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data engineer quantumblack ai by mckinsey

QuantumBlack, AI by McKinsey

<div>
 
 Who You'll Work With
 
 
 
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 
 
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 
 
 When you join us, you will have:
 
 
 <ul>
 <li>
 Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
 </li>
 <li>
 A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
 </li>
 <li>
 Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
 </li>
 <li>
 World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 You will apply your passion for finding opportunities in data by using established tools and techniques or by innovating/building new ones.
 
 
 In this role, you will collaborate with highly talented business consultants and data-scientists to design and drive architecture and implementation planning for our clients and act as a big data evangelist, educating McKinsey's and client's teams on data engineering topics. You&rsquo;ll actively cooperate with data scientists and digital consultants to incorporate clients&rsquo; requirements and impactful analysis into our data products. You&rsquo;ll also be an expert in data engineering and advise relevant people at the firm on technical aspects of analytics engagements.
 
 
 You will shape the future of what data-driven organizations look like, drive processes for extracting and using that data in creative ways, and create new lines of thinking within an infinite number of clients and situations.
 
 
 Lastly, you'll do meaningful work that makes a real difference with our clients. This is a hybrid client-facing/technical role using state-of-the-art technologies, whilst also being able to communicate complex intractable ideas to non-technical audiences.
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, engineering, mathematics or another relevant subject
 </li>
 <li>
 3+ years of experience in big data related software development; experience with data modeling, design patterns and building highly scalable and secured solutions
 </li>
 <li>
 Background in development with practical experience with at least one general purpose programming languages (Python, R, C, Java, Scala, etc.)
 </li>
 <li>
 Familiar with big data platforms (SQL, Teradata, Hadoop, Spark)
 </li>
 <li>
 Experience preparing data for analytics and following a data science workflow
 </li>
 <li>
 Advanced knowledge of data structures and algorithms, networking, operating systems, standard unix/linux operating systems, version control and DevSecOps tool chains, etc.
 </li>
 <li>
 Ability to work with a myriad of data types (structured and unstructured), extracting information from modern and legacy data platforms and identify and perform linkages across disparate data sets
 </li>
 <li>
 Meaningful experience in extracting and loading data from multiple database technologies like RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL), MPP (AWS Redshift, Teradata, Snowflake) and optionally NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan)
 </li>
 <li>
 Experience and interest in Cloud platforms such as AWS, Azure, GCP
 </li>
 <li>
 Commercial client-facing project experience is helpful
 </li>
 <li>
 Proven record of leadership in a work setting and/or through extracurricular activities
 </li>
 <li>
 Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
 </li>
 <li>
 Ability to communicate complex ideas effectively, both verbally and in writing, in English; fluency in local office language(s) is a plus
 </li>
 </ul>
</div>

Data Engineer - QuantumBlack, AI by McKinsey

<div>
 
 Who You'll Work With
 
 
 
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 
 
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 
 
 When you join us, you will have:
 
 
 <ul>
 <li>
 Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
 </li>
 <li>
 A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
 </li>
 <li>
 Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
 </li>
 <li>
 World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 You will use data creatively to solve business challenges, often uncovering new and transformative opportunities along the way.
 
 
 In this role, you will focus on the development of advanced analytics models to optimize underlying business problems. You will apply state-of-the-art advanced analytics, quantitative tools and modeling techniques to interpret, make inferences and offer recommendations based on insights from the data. You will shape the future of what data-driven organizations look like, drive processes for extracting and using that data in creative ways and create new lines of thinking within an infinite number of clients and situations.
 
 
 You will create valuable, transformative business strategies through the measurement, manipulation, reporting and dissemination of broad sets of data. You will apply and advise on state-of-the-art advanced analytic and quantitative tools and modeling techniques to derive business insights, solve complex business problems and improve decisions. You will review, support and advise on the day-to-day analytics requirements of clients&rsquo; key operational processes while continually improving the impact of these processes.
 
 
 You will be based in our Cairo office as part of our QuantumBlack, AI by McKinsey team, partnering with consultants, clients, and other colleagues.
 
