intelligence engineer

Aeropolis City

As an AI specialist, you will develop and implement AI models and algorithms to address complex business challenges. You will also design, implement, and optimise AI systems to solve existing problems and enhance our business operations. The ideal candidate is a skilled and innovative professional passionate about artificial intelligence and machine learning.Objectives of this role<ul><li>Designing, developing, and implementing AI models and algorithms to address business challenges and improve processes.</li><li>Deploying AI solutions into production environments and ensuring their integration with existing systems.</li><li>Monitoring and evaluating the performance of AI systems, making adjustments as necessary to improve outcomes.</li><li>Providing technical expertise and guidance on AI-related projects and initiatives.</li></ul>Your tasks<ul><li>Analyse large datasets to extract meaningful insights and patterns that can inform AI model development.</li><li>Develop and implement machine learning algorithms, neural networks, and other AI techniques.</li><li>Train and validate AI models using diverse datasets to ensure robustness and generalizability.</li><li>Collaborate with data engineers to preprocess and clean data for AI models.</li><li>Create and maintain documentation for AI models, algorithms, and workflows.</li><li>Research and stay updated on the latest AI and machine learning technology advancements.</li></ul>Required skills and qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.</li><li>2+ years of experience as an AI Specialist, Data Scientist, Machine Learning Engineer, or similar role in AI development.</li><li>Strong understanding of artificial intelligence, machine learning algorithms, neural networks, and deep learning techniques.</li><li>Proficiency in programming languages such as Python, R, or Java.</li><li>Strong knowledge of AI frameworks and libraries (TensorFlow, PyTorch, Peras).</li><li>Knowledge of cloud platforms for AI deployment (AWS, Azure, Google Cloud).</li><li>Familiarity with big data technologies and tools (e.g., Hadoop, Spark).</li><li>Excellent problem-solving and analytical skills, with the ability to work with complex datasets.</li><li>Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.</li></ul>Job Type: Full-timePay: &#8377;30,000.00 - &#8377;75,000.00 per monthWork Location: In person

Artificial Intelligence Engineer

App Innovation Technologies

Job Summary:We are seeking an AI Engineer with 0-1 years of experience to design, develop, and deploy AI-driven solutions. The ideal candidate should have hands-on experience in machine learning, deep learning, and data science, with strong programming skills in Python and familiarity with AI frameworks.Key Responsibilities:<ul><li>Design, develop, and optimize machine learning models for real-world applications.</li><li>Work with large datasets to preprocess, clean, and analyze data.</li><li>Implement AI algorithms for applications in NLP, computer vision, or recommendation systems.</li><li>Deploy and monitor AI models in production environments.</li><li>Optimize model performance through hyperparameter tuning and feature engineering.</li><li>Collaborate with data scientists, software engineers, and business teams to integrate AI solutions.</li><li>Stay updated with the latest AI trends, tools, and research to improve existing models.</li></ul>Required Skills &amp; Qualifications:<ul><li>1-2 years of experience in AI, machine learning, or data science.</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.</li><li>Strong proficiency in Python and experience with AI/ML frameworks like TensorFlow, PyTorch, Scikit-learn.</li><li>Hands-on experience in model training, evaluation, and deployment.</li><li>Experience working with SQL/NoSQL databases and cloud platforms like AWS, GCP, or Azure.</li><li>Familiarity with MLOps, Docker, Kubernetes, and APIs is a plus.</li><li>Strong analytical, problem-solving, and debugging skills.</li><li>Good communication and collaboration abilities.</li></ul>Preferred Qualifications:<ul><li>Experience with computer vision, NLP, or reinforcement learning.</li><li>Understanding of big data technologies (Hadoop, Spark, etc.).</li><li>Exposure to automated ML pipelines and model versioning.</li></ul>Job Type: Full-timePay: &#8377;180,000.00 - &#8377;400,000.00 per yearBenefits:<ul><li>Provident Fund</li></ul>Work Location: In person

