Urwah Admin

VentureDive

<div>
 
 Job Brief
 
 
 
 We are looking for a
 
 Marketing Officer
 
 who can help enhance our presence both within the app and across digital platforms. The ideal candidate is creative, detail-oriented, and passionate about crafting meaningful content that connects with our global audience.
 
 
 
 VentureDive Overview
 
 
 
 Founded in 2012 by veteran technology entrepreneurs from MIT and Stanford, VentureDive is the fastest-growing technology company in the region that develops and invests in products and solutions that simplify and improve the lives of people worldwide. We aspire to create a technology organization and an entrepreneurial ecosystem in the region that is recognized as second to none in the world.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Manage and create content for the IslamicFinder Athan app
 </li>
 <li>
 Assist in managing content for social media platforms such as Facebook, Instagram
 </li>
 <li>
 Monitor social media trends, track engagement metrics, and share insights to improve performance
 </li>
 <li>
 Collaborate with the marketing team to brainstorm and execute creative campaigns and initiatives
 </li>
 <li>
 Research audience preferences, competitors, and market trends to inform strategy
 </li>
 <li>
 Support in creating visually appealing graphics and multimedia content for posts and campaigns
 
 
 </li>
 </ul>
 
 Required Experience &amp; Qualification:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Marketing, Communications, Business, or a related field
 </li>
 <li>
 At least 1-2yrs of experience &amp; strong understanding of social media platforms and mobile app content strategy
 </li>
 <li>
 Creative mindset with the ability to develop engaging, user-focused ideas
 </li>
 <li>
 Excellent written and verbal communication skills
 </li>
 <li>
 Detail-oriented, organized, and capable of handling multiple tasks
 </li>
 <li>
 Positive attitude, willingness to learn, and proactive work ethic
 </li>
 <li>
 Plus point: Experience using Canva and basic video editing skills
 
 
 </li>
 </ul>
 
 What We Look For Beyond Required Skills
 
 
 
 In order to thrive at VentureDive, you
 
 
 &hellip;are intellectually smart and curious
 
 
 &hellip;have the passion for and take pride in your work
 
 
 &hellip;deeply believe in VentureDive&rsquo;s mission, vision, and values
 
 
 &hellip;have a no-frills attitude
 
 
 &hellip;are a collaborative team player
 
 
 &hellip;are ethical and honest
 
 
 Are you ready to put your ideas into products and solutions that will be used by millions?
 
 
 You will find VentureDive to be a quick pace, high standards, fun and a rewarding place to work at. Not only will your work reach millions of users world-wide, you will also be rewarded with competitive salaries and benefits. If you think you have what it takes to be a VenDian, come join us ... we're having a ball!
 
 
 Powered by JazzHR
 
 
 Y4Jg5RLCwB
 
 
</div>

Marketing Officer

<div>
 
 Job Brief
 
 
 
 We are seeking a highly skilled
 
 Data &amp; AI Architect
 
 to design and implement scalable, secure, and high-performance data and AI architectures across cloud and hybrid environments. The ideal candidate will have deep expertise in data engineering, machine learning, and AI solution design, with experience leveraging cloud-native and open-source technologies to deliver intelligent, data-driven solutions. This role demands strong technical leadership, architectural vision, and the ability to translate complex business requirements into cohesive Data &amp; AI ecosystems that support analytics, automation, and innovation.
 
 
 
 VentureDive Overview
 
 
 
 Founded in 2012 by veteran technology entrepreneurs from MIT and Stanford, VentureDive is the fastest-growing technology company in the region that develops and invests in products and solutions that simplify and improve the lives of people worldwide. We aspire to create a technology organization and an entrepreneurial ecosystem in the region that is recognized as second to none in the world.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Architect, design, and implement end-to-end Data &amp; AI solutions across cloud, on-premises, or hybrid environments
 </li>
 <li>
 Build Data ingestion, transformation, and storage pipelines for structured, semi-structured, and unstructured data sources
 </li>
 <li>
 Design and implement AI/ML pipelines, including feature Agentic applications engineering, model training, deployment, and monitoring
 </li>
 <li>
 Leverage modern Data and AI platforms (e.g., Databricks, Snowflake, BigQuery, Redshift, Synapse, Vertex AI, SageMaker, or Azure ML) to enable advanced analytics and predictive modeling
 </li>
 <li>
 Collaborate with stakeholders to define Data and AI strategy, architecture blueprints, and technology roadmaps
 </li>
 <li>
 Integrate ML models and AI services (e.g., generative AI, NLP, computer vision) into business workflows and enterprise applications
 </li>
 <li>
 Implement data governance, model governance, and Responsible AI frameworks to ensure compliance, transparency, and ethical AI usage
 </li>
 <li>
 Optimize pipelines and workflows for performance, scalability, and cost-efficiency
 </li>
 <li>
 Partner with engineering and DevOps teams to establish MLOps and DataOps practices for continuous integration and deployment of models
 </li>
 <li>
 Produce high-quality architecture documentation, data flow diagrams, and solution blueprints
 </li>
 <li>
 Mentor engineers and data scientists, promoting best practices in data engineering, AI architecture, and cloud-native design
 </li>
 <li>
 Stay current with emerging AI, LLM, and data technologies to evaluate their potential in enterprise and government use cases
 
