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CodeNinja Inc.

<div>
 
 About The Company
 
 
 
 CodeNinja is a global AI and engineering services company helping enterprises build, scale, and operate intelligent systems. With 350+ engineers across four continents and 400+ successful deployments, CodeNinja enables organizations to harness artificial intelligence through Global Capability Centers, Work AI, Physical AI, and AI Labs. Recognized among Pakistan's fastest-growing AI firms and a multi-award recipient on Clutch, CodeNinja empowers over 250 clients worldwide to innovate, automate, and compete in the intelligence economy.
 
 
 
 About The Role
 
 
 
 We're looking for an experienced AWS AI/ML Practice Lead to own technical direction and client delivery of agentic AI solutions built on AWS &mdash; from pre-sales architecture through production deployment.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Lead technical discovery and whiteboarding sessions, translating business problems into agentic AI architectures on AWS
 </li>
 <li>
 Design end-to-end solution architectures using Bedrock, SageMaker, Step Functions, Lambda, and EventBridge
 </li>
 <li>
 Build cost models, effort estimates, and technical proposals; support sales team on client calls and RFPs
 </li>
 <li>
 Own technical delivery of agentic AI engagements from kickoff to production, leading blended engineering teams
 </li>
 <li>
 Set architecture standards, conduct code reviews, manage technical risk, and enforce CI/CD and IaC best practices
 </li>
 <li>
 Serve as primary technical point of contact for clients during active engagements
 </li>
 <li>
 Build reusable reference architectures, accelerators, and PoC assets for agentic AI on AWS
 </li>
 <li>
 Mentor the AWS CoE team on AI/ML services, agentic design patterns, and production deployment practices
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Deep hands-on experience with Amazon Bedrock (Agents, Knowledge Bases, Guardrails), SageMaker, Lambda, Step Functions, and API Gateway
 </li>
 <li>
 Strong grasp of agentic design patterns: ReAct loops, multi-agent delegation, RAG systems, and tool-use architectures
 </li>
 <li>
 Experience with AWS data services: OpenSearch Serverless, DynamoDB, S3, Glue, Kinesis
 </li>
 <li>
 Familiarity with orchestration frameworks (LangChain, LangGraph or equivalent) deployed on AWS
 </li>
 <li>
 Proven background in the AWS partner ecosystem &mdash; prior role as Solutions Architect, Principal Consultant, or Practice Lead at an AWS partner firm
 </li>
 <li>
 Ability to lead client rooms: whiteboard on the spot, handle technical objections, engage both technical and executive stakeholders
 </li>
 <li>
 Experience leading distributed engineering teams through full delivery lifecycles on AWS
 </li>
 <li>
 Strong opinions on CI/CD, CDK/Terraform, and observability (CloudWatch, X-Ray)
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Build quality systems for real-world AI-enabled products, including LLM evaluations and reliability guardrails
 </li>
 <li>
 Own feature-level quality end-to-end: from test strategy to CI/CD quality gates to production readiness
 </li>
 <li>
 Work with strong cross-functional teams across Engineering, Product, and AI stakeholders in an Agile environment
 </li>
 <li>
 Grow in modern quality engineering practices: observability, automation frameworks, shift-left testing, and AI evaluation patterns
 
 
 </li>
 </ul>
 
 Disclaimer:
 
 CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, &amp; performance. Female and minorities are strongly encouraged and preferred to apply for the role
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Provident Fund (PF): 5% of the basic salary will be deducted after the probation period. Employer contribution entitlement will commence after 12 months of confirmation
 </li>
 <li>
 Medical Insurance (Pakistan): Coverage includes spouse and parents up to the age of 80
 </li>
 <li>
 Life Insurance
 </li>
 <li>
 Performance-Based Increment
 </li>
 <li>
 32 Paid Leaves (Annual)
 </li>
 <li>
 Easy Loan Facility
 </li>
 <li>
 Company-Sponsored Trips
 </li>
 <li>
 Gym Passport Membership (Access To 250+ Gyms)
 </li>
 </ul>
</div>