MirrAR Innovation Technologies Pvt Ltd

POSITION DESCRIPTION:<ul><li>Position Title: Business Intelligence Engineer</li><li>Reports to: Head Data Analytics</li></ul>JOB PURPOSE / ROLE:We are seeking a highly skilled and analytical Business Intelligence (BI) Engineer to design, develop, and maintain robust BI solutions that empower data-driven decision-making across the bank. This role is critical in transforming raw data into actionable insights, supporting strategic initiatives, and enhancing operational efficiency through advanced reporting, dashboarding, and data modeling.The BI Engineer will work closely with business stakeholders to understand analytical needs, develop scalable data models, and deliver intuitive visualizations using tools such as Power BI, Tableau, and SQL-based platforms.TEAM &amp; REPORTING STRUCTURE:<ul><li>Individual Contributor</li><li>Manages Team / Supervises Staff: No</li></ul>KEY RESPONSIBILITIES:This role is pivotal in enabling data transparency and performance monitoring across banking functions such as Risk, Finance, Retail, and Corporate Banking.<ul><li>Design and develop interactive dashboards, reports, and KPI scorecards using Power BI and other BI tools.</li><li>Collaborate with business units to gather requirements and translate them into technical specifications.</li><li>Build and maintain semantic data models and OLAP cubes to support self-service analytics.</li><li>Integrate data from multiple sources (EDW, APIs, flat files) and ensure data quality and consistency.</li><li>Optimize SQL queries and ETL processes for performance and scalability.</li><li>Support the transformation of periodic and ad-hoc reports into automated BI solutions.</li><li>Ensure compliance with data governance, security, and privacy policies.</li><li>Provide training and support to business users on BI tools and data interpretation.</li><li>Participate in strategic planning and analytics roadmap development.</li><li>Coordinate with IT and data engineering teams to ensure seamless data pipeline integration.</li><li>Visualize and communicate insights and model outcomes to both technical and non-technical audiences using BI tools (e.g., Power BI).</li><li>Mentor junior data scientists and contribute to the development of reusable analytics components and best practices.</li></ul>QUALIFICATIONS &amp; EXPERIENCE:Education:<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Systems, Data Science, or a related field is required.</li><li>Master&rsquo;s degree is preferred.</li></ul>Professional Experience:<ul><li>Minimum of 5&ndash;8 years of hands-on experience in Business Intelligence and data analytics, preferably within the banking or financial services sector.</li></ul>Technical Proficiency:<ul><li>Advanced expertise in data visualization and statistical plotting using tools such as Power BI, Python, and Matlab.</li><li>Strong command of SQL for querying, data modeling, and ETL development.</li><li>Solid understanding of data warehousing concepts and experience with platforms like SAS and Microsoft SQL Server.</li><li>Familiarity with cloud-based BI platforms (e.g., Azure, AWS) is a strong advantage.</li><li>Experience in Python and statistical programming, with exposure to AI/ML tools, algorithms, and methods.</li></ul>Analytical &amp; Modeling Skills:<ul><li>Proven ability to work with large-scale datasets and deliver production-grade analytics solutions.</li><li>Skilled in data preparation, including rationalizing, classifying, deriving, and calculating model input variables.</li><li>Experience applying natural language processing (NLP) and computer vision techniques to unstructured data is a plus.</li></ul>Business Acumen:<ul><li>Demonstrated capability to translate business objectives into analytical use cases and recommend optimal statistical approaches.</li><li>Experience in managing BI and analytics projects and collaborating with cross-functional teams.</li></ul>Certifications:<ul><li>Professional certifications in Microsoft Power BI or equivalent BI platforms are preferred.</li></ul>LANGUAGES:<ul><li>English</li><li>Arabic</li></ul>COMPETENCIES:<ul><li>Banking Domain Expertise: Proven experience in the financial services industry, preferably banking, with a strong understanding of core banking functions such as Risk, Finance, Corporate/Retail Banking, Treasury, and the customer lifecycle.</li><li>Analytical &amp; Problem-Solving Skills: Exceptional ability to analyze complex datasets, perform data profiling, and derive actionable insights that support strategic decision-making.</li><li>Technical Proficiency: Strong command of SQL and relational databases, with the ability to design and optimize queries for performance and scalability.</li><li>Communication &amp; Presentation: Excellent verbal and written communication skills, with the ability to present complex data findings clearly and persuasively to both technical and non-technical stakeholders.</li><li>Collaboration &amp; Agility: Demonstrated success working in agile, cross-functional teams, with a proactive and adaptable mindset in fast-paced environments.</li><li>Business Acumen: Ability to translate business needs into analytical solutions, aligning BI initiatives with organizational goals and KPIs.</li><li>Data Governance Awareness: Understanding of data privacy, security, and governance principles in regulated environments.</li></ul>Job Type: Full-timeWork Location: Remote