 
 </li>
 </ul>
 
 Required Experience &amp; Qualification:
 
 
 
 <ul>
 <li>
 10+ years of experience in data engineering, data architecture, or AI solution design
 </li>
 <li>
 Strong hands-on experience with data platform technologies, such as:
 </li>
 <li>
 Data pipelines: Apache Spark, Airflow, dbt, Kafka, Flink, or similar
 </li>
 <li>
 Data storage: Data lakes, warehouses, and lakehouses (e.g., Snowflake, Delta Lake, BigQuery, Redshift, Synapse)
 </li>
 <li>
 AI/ML platforms: TensorFlow, PyTorch, scikit-learn, MLflow, or cloud ML platforms (Azure ML, SageMaker, Vertex AI)
 </li>
 <li>
 Proven experience building and deploying machine learning models at scale (batch, streaming, or real-time)
 </li>
 <li>
 Deep understanding of data lakehouse and data mesh architectures
 </li>
 <li>
 Experience implementing governance, lineage, and security frameworks for data and AI systems
 </li>
 <li>
 Strong communication and stakeholder management skills, with the ability to explain architectural concepts to diverse audiences
 </li>
 <li>
 Demonstrated ability to balance innovation, scalability, and cost optimization in complex ecosystems
 
 
 </li>
 </ul>
 
 Preferred Skills:
 
 
 
 <ul>
 <li>
 Knowledge of Generative AI, LLMs, vector databases, and embedding-based retrieval (e.g., RAG architectures)
 </li>
 <li>
 Experience with MLOps tools (MLflow, Kubeflow, Vertex Pipelines, or Azure ML pipelines)
 </li>
 <li>
 Familiarity with DataOps and CI/CD practices for data and AI workflows
 </li>
 <li>
 Integration of AI insights into BI or visualization tools (e.g., Power BI, Tableau, Looker)
 </li>
 <li>
 Exposure to real-time AI applications, including anomaly detection, predictive maintenance, or conversational AI
 </li>
 <li>
 Experience leading data and AI modernization initiatives or enterprise AI strategy projects
 </li>
 <li>
 Understanding of governance and compliance frameworks (GDPR, ISO 27001, NIST, or sector-specific standards)
 
 
 </li>
 </ul>
 
 What We Look For Beyond Required Skills
 
 
 
 In order to thrive at VentureDive, you
 
 
 &hellip;are intellectually smart and curious
 
 
 &hellip;have the passion for and take pride in your work
 
 
 &hellip;deeply believe in VentureDive&rsquo;s mission, vision, and values
 
 
 &hellip;have a no-frills attitude
 
 
 &hellip;are a collaborative team player
 
 
 &hellip;are ethical and honest
 
 
 Are you ready to put your ideas into products and solutions that will be used by millions?
 
 
 You will find VentureDive to be a quick pace, high standards, fun and a rewarding place to work at. Not only will your work reach millions of users world-wide, you will also be rewarded with competitive salaries and benefits. If you think you have what it takes to be a VenDian, come join us ... we're having a ball!
 
 
 Powered by JazzHR
 
 
 lSXDsfMqSd
 
 
</div>

Data & AI Architect

<div>Job Brief 
We are seeking a highly skilled Data &amp; AI Architect to design and implement scalable, secure, and high-performance data and AI architectures across cloud and hybrid environments. The ideal candidate will have deep expertise in data engineering, machine learning, and AI solution design, with experience leveraging cloud-native and open-source technologies to deliver intelligent, data-driven solutions. This role demands strong technical leadership, architectural vision, and the ability to translate complex business requirements into cohesive Data &amp; AI ecosystems that support analytics, automation, and innovation. 
 