 
 Our QuantumBlack, AI by McKinsey team brings the latest analytical techniques plus a deep understanding of industry dynamics and corporate functions to help clients create the most value from data.
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Undergraduate degree in mathematics, statistics, physics, engineering; master's degree is a plus
 </li>
 <li>
 3+ years of professional experience in programming; experience applied to business problems is a plus
 </li>
 <li>
 Experience in programming (focus on machine learning) in Python; knowledge in SPSS, SAS, Ruby, Hadoop is a plus
 </li>
 <li>
 Experience in data treatment/data mining: SQL, AWK, Access, Spark, Excel
 </li>
 <li>
 Demonstrated aptitude for analytics; statistical knowledge is a plus
 </li>
 <li>
 Proven record of leadership in a work setting and/or through extracurricular activities
 </li>
 <li>
 Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
 </li>
 <li>
 Ability to communicate complex ideas effectively, both verbally and in writing, in English; fluency in local office language(s) is a plus
 </li>
 </ul>
</div>

Data Scientist - QuantumBlack, AI by McKinsey

Beyond Menu

<div>
 At BeyondMenu, we empower local restaurants to thrive through digital hospitality. Our all-in-one online ordering solution is purpose-built for independent restaurant owners, helping them grow their business with simple, effective tools for online and in-person service.
 
 
 We are profitable, rapidly growing, and backed by Bregal Sagemount&mdash;one of the most successful private equity firms in the world. As part of their portfolio, we&rsquo;re scaling fast with a focus on results, accountability, and long-term success.
 
 
 If you&rsquo;re looking to join a high-performance team and help build the future of restaurant tech, we want to hear from you
 
 
 We&rsquo;re looking for a Marketing Data Engineer who loves building reliable data systems as much as exploring the &ldquo;why&rdquo; behind the numbers. You&rsquo;ll sit at the intersection of data engineering, marketing analytics, and go-to-market strategy &mdash; helping connect marketing, sales, and product data to unlock insights and power personalized customer experiences.
 
 
 This role is ideal for someone who can write scalable data pipelines and enjoys partnering with cross-functional teams to translate data into decisions.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Marketing Data Infrastructure
 </li>
 <li>
 Build and maintain integrations between Meta, Google Ads, Iterable, and SMS platforms and our cloud data warehouse
 </li>
 <li>
 Design segmentation pipelines and event-driven triggers that orchestrate marketing campaigns and customer journeys
 </li>
 <li>
 Ensure high data quality and observability across marketing activation systems
 </li>
 <li>
 Sales &amp; Revenue Data Pipelines
 </li>
 <li>
 Integrate multiple sources (CRM, call platforms, marketing automation, product usage) to create unified go-to-market performance metrics and dashboards
 </li>
 <li>
 Manage pipelines that process unstructured data (sales calls, webscraped data) using generative AI to produce structured insights, summaries, and performance feedback for revenue teams
 </li>
 <li>
 Product &amp; Customer Experience Data
 </li>
 <li>
 Build data flows that push insights and custom datasets into our product &mdash; powering features like dynamic menus, AI-driven recommendations, and personalized push notifications
 </li>
 <li>
 Collaborate with product managers and engineers to ensure real-time data supports key customer experiences
 </li>
 <li>
 Insights &amp; Analysis
 </li>
 <li>
 Conduct ad-hoc and automated analysis to uncover trends, patterns, and opportunities in marketing and sales performance
 </li>
 <li>
 Partner with marketing and sales leadership to design and execute experiments, tests, and causal analyses that measure the impact of campaigns, content, and channels
 </li>
 <li>
 Act as a bridge between data and business &mdash; helping non-technical stakeholders understand data in clear, actionable ways
 
 
 
 
 
 </li>
 </ul>
 
 What You Need:
 
 
 
 <ul>
 <li>
 3+ years of experience in data engineering, analytics, or marketing technology
 </li>
 <li>
 Proficiency in SQL and Python
 </li>
 <li>
 Proven experience developing scalable data pipelines for ingesting and synchronizing high-volume data through third-party APIs
 </li>
 <li>
 Experience with modern data stacks (e.g., Databricks, dbt, Airflow, Fivetran, Snowflake, or similar)
 </li>
 <li>
 Hands-on experience integrating APIs for ad platforms, marketing automation, or CRM systems
 </li>
 <li>
 Familiarity with AI and NLP pipelines is a strong plus
 </li>
 <li>
 Strong communication skills &mdash; able to explain complex systems and insights to marketing and sales leaders
 </li>
 <li>
 Business-level English speaking and writing skills
 </li>
 <li>
 Ability to work during US Eastern business hours.
 </li>
 <li>
 Curiosity, initiative, and a desire to understand how marketing and sales activities translate into business outcomes
 
 
 
 
 </li>
 </ul>
</div>

Marketing Data Engineer

Monks

<div>
 Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers).
 