AWS AI/ML Practice Lead

CodeNinja

<div>About the Company 
CodeNinja is a global AI and engineering services company helping enterprises build, scale, and operate intelligent systems. With 350+ engineers across four continents and 400+ successful deployments, CodeNinja enables organizations to harness artificial intelligence through Global Capability Centers, Work AI, Physical AI, and AI Labs. Recognized among Pakistan&rsquo;s fastest-growing AI firms and a multi-award recipient on Clutch, CodeNinja empowers over 250 clients worldwide to innovate, automate, and compete in the intelligence economy.
About The Role
We're looking for an experienced AWS AI/ML Practice Lead to own technical direction and client delivery of agentic AI solutions built on AWS &mdash; from pre-sales architecture through production deployment.
Key Responsibilities<ul><li>
Lead technical discovery and whiteboarding sessions, translating business problems into agentic AI architectures on AWS</li><li>
Design end-to-end solution architectures using Bedrock, SageMaker, Step Functions, Lambda, and EventBridge</li><li>
Build cost models, effort estimates, and technical proposals; support sales team on client calls and RFPs</li><li>
Own technical delivery of agentic AI engagements from kickoff to production, leading blended engineering teams</li><li>
Set architecture standards, conduct code reviews, manage technical risk, and enforce CI/CD and IaC best practices</li><li>
Serve as primary technical point of contact for clients during active engagements</li><li>
Build reusable reference architectures, accelerators, and PoC assets for agentic AI on AWS</li><li>
Mentor the AWS CoE team on AI/ML services, agentic design patterns, and production deployment practices.</li></ul> 

Requirements 
<ul><li>
Deep hands-on experience with Amazon Bedrock (Agents, Knowledge Bases, Guardrails), SageMaker, Lambda, Step Functions, and API Gateway</li><li>
Strong grasp of agentic design patterns: ReAct loops, multi-agent delegation, RAG systems, and tool-use architectures</li><li>
Experience with AWS data services: OpenSearch Serverless, DynamoDB, S3, Glue, Kinesis</li><li>
Familiarity with orchestration frameworks (LangChain, LangGraph or equivalent) deployed on AWS</li><li>
Proven background in the AWS partner ecosystem &mdash; prior role as Solutions Architect, Principal Consultant, or Practice Lead at an AWS partner firm</li><li>
Ability to lead client rooms: whiteboard on the spot, handle technical objections, engage both technical and executive stakeholders</li><li>
Experience leading distributed engineering teams through full delivery lifecycles on AWS</li><li>
Strong opinions on CI/CD, CDK/Terraform, and observability (CloudWatch, X-Ray)</li></ul>
Why Join Us<ul><li>
Build quality systems for real-world AI-enabled products, including LLM evaluations and reliability guardrails.</li><li>
Own feature-level quality end-to-end: from test strategy to CI/CD quality gates to production readiness.</li><li>
Work with strong cross-functional teams across Engineering, Product, and AI stakeholders in an Agile environment.</li><li>
Grow in modern quality engineering practices: observability, automation frameworks, shift-left testing, and AI evaluation patterns.</li></ul> 
Disclaimer: CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, &amp; performance. Female and minorities are strongly encouraged and preferred to apply for the role 
Benefits 
<ul><li>
Provident Fund (PF): 5% of the basic salary will be deducted after the probation period. Employer contribution entitlement will commence after 12 months of confirmation.</li></ul><ul><li>
Medical Insurance (Pakistan): Coverage includes spouse and parents up to the age of 80.</li><li>
Life Insurance</li><li>
Performance-Based Increment</li><li>
32 Paid Leaves (Annual)</li><li>
Easy Loan Facility</li><li>
Company-Sponsored Trips</li><li>
Gym Passport Membership (Access To 250+ Gyms)</li></ul></div>