VentureDive Overview 
Founded in 2012 by veteran technology entrepreneurs from MIT and Stanford, VentureDive is the fastest-growing technology company in the region that develops and invests in products and solutions that simplify and improve the lives of people worldwide. We aspire to create a technology organization and an entrepreneurial ecosystem in the region that is recognized as second to none in the world. 
 
Key Responsibilities:<ul><li>
Architect, design, and implement end-to-end Data &amp; AI solutions across cloud, on-premises, or hybrid environments.</li><li>
Build Data ingestion, transformation, and storage pipelines for structured, semi-structured, and unstructured data sources.</li><li>
Design and implement AI/ML pipelines, including feature Agentic applications engineering, model training, deployment, and monitoring.</li><li>
Leverage modern Data and AI platforms (e.g., Databricks, Snowflake, BigQuery, Redshift, Synapse, Vertex AI, SageMaker, or Azure ML) to enable advanced analytics and predictive modeling.</li><li>
Collaborate with stakeholders to define Data and AI strategy, architecture blueprints, and technology roadmaps.</li><li>
Integrate ML models and AI services (e.g., generative AI, NLP, computer vision) into business workflows and enterprise applications.</li><li>
Implement data governance, model governance, and Responsible AI frameworks to ensure compliance, transparency, and ethical AI usage.</li><li>
Optimize pipelines and workflows for performance, scalability, and cost-efficiency.</li><li>
Partner with engineering and DevOps teams to establish MLOps and DataOps practices for continuous integration and deployment of models.</li><li>
Produce high-quality architecture documentation, data flow diagrams, and solution blueprints.</li><li>
Mentor engineers and data scientists, promoting best practices in data engineering, AI architecture, and cloud-native design.</li><li>
Stay current with emerging AI, LLM, and data technologies to evaluate their potential in enterprise and government use cases.</li></ul> 

Required Experience &amp; Qualification:<ul><li>
10+ years of experience in data engineering, data architecture, or AI solution design.</li><li>
Strong hands-on experience with data platform technologies, such as:</li><li>
Data pipelines: Apache Spark, Airflow, dbt, Kafka, Flink, or similar.</li><li>
Data storage: Data lakes, warehouses, and lakehouses (e.g., Snowflake, Delta Lake, BigQuery, Redshift, Synapse).</li><li>
AI/ML platforms: TensorFlow, PyTorch, scikit-learn, MLflow, or cloud ML platforms (Azure ML, SageMaker, Vertex AI).</li><li>
Proven experience building and deploying machine learning models at scale (batch, streaming, or real-time).</li><li>
Deep understanding of data lakehouse and data mesh architectures.</li><li>
Experience implementing governance, lineage, and security frameworks for data and AI systems.</li><li>
Strong communication and stakeholder management skills, with the ability to explain architectural concepts to diverse audiences.</li><li>
Demonstrated ability to balance innovation, scalability, and cost optimization in complex ecosystems.</li></ul> 

Preferred Skills:<ul><li>
Knowledge of Generative AI, LLMs, vector databases, and embedding-based retrieval (e.g., RAG architectures).</li><li>
Experience with MLOps tools (MLflow, Kubeflow, Vertex Pipelines, or Azure ML pipelines).</li><li>
Familiarity with DataOps and CI/CD practices for data and AI workflows.</li><li>
Integration of AI insights into BI or visualization tools (e.g., Power BI, Tableau, Looker).</li><li>
Exposure to real-time AI applications, including anomaly detection, predictive maintenance, or conversational AI.</li><li>
Experience leading data and AI modernization initiatives or enterprise AI strategy projects.</li><li>
Understanding of governance and compliance frameworks (GDPR, ISO 27001, NIST, or sector-specific standards).</li></ul> 
What we look for beyond required skills 
In order to thrive at VentureDive, you 
&hellip;are intellectually smart and curious 
&hellip;have the passion for and take pride in your work 
&hellip;deeply believe in VentureDive&rsquo;s mission, vision, and values 
&hellip;have a no-frills attitude 
&hellip;are a collaborative team player 
&hellip;are ethical and honest 
 
Are you ready to put your ideas into products and solutions that will be used by millions? 
You will find VentureDive to be a quick pace, high standards, fun and a rewarding place to work at. Not only will your work reach millions of users world-wide, you will also be rewarded with competitive salaries and benefits. If you think you have what it takes to be a VenDian, come join us ... we're having a ball! 
 
#LI-Hybrid
lSXDsfMqSd</div>

Join VentureDive and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

VentureDive

ABOUT_COMPANY

Marketing Officer

Data & AI Architect

Data & AI Architect