 
 
 About The Role
 
 
 
 As a Data Scientist at Monks, you will work on designing, developing, and deploying Machine Learning (ML) and Generative AI (GenAI) models aimed at optimising marketing effectiveness. You will collaborate closely with senior data scientists to build scalable solutions, leveraging public cloud platforms such as GCP, AWS, or Azure.
 
 
 You should have a strong foundation in data literacy and the ability to interpret technical concepts into practical business insights. Ideally, you have some experience in marketing or product data science, coupled with a strong foundation of machine learning, statistics, and cloud technologies. While the role mainly focuses on data science, it also offers opportunities to tap into data engineering projects.
 
 
 This role spans across the EMEA and MENA regions and involves close collaboration with our Analytics, Strategy, and Solutions Engineering teams. We offer a dynamic and challenging work environment at the forefront of AI-driven innovation in marketing. If you're passionate about pushing the boundaries of what&rsquo;s possible, we encourage you to apply!
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Assist in designing, developing, and deploying Machine Learning (ML) and Generative AI (GenAI) models on cloud platforms such as AWS and GCP.
 </li>
 <li>
 Support the development and implementation of predictive models, such as propensity and churn models, to drive predictive insights and enhance decision-making.
 </li>
 <li>
 Contribute to the design of GenAI architectures using APIs like ChatGPT and Gemini, integrated with LangChain libraries.
 </li>
 <li>
 Write SQL queries to extract insights from large datasets
 </li>
 <li>
 Conduct statistical analysis, including A/B testing.
 </li>
 <li>
 Support in API authentication and automating ETL processes for data integration and transformation in cloud environments.
 </li>
 <li>
 Contribute in implementing and managing data models using tools like dbt and Dataform to convert raw data into structured formats for data warehousing and machine learning applications.
 </li>
 <li>
 Learn to navigate the lifecycle of a data science project, understanding trade-offs between model accuracy, deployment cost, and data availability.
 </li>
 <li>
 Follow and contribute to the documentation and best practices for building and deploying machine learning models to ensure consistency and scalability.
 </li>
 <li>
 Communicate basic technical concepts and results to both technical and non-technical stakeholders, including clients.
 
 
 
 </li>
 </ul>
 
 About You
 
 
 
 The essentials:
 
 
 
 <ul>
 <li>
 Bachelor or Masters in a quantitative subject such as Data Science, Computer Science, Mathematics, Statistics, or a related field.
 </li>
 <li>
 1+ years of working experience in data science or data engineering or a related field.
 </li>
 <li>
 Familiarity in designing and deploying cloud solutions on platforms such as GCP or AWS.
 </li>
 <li>
 Associate Cloud Certification such as GCP Cloud Architect, Data Engineer, or any equivalent.
 </li>
 <li>
 Strong proficiency in Python and SQL.
 </li>
 <li>
 Solid understanding of statistics, machine learning algorithms and Gen-AI applications, with a strong interest in learning more.
 </li>
 <li>
 Good understanding of APIs, including authentication methods (e.g., API keys, OAuth), with a curiosity to explore and troubleshoot.
 </li>
 <li>
 Awareness of data modelling tools such as dbt or Dataform.
 </li>
 <li>
 Good understanding of data warehousing and ETL concepts, with exposure to tools like Amazon Redshift or Google BigQuery being beneficial.
 </li>
 <li>
 Fluent English communication and written skills.
 </li>
 <li>
 Strong analytical and problem-solving skills with the ability to work independently and in a team environment.
 
 
 
 </li>
 </ul>
 
 Not a Must, But a Plus
 
 
 
 
 <ul>
 <li>
 Bachelor or Masters Degree in Data Science.
 </li>
 <li>
 Previous agency or consultancy experience is a plus.
 </li>
 <li>
 Professional Cloud Certification.
 </li>
 <li>
 Familiarity with marketing analytics tools and data (e.g. Google Analytics, Adobe Analytics).
 </li>
 <li>
 Awareness of MLOps, CI/CD and version control tools.
 </li>
 <li>
 Familiarity with social data (e.g. Instagram, Facebook, Tiktok).
 </li>
 <li>
 Knowledge of digital advertising industry practices and client verticals (retail, finance, etc.) is a plus.
 </li>
 <li>
 Experience with Looker Studio or any visualisation tool.
 