Business Intelligence Engineer

Money Fellows

<div>Are You Ready to Take the Lead in Data-Driven Insights?
At Money Fellows, we&rsquo;re redefining the FinTech landscape, and we need a passionate and innovative Senior Business Intelligence Engineer to join our enthusiastic team!
In this exciting role, you will:<ul>
<li>Transform Data into Stories: Dive into data analysis to uncover trends and insights that will drive strategic decisions for the company.</li>
<li>Craft Stunning Dashboards: Design and maintain visually engaging dashboards that empower our stakeholders with the information they need at their fingertips.</li>
<li>Collaborate Across Departments: Engage with product, marketing, and operations teams to understand their data needs and tailor solutions that amplify their success.</li>
<li>Build Your Legacy: Play an essential role in shaping our BI practices, influencing key business directions through data storytelling.</li>
</ul>At Money Fellows, we celebrate creativity and initiative, and we can&rsquo;t wait to see what you will bring to the table!
Requirements<ul>
<li>3 to 5 years of experience in Business Intelligence or Data Analytics with a strong focus on BI tools.</li>
<li>Bachelor&rsquo;s degree in Computer Science, Mathematics, or a related field; Master&rsquo;s degree is a plus!</li>
<li>Expertise in BI tools such as Power BI with DAX skills.</li>
<li>Strong SQL skills and proficiency in data modeling.</li>
<li>Experience in leading BI projects and working collaboratively with various stakeholders.</li>
<li>Excellent communication skills, with the ability to translate complex data into actionable insights.</li>
<li>Proficiency in programming languages like Python or R is a plus.</li>
<li>A growth mindset with a passion for continuous learning and improvement.</li>
</ul>Benefits
We care about your well-being from the start, whether you're a candidate or an employee as we embrace the concept of Psychological Safety.<ul><li>
Mental Well-being: We prioritize your mental health through open-door policies, skip-level meetings, and thoughtfully designed workspaces where you feel heard and valued</li></ul><ul>
<li>Physical Health: Stay active and healthy with our gym allowance, healthy office snacks, and monthly nutritionist consultations.
</li><li>Social Wellness: Stay connected through fun team-building activities, engaging town halls, and collaborative workspaces that spark innovation.
</li><li>Financial Empowerment: Competitive salaries, pension plans, and exclusive employee discounts on our Circles help you achieve financial stability.
</li><li>Growth Opportunities: Take advantage of workshops, mobility programs, and internal transfers to advance your career and thrive with us.
</li></ul>Join us and grow in a community that supports every aspect of your wellness!</div>

Senior Business Intelligence Engineer

HUAWEI Pakistan

<div>
 
 
 About the Role
 
 
 
 Huawei is seeking an
 
 AI Expert
 
 to design, develop, and deploy
 
 AI/ML-based solutions
 
 supporting
 
 RF optimization, SmartCare services, and network analytics
 
 . This role will enable proactive and predictive operations, improve network performance, and enhance customer experience through
 
 data-driven intelligence
 
 .
 