92Techno

We are seeking an experienced AI/GenAI Solution Architect to lead the design and delivery of enterprise-grade AI solutions.Responsibilities<ul><li>Engage with clients early to understand AI/GenAI/ML use cases and business requirements</li><li>Design proposed AI architectures and delivery approaches for opportunities</li><li>Provide effort estimates, assumptions, and implementation roadmaps for AI components</li><li>Lead end-to-end AI/GenAI solution architectures including data, models, integration, and deployment</li><li>Own scoped AI work packages delivered by the AI CoE within larger delivery projects</li><li>Ensure AI solutions are production-grade, secure, scalable, and maintainable</li><li>Collaborate with delivery teams for integration, handover, and deployment support</li><li>Establish reusable reference architectures, patterns, and best practices</li><li>Lead AI-enabled development initiatives across delivery teams</li><li>Standardize AI tools and workflows across the software development lifecycle (requirements, design, coding, testing, documentation)</li><li>Maintain awareness of emerging AI tools, models, and industry trends</li><li>Support internal incubation efforts and AI technology radar initiatives</li><li>Guide and mentor junior AI engineer and data analysts, providing technical direction, support, and feedback to elevate team expertise.</li></ul>Required Qualifications<ul><li>8+ years of experience in solution architecture, AI/ML engineering, or related roles</li><li>Strong understanding of AI/ML concepts, GenAI architectures, and modern model ecosystems</li><li>Experience designing AI solutions for enterprise clients, including integration into business applications</li><li>Hands-on familiarity with GenAI patterns such as RAG, agents, embeddings, and prompt engineering</li><li>Strong communication and stakeholder management skills, especially in client-facing settings</li><li>Ability to work across pre-sales, delivery, and engineering teams</li></ul>Preferred Skills<ul><li>Experience with cloud AI platforms (Azure AI, AWS SageMaker, GCP Vertex AI)</li><li>Familiarity with MLOps practices, evaluation frameworks, and deployment pipelines</li><li>Exposure to enterprise security, compliance, and responsible AI governance</li><li>Prior experience in consulting or client delivery environments</li></ul>Job Type: Full-timePay: Rs500,000.00 - Rs600,000.00 per monthWork Location: In person

AI Solution Architect

HR Konnect Consultants

About SoftarixSoftarix is a leader in amplifying organizations&rsquo; cloud potential through AI. With a track record of hundreds of successful migrations and implementations across AWS and Salesforce, Softarix has developed strategies and solutions that enable businesses of all sizes to remain at the forefront of innovation.Softarix is a leader in AI-led professional and managed services. As an AWS Premier and audited managed services Partner, and Salesforce Consulting partner, Softarix provides comprehensive AI-led cloud journey support, from initial migration to ongoing management through our Engage Managed Services. Our expertise ensures that clients remain aligned with ecosystem best practices while focusing on their core business growth.Job SummaryWe are looking for a savvy Machine Learning/Data Engineer to join our growing team of data experts. The hire will be primarily responsible for AI/ML projects on AWS, leveraging native services as well as custom-built models to deliver predictive insights to our customers. In addition, this hire will also support migrating to the cloud, optimizing our customers&rsquo; databases and data flows, and enriching our operational and functional data flow with AI/ML algorithms.The ideal candidate is confident in data in any form or scale and happy to learn and teach new data tools. The candidate enjoys optimizing data systems and building them from the ground up. The Machine Learning Engineer will support new system designs and migrate existing ones, working closely with solutions architects, project managers, and data scientists. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or re-designing our customers&rsquo; data architecture to support our next generation of products and data initiatives, and machine learning systems.ResponsibilitiesKeep our customers&rsquo; data separated and secure to meet compliance and regulations requirements.Design, Build and Operate the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and cloud (mainly AWS) migration and &lsquo;big data&rsquo; technologies.Optimize various RDBMS engines in the cloud and solve customers' security, performance, and operation problems.Design, Build and Operate large, complex data lakes that meet functional / non-functional business requirements.Optimize various data types ingestion, storage, processing, and retrieval from near real-time events and IoT to unstructured data as images, audio, video and documents, and in between.Use Jupyter Notebooks to build and deploy ML models.Leverage AWS AI/ML pre built solutions to accelerate work for customersWork with customers and internal stakeholders, including the Executive, Product, Data, Software Development, and Design teams, to assist with data-related technical issues and support their data infrastructure and business needs.RequirementsSummary of Key RequirementsWe seek a candidate with 3+ years of experience in a Data Scientist/Machine Learning Engineer role who has attained a Bachelor's (Graduate preferred) degree in Computer Science, Mathematics, Informatics, Information Systems, or another quantitative field. They should also have experience using the following software/tools:Experience with big data tools: Spark, ElasticSearch, Hadoop, Kafka, Kinesis etc.Experience with relational SQL and NoSQL databases, such as MySQL or Postgres and DynamoDB or Cassandra.Experience with AWS cloud services: EC2, RDS, EMR, Redshift etc.Experience with functional and scripting languages: Python, Java, Scala, etc.Experience with various ML models for classification, scoring and more.Experience with Deep Learning Neural Networks (Convolution, NLP etc.)Experience with AWS AI/ML ServicesExperience with Python codingAdvanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.Experience building and optimizing &lsquo;big data&rsquo; data pipelines, architectures and data sets.Strong analytic skills related to working with unstructured datasets.Build processes supporting data transformation, data structures, metadata, dependency and workload management.Working knowledge of message queuing, stream processing, and highly scalable &lsquo;big data&rsquo; data stores.Experience supporting and working with external customers in a dynamic environment.Excellent Communication Skills are Required.Job Type: Full-timeWork Location: In person