 
 
 </li>
 </ul>
 At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.
 
 
 
 About Monks
 
 
 
 Monks is the global, purely digital, unitary operating brand of S4Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global marketing and technology services to accelerate business possibilities and redefine how brands and businesses interact with the world. Its integration of systems and workflows delivers unfettered content production, scaled experiences, enterprise-grade technology and data science fueled by AI&mdash;managed by the industry&rsquo;s best and most diverse digital talent&mdash;to help the world&rsquo;s trailblazing companies outmaneuver and outpace their competition.
 
 
 Monks was named a Contender in The Forrester Wave&trade;: Global Marketing Services. It has remained a constant presence on Adweek&rsquo;s Fastest Growing lists (2019-23), ranks among Cannes Lions' Top 10 Creative Companies (2022-23) and is the only partner to have been placed in AdExchanger&rsquo;s Programmatic Power Players list every year (2020-24). In addition to being named Adweek&rsquo;s first AI Agency of the Year (2023), Monks has been recognized by Business Intelligence in its 2024 Excellence in Artificial Intelligence Awards program in three categories: the Individual category, Organizational Winner in AI Strategic Planning and AI Product for its service Monks.Flow. Monks has also garnered the title of Webby Production Company of the Year (2021-24), won a record number of FWAs and has earned a spot on Newsweek&rsquo;s Top 100 Global Most Loved Workplaces 2023.
 
 
 We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents&mdash;and resonates with&mdash;the world around us.
 
 
</div>

Data Scientist

Capgemini

<div>
 
 
 About Capgemini
 
 
 
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of &euro;22.1 billion.
 
 
 
 
 
 
 Job Description:
 
 
 
 As a Technical Support Engineer, you will resolve complex technical issues in a fast-paced, customer critical environment, working on improving processes, standards, and strategies to perfect our Support Services.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Resolve issues while working closely with multi-functional teams
 </li>
 <li>
 Provide with Senior Engineers and escalation points to engage Engineering resources and internal stakeholders.
 </li>
 <li>
 Determine priority levels while negotiating and setting expectations with customers
 </li>
 <li>
 Ensure the customer is communicated with in a timely manner and treated with the highest degree of respect
 </li>
 <li>
 Drive excellence through quality closures and proper escalation of issues
 </li>
 <li>
 Take ownership of customer success and satisfaction.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 A bachelor&rsquo;s degree in a relevant field.
 </li>
 <li>
 0 to 3 years of experience in a previous technical support role.
 </li>
 <li>
 Outstanding English communication, both verbal and non-verbal.
 </li>
 <li>
 Proficiency in an additional language (e.g., French, German) is an advantage.
 </li>
 <li>
 Certification as a Red Hat Certified System Administrator (RHCSA).
 </li>
 <li>
 First-rate interpersonal skills, phone etiquette and work ethic.
 </li>
 <li>
 Ability to work under pressure with calmness and composure.
 </li>
 <li>
 Strong problem-solving and trouble-shooting skills using operational and diagnostic procedures.
 </li>
 </ul>
</div>

Technical Support Engineer

The Flex

<div>
 
 Join the team that&rsquo;s reinventing how the world rents.
 
 
 
 At
 
 The Flex
 
 , we believe renting a home should feel as effortless as ordering an Uber.
 
 
 Our mission is bold &mdash; to make renting
 
 borderless, instant, and intelligent
 
 .
 
 
 Through
 
 Base360.ai
 
 , our proprietary platform, we&rsquo;re building the
 
 digital nervous system of the rental world
 
 &mdash; connecting property data, automating operations, and creating an intelligent infrastructure that powers every stay, everywhere.
 
 
 We&rsquo;re seeking a
 
 Senior Software Engineer
 
 to help architect and scale the systems that power The Flex &mdash; from seamless guest bookings and payment flows to predictive automation and global integrations.
 
 
 If you&rsquo;re someone who thrives at the intersection of
 
 software, systems, and scale
 
 , this is your opportunity to help shape a product that redefines how millions live and move.
 
 
 💡
 
 What You&rsquo;ll Build
 
 
 
 You&rsquo;ll be responsible for designing, developing, and scaling the software that runs The Flex platform.
 
 
 From backend APIs and automation pipelines to cloud infrastructure and data synchronization, you&rsquo;ll ensure every system we build is fast, reliable, and intelligent.
 