 
 The ideal candidate combines
 
 AI expertise with telecom domain knowledge
 
 , ensuring end-to-end solution delivery from
 
 data preprocessing to deployment and monitoring
 
 .
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy
 
 AI/ML models
 
 to support RF optimization, SmartCare services, and network analytics.
 </li>
 <li>
 Build and maintain
 
 data pipelines
 
 (Python, SQL, big data platforms) for large-scale telecom datasets.
 </li>
 <li>
 Collaborate with RF planning/optimization and SmartCare teams to
 
 integrate AI into daily workflows
 
 (anomaly detection, forecasting, coverage/capacity prediction, root cause analysis).
 </li>
 <li>
 Develop
 
 automation tools, dashboards, and visualization systems
 
 for real-time insights.
 </li>
 <li>
 Deliver
 
 end-to-end AI solutions
 
 : requirements analysis, model training/validation, deployment, and monitoring.
 </li>
 <li>
 Conduct research on
 
 advanced AI techniques
 
 (LLMs, deep learning, reinforcement learning, anomaly detection, RAG) and apply them in telecom.
 </li>
 <li>
 Provide
 
 knowledge transfer, documentation, and training
 
 to internal teams.
 </li>
 <li>
 Translate business problems into
 
 data-driven AI projects
 
 .
 </li>
 <li>
 Diagnose model results and ensure alignment with
 
 business KPIs
 
 .
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Skills
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Computer Science, AI, Data Science, or Telecommunications
 
 (Master&rsquo;s preferred).
 </li>
 <li>
 
 4&ndash;5 years
 
 of experience in
 
 AI/ML solution development
 
 , preferably in telecom (RF optimization, SmartCare, network analytics).
 </li>
 <li>
 Expertise in
 
 machine learning, deep learning, and data analytics frameworks
 
 (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, Spark).
 </li>
 <li>
 Strong
 
 Python/SQL programming
 
 skills for telecom data analytics and automation.
 </li>
 <li>
 Knowledge of
 
 RF networks (2G/3G/4G/5G)
 
 and SmartCare solutions.
 </li>
 <li>
 Proficiency in
 
 data engineering and visualization tools
 
 (Power BI, Tableau, Huawei in-house tools).
 </li>
 <li>
 Familiarity with
 
 cloud-based AI/Big Data platforms
 
 .
 </li>
 <li>
 Strong
 
 problem-solving, troubleshooting, and cross-functional collaboration
 
 skills.
 </li>
 </ul>
 
 
</div>

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Reputational Marketing &amp; Insights (RMI) team at Amazon is seeking a highly skilled and motivated Business Intelligence Engineer (BIE) to join our global research program focused on tracking and understanding brand perception through survey-based insights. Our team plays a critical role in informing Amazon&rsquo;s strategic communications. We do this through recurring global perception tracking, ad hoc research, and tailored reporting for senior stakeholders across the company. 
 
As a BIE on our team, you will drive the data engineering and reporting workstreams that bring our research to life. You will be responsible for producing high-impact visuals and deliverables that communicate insights clearly and effectively, maintaining data pipelines, and developing intuitive dashboards. This is a unique opportunity to apply your technical and analytical skills in a research-rich environment that directly shapes how Amazon communicates its story to the world. The work will challenge you to be resourceful, think big while staying connected to the details, and embrace a high degree of change and ambiguity at speed. The scope and scale of what we strive to achieve is immense, making our work both meaningful and energizing. 
 
The ideal candidate possesses endless curiosity and is skilled at translating complex or ambiguous problem statements into analytic requirements. The candidate must be able to extract, manipulate, and summarize large data sets using business intelligence and reporting tools. We are seeking a candidate who will continuously learn new systems, tools, and industry best practices to help design new tools that help our team automate and accelerate analytics. 
 
