work under pressure, manage multiple priorities, and adapt to evolving project needs
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Offer You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bring your knowledge and expertise to one of the world&rsquo;s most respected consultancies.
  </li>
  <li>
   Hybrid working arrangements
  </li>
  <li>
   Attractive salary and benefits package
  </li>
  <li>
   A strong commitment to your continuous development. Whatever stage in your career, we have a learning and development programme that will enable and empower you
  </li>
  <li>
   Entitlement to two memberships to professional bodies or subscriptions
  </li>
  <li>
   An international culture that wherever your career takes you at Buro Happold, you won&rsquo;t be far from the exceptional.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  At Buro Happold, everyone else&rsquo;s extraordinary is just our everyday. Apply today and be a part of our legacy.
  <br/>
  <br/>
 </strong>
 <strong>
  A place for everyone
  <br/>
  <br/>
 </strong>
 Buro Happold values individual's flexible approaches to working patterns as an important part of the way you work and achieve balance . We welcome applications from those who are seeking flexibility in their careers.
 <br/>
 <br/>
 Our exceptional portfolio of projects is the result of the diversity of thought, identities, backgrounds and experiences that shape us. Appreciating each other&rsquo;s differences is key, we want employees to feel they don&rsquo;t have to mask elements of their identity to thrive .
 <br/>
 <br/>
 We are working to change the lack of representation of marginalised groups in the built environment and are particularly keen to hear from anyone who feels they are underrepresented in the industry. We have much to learn from one another. Embracing difference allows us to develop the most innovative and elegant solutions.
 <br/>
 <br/>
 Please let us know if there are any adjustments, we could make to the application process to make it easier and more comfortable for you. Contact recruitment@burohappold.com so we can work with you to support you throughout your application.
 <br/>
 <br/>
</div>


Senior Consultant - AI & Data Science

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