 
 You&rsquo;ll work across teams &mdash; product, ops, and data &mdash; to bring clarity and automation to the complex world of global rentals.
 
 
 ⚙️
 
 Your Mission
 
 
 
 <ul>
 <li>
 Architect the Core &ndash; Design and implement scalable, high-performance services that power bookings, payments, and automation workflows.
 </li>
 <li>
 Automate Everything &ndash; Build intelligent microservices and serverless functions that remove repetitive manual work.
 </li>
 <li>
 Scale Seamlessly &ndash; Design infrastructure capable of handling thousands of stays and millions of transactions across continents.
 </li>
 <li>
 Integrate Intelligently &ndash; Connect Base360.ai to platforms like Airbnb, Stripe, Twilio, and Hostaway.
 </li>
 <li>
 Enhance Intelligence &ndash; Work with AI-driven automation tools to create predictive and adaptive systems.
 </li>
 <li>
 Mentor &amp; Elevate &ndash; Share best practices, review code, and guide junior engineers toward technical excellence.
 
 
 </li>
 </ul>
 🧠
 
 You&rsquo;re a Great Fit If You Have
 
 
 
 <ul>
 <li>
 5+ years of experience in software engineering (preferably across full stack or backend).
 </li>
 <li>
 Strong skills in Node.js, Python (FastAPI), and AWS (serverless stack preferred).
 </li>
 <li>
 Proven experience designing API-first architectures and event-driven systems.
 </li>
 <li>
 Strong understanding of databases, automation, and distributed architectures.
 </li>
 <li>
 Curiosity about AI, real estate tech, and intelligent automation.
 </li>
 <li>
 A &ldquo;get it done&rdquo; mindset &mdash; capable of balancing speed, quality, and scalability.
 
 
 </li>
 </ul>
 🌍
 
 Why You&rsquo;ll Love It Here
 
 
 
 <ul>
 <li>
 Massive Impact. Your code will automate real operations, powering thousands of stays across borders.
 </li>
 <li>
 Global Mission, Lean Team. No silos. No bureaucracy. Just builders who move fast.
 </li>
 <li>
 Ownership &amp; Autonomy. You&rsquo;ll own major parts of the stack and shape the technical direction.
 </li>
 <li>
 Performance-Driven Rewards. Competitive compensation + upside for high performers.
 </li>
 <li>
 Remote-First Culture. Work from anywhere &mdash; impact matters more than hours.
 
 
 </li>
 </ul>
 🚫
 
 Do Not Apply If
 
 
 
 <ul>
 <li>
 You want a slow, predictable 9&ndash;5 job.
 </li>
 <li>
 You prefer meetings over building.
 </li>
 <li>
 You&rsquo;re comfortable being average.
 </li>
 <li>
 You&rsquo;re not striving to operate in the top 1% of your craft.
 
 
 </li>
 </ul>
</div>

Senior Software Engineer – Remote

<div>
 
 
 Company Overview:
 
 
 
 Dar, the founding member of the Sidara group, is an international multidisciplinary consulting organization specializing in engineering, architecture, planning, environment, project management, facilities management, and economics. Sidara operates in 60 countries with 20,500 professionals, Dar connects people, places, and communities through innovative solutions to the world's most complex challenges. We deliver projects from inception through completion, embracing challenges to empower communities worldwide. Learn more at www.dar.com.
 
 
 
 
 
 
 Our Vision and Values:
 
 
 
 We aspire to be the chosen home of those with a gift for crafting solutions that empower people and an unwavering passion for learning and innovation. Our core values shape our culture and guide our decision-making. We are committed to:
 
 <ul>
 <li>
 Excellence
 </li>
 <li>
 Responsibility
 </li>
 <li>
 Empowerment
 </li>
 <li>
 Connectivity
 </li>
 <li>
 Courage
 </li>
 </ul>
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking a seasoned and visionary Lead, AI &amp; Data Science to drive the strategy, development, and deployment of advanced AI solutions across our Digital Solutions department. This role is leadership and technically grounded, you will define and guide our AI roadmap, mentor a team of experts, and ensure delivery of world-class solutions. While you will not be coding daily, you must possess deep technical knowledge across the AI/ML spectrum and the ability to review, advise, and step in when critical decisions or mentorship are needed.
 