Key job responsibilities 
<ul><li>Design and maintain automated reporting, dashboards, and analyses to enable our team to increasingly self-serve data needs</li><li>Produce clear and compelling ad hoc charts and visual narratives tailored to specific business questions or communication needs</li><li>Own the data pipeline and automation processes supporting Amazon&rsquo;s global brand perception tracking program</li><li>Look around corners to identify and execute on future-facing, data-related strategic opportunities</li><li>Identify opportunities to simplify existing research processes and operate more nimbly</li><li>Collaborate closely with researchers, data scientists, and communication leads to translate insights into action</li><li>Partner with cross-functional teams to evolve our tech stack and BI infrastructure in line with growing program needs</li><li>Scale learnings and insights to other teams in CCR and the broader Amazon marketing and communications community
</li></ul> 
About the team 
This team sits within the Communications and Corporate Responsibility (CCR) organization. Our focus is on conducting research that identifies messaging opportunities and informs communication strategies for Amazon as a brand.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Experience with data visualization using Tableau, Quicksight, or similar tools</li><li>Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling</li><li>Bachelor's degree in Computer Science, Information Systems, or other technical degree</li><li>3+ years of data engineering, database engineering, business intelligence or business analytics experience</li><li>Knowledge of a scripting language (Python, R, etc.)</li><li>Experience conducting sophisticated and creative analysis of complex data and translate the results into actionable deliverables, messages, and presentations</li><li>Experience completing complex tasks quickly with little to no guidance and react with appropriate urgency to situations that require a quick turnaround, or experience prioritizing and handling multiple assignments at any given time while maintaining commitment to deadlines</li><li>Experience communicating to senior management and customers verbally and in writing</li><li>Experience with statistical techniques used for survey design and analytics (e.g., Chi-square, regression)</li><li>Proven ability to work in an interdependent team and develop processes at scale</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets</li><li>Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift</li><li>Experience working with cross-functional teams</li><li>Knowledge base of marketing and communications measurement</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Business Intelligence Engineer, Reputation Marketing & Insights

Cimpress

<div>Role description 
About Cimpress:

Led by founder and CEO Robert Keane, Cimpress invests in and helps build customer-focused, entrepreneurial mass customization businesses. Through the personalized physical (and digital) products these companies create,we empower over 17 million global customers to make an impression. Last year, Cimpress generated $3.5B in revenue through customized print products, signage, apparel, packaging and more. The Cimpress family includes a dynamic, international group of businesses and central teams, all working to solve problems, build businesses, innovate and improve.

As a National Pen brand, Pens.com provides custom marketing solutions to 22 countries worldwide, fostering global connections between businesses and their customers. We specialize in personalized promotional products, including writing instruments, stationery, drinkware, bags, gifts, and trade show accessories. Our operations are supported by a network of 9 facilities across North America, Europe, Africa, and India. This global presence underscores our commitment to the timely delivery of our products and services to customers across the markets we serve.

About the Role:

As a Business Intelligence (BI) Developer, you will play a key role in transforming data into meaningful insights that drive strategic business decisions. You&rsquo;ll work closely with cross-functional teams to understand business needs and translate them into scalable BI solutions using tools like Looker, SQL, and Python.

Key Responsibilities:

What are you expected to do?
<ul>
<li>Collaborate with cross-functional teams to gather information and understand business requirements.
</li>
<li>Design, develop, document, and maintain efficient BI solutions using Looker, SQL, and Python.
</li>
<li>Perform impact analysis of new business requirements on the existing BI landscape.
</li>
<li>Proactively build tools and processes to monitor and flag data quality gaps and issues within BI applications.
</li>
<li>Develop solutions enabling self-service analytics.
</li>
<li>Identify areas for improvement in data infrastructure, quality, and management processes.
</li>
<li>Collaborate with stakeholders to understand their data needs.
</li>
<li>Provide training and support on utilizing BI tools and solutions effectively.
</li>
<li>Stay up-to-date with industry trends and relevant technology advancements.
</li>
</ul>What will make your candidature great ?
<ul>
<li>4+ years of experience as a Business Intelligence Developer / Data Analyst.
</li>
<li>Experience as a hands-on BI Developer / Analyst working with self-service BI tools such as Looker, Tableau or QlikView.
</li>
<li>Well-versed in Python and SQL coding.
</li>
<li>Skills in data modeling and business logic processes.
</li>
<li>Experience with DWH design.
</li>
<li>Analytical and problem-solving skills with attention to detail.
</li>
<li>Able to work in a highly collaborative environment.
</li>
<li>Proactive attitude and ability to work independently, taking ownership of projects and delivering high-quality results within deadlines.
</li>
<li>Able to demonstrate knowledge of dimensional modeling, and data visualization techniques.
</li>
</ul>Why You'll Love Working Here:

Being at Cimpress means that you don&rsquo;t see work as just a building, a desk or a manufacturing floor. You see it as a chance to take a step forward in your career journey &ndash; and your life. We strive to give you everything you need to learn, grow, and succeed. Through innovation, collaboration, and perpetual exposure to what&rsquo;s next, we&rsquo;re always pushing boundaries and broadening our horizons. We embrace the chance to operate outside of our comfort zone to discover what we&rsquo;re capable of. Some might call that a challenge; we just call it another great day at work.

Equal Opportunity Employer:

Cimpress, is an Equal Employment Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, sex, national or ethnic origin, nationality, age, religion, citizenship, disability, medical condition, sexual orientation, gender identity, gender presentation, legal or preferred name, marital status, pregnancy, family structure, veteran status or any other basis protected by human rights laws or regulations. This list is not exhaustive and, in fact, in many cases, we strive to do more than the law requires.

We're Remote-First:

In 2020, Cimpress adopted a Remote-First operating model and culture. We heard from our team members that having the freedom, autonomy and trust in each other to work from home and, the ability to operate when they are most productive, empowers them to be their best. Vista also provides collaboration spaces for team members to work physically together when it's safe to do so and when in-person collaboration will deliver the best results. Currently we are enabled to hire remote team members in over 30 US States as well as several countries in Europe, including Spain, Germany, UK, Czech Republic, the Netherlands and Switzerland.

Please visit: https://cimpress.com/our-platform/

Meanwhile you can know more about our company details through below mentioned links:
<ul>
<li>Cimpress Vision - https://player.vimeo.com/video/111855876
</li>
<li>About us: Our story - http://cimpress.com/about-us/
</li>
<li>Our India ecommerce website - http://www.vistaprint.in/product-list.aspx?txi=14896&amp;xnid=TopNav_All+Products&amp;xnav=TopNa
</li>
<li>Global corporate Website &ndash; www.cimpress.com</li> 
</ul> 
Skills 
<ul>
<li>Looker BI developer,
</li><li>Tableau, Power BI</li>
<li>Snowflake, Python, SQL SSRS migration project</li> 
</ul> 
About Cimpress 
Founded in 1994, Cimpress (Computer Integrated Manufacturing Press) empowers individuals and businesses worldwide to make their mark through customized, high-quality products. With a $5 billion market cap and a presence in 24 countries, Cimpress is a market leader in mass customization&mdash;offering a wide range of personalized items, including print, signage, apparel, and packaging. Cimpress India (CI) supports Cimpress businesses by providing top-tier talent and operational solutions, advancing its mission to deliver value through personalization. Operating as a &quot;talent container&quot; model, CI simplifies hiring, payroll, HR, and logistics, allowing businesses to focus on their ambitious goals. Currently, Cimpress India hosts over 2,400 team members across 14 Cimpress brands, with key hubs in Ahmedabad, Bengaluru, and Mumbai. Our teams play a vital role in Cimpress&rsquo;s commitment to mass customization and innovation, making custom products accessible and impactful.</div>

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