 
 You will play a pivotal role in building and scaling the AI &amp; Data Science team, shaping career paths, and representing the department in global events, partnerships, and thought leadership platforms.
 
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 Strategic &amp; Technical Leadership
 
 
 <ul>
 <li>
 Define and lead the
 
 AI &amp; Data Science vision and roadmap
 
 , aligned with business priorities.
 </li>
 <li>
 Provide
 
 technical oversight
 
 for AI initiatives across domains:
 </li>
 <li>
 
 Generative AI &amp; LLMs
 
 (fine-tuning, RAG pipelines, multi-agent systems).
 </li>
 <li>
 
 Predictive Analytics &amp; Time-Series Modeling
 
 .
 </li>
 <li>
 
 Computer Vision &amp; Multimodal AI
 
 .
 </li>
 <li>
 
 Reinforcement Learning &amp; Optimization
 
 .
 </li>
 <li>
 
 Knowledge Engineering &amp; Semantic Search
 
 .
 </li>
 <li>
 
 Edge AI &amp; Real-Time AI Deployments
 
 .
 </li>
 <li>
 Act as the
 
 architect and reviewer
 
 of AI systems, ensuring scalability, robustness, and compliance.
 </li>
 <li>
 Guide the adoption of
 
 MLOps best practices
 
 (CI/CD for ML, monitoring, retraining, governance).
 </li>
 <li>
 Drive innovation while balancing
 
 pragmatism and production readiness
 
 .
 </li>
 </ul>
 
 
 
 
 
 Mentorship &amp; Team Development
 
 
 <ul>
 <li>
 Build and grow a
 
 world-class AI &amp; Data Science team
 
 , including
 
 hiring, onboarding, and performance management
 
 .
 </li>
 <li>
 Mentor and coach team members to elevate technical depth and problem-solving skills.
 </li>
 <li>
 Create
 
 career development plans, learning paths, and certification opportunities
 
 for the team.
 </li>
 <li>
 Foster a culture of
 
 collaboration, experimentation, and continuous improvement
 
 .
 </li>
 </ul>
 
 
 
 
 
 Collaboration &amp; Representation
 
 
 <ul>
 <li>
 Work closely with
 
 Product Managers, Solution Architects, and Engineering Leads
 
 to embed AI across the product suite.
 </li>
 <li>
 Translate business challenges into
 
 scalable, impactful AI solutions
 
 .
 </li>
 <li>
 Represent the department in
 
 industry conferences, technical forums, and client engagements
 
 .
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 10+ years of experience in AI/ML, including at least 3 years in a
 
 technical leadership or team lead role
 
 .
 </li>
 <li>
 Strong knowledge (architectural &amp; practical) of:
 </li>
 <li>
 
 LLMs, RAG, and AI Agents
 
 .
 </li>
 <li>
 
 Predictive analytics &amp; time-series forecasting
 
 .
 </li>
 <li>
 
 Computer vision, multimodal learning, and geospatial AI
 
 .
 </li>
 <li>
 
 Reinforcement learning and optimization techniques
 
 .
 </li>
 <li>
 
 MLOps practices &amp; data pipelines
 
 .
 </li>
 <li>
 Ability to
 
 review code, design architectures, and guide technical teams
 
 .
 </li>
 <li>
 Advanced degree (Master&rsquo;s or PhD is a plus) in Computer Science, AI, Data Science, or related technical field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience with
 
 digital twins, IoT/OT data, and smart systems
 
 .
 </li>
 <li>
 Familiarity with
 
 vector databases.
 
 </li>
 <li>
 Knowledge of
 
 AI ethics, explainability, and regulatory compliance
 
 .
 </li>
 <li>
 Experience representing organizations at
 
 global conferences and industry summits
 
 .
 </li>
 </ul>
 
 
 
 
 
 Career Development &amp; Opportunities
 
 
 <ul>
 <li>
 Build and scale your own
 
 AI &amp; Data Science team
 
 .
 </li>
 <li>
 Define
 
 career plans and growth frameworks
 
 for your team members.
 </li>
 <li>
 Access to
 
 continuous training, certifications, and skill development programs
 
 .
 </li>
 <li>
 Opportunities to
 
 attend and present at global AI/tech events
 
 .
 </li>
 <li>
 Collaborate with
 
 top-tier technology partners and thought leaders
 
 .
 </li>
 </ul>
 
 
</div>

Lead AI & Data Science

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