Machine Learning/ DataEnineer ( AIML )

ACE Money Transfer

<div>
 
 Chief Technology Officer (CTO) &ndash; ACE Money Transfer
 
 
 
 
 About Ace Money Transfer
 
 
 
 ACE Money Transfer is a leading fintech company specializing in cross-border payments for customers across Europe, Canada, the UK, and Australia. We are committed to delivering secure, scalable, and customer-centric digital financial services while driving innovation in AI/ML, intelligent automation, and compliance-driven technology platforms.
 
 
 
 Job Summary
 
 
 
 The Chief Technology Officer (CTO) will provide strategic and technical leadership across Ace Money Transfer&rsquo;s global technology organization, driving the development of cross-border payment platforms, AI/ML initiatives, mobile applications, and regulatory compliance. This senior role requires a strong record of accomplishment in applied AI/ML leadership, scalable systems engineering, and secure financial technologies. The CTO will also champion DevSecOps practices, embedding security into every stage of the software delivery lifecycle, while ensuring resilient cloud-native infrastructures. Accountable for both the operational and financial performance of technology functions, the CTO will translate the company&rsquo;s vision into executable strategies that deliver innovative, secure, and customer-centric solutions across multiple markets.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Define and execute the technology roadmap aligned with Ace Money Transfer&rsquo;s business and innovation goals.
 </li>
 <li>
 Provide technical and strategic leadership across AI/ML programs focused on intelligent document processing, OCR, and LLM-based solutions.
 </li>
 <li>
 Translate vision into actionable AI/ML strategies, aligning technology innovation with business outcomes.
 </li>
 <li>
 Drive cross-border payments platform scalability, including UPI architecture, APIs, and cloud-native microservices.
 </li>
 <li>
 Oversee high-level technical designs and architectures for scalable and performant payment and AI platforms.
 </li>
 <li>
 Implement AI/ML for fraud detection, risk scoring, and intelligent automation.
 </li>
 <li>
 Oversee regulatory compliance with GDPR, PCI-DSS, DORA, Central Bank of Ireland, FCA, and ISO-27001 regulations.
 </li>
 <li>
 Champion penetration testing, cybersecurity frameworks, and resilience best practices
 </li>
 <li>
 Design and execute Disaster Recovery (DR) and Business Continuity Plans (BCP) to safeguard mission-critical operations.
 </li>
 <li>
 Lead and mentor cross-functional teams of data scientists, ML engineers, and software developers.
 </li>
 <li>
 Foster collaboration with compliance, product, and business stakeholders to deliver secure, user-first financial products
 
 
 </li>
 </ul>
 
 Qualifications &amp; Experience
 
 
 
 <ul>
 <li>
 10+ years of senior technology leadership in fintech, banking, or regulated financial services.
 </li>
 <li>
 Strong expertise in cross-border payments, UPI platform architecture, and remittance ecosystems.
 </li>
 <li>
 Proven track record in AI/ML leadership, especially in OCR, document AI, and LLM-based solutions.
 </li>
 <li>
 Expertise with .NET Core, Angular, cross-platform mobile development (iOS/Android), Python, and PHP.
 </li>
 <li>
 Expertise in databases (MySQL, MS SQL, PostgreSQL, DynamoDB) and data warehousing solutions for analytics and compliance reporting.
 </li>
 <li>
 Strong knowledge of cloud technologies (AWS, Azure, GCP), including containers, Kubernetes, and Docker.
 </li>
 <li>
 Deep experience in cybersecurity, DevSecOps, penetration testing, and IT resilience frameworks.
 </li>
 <li>
 Experience implementing CI/CD pipelines, DevOps automation, and microservices-based architectures.
 </li>
 <li>
 Certifications: TOGAF, PMP, GDPR Certification.
 </li>
 <li>
 Strong leadership, communication, and stakeholder collaboration skills
 
 
 </li>
 </ul>
 ACE Money Transfer : Company Profile - ACE Money Transfer
 
 
 Powered by JazzHR
 
 
 CzT57FC3sD
</div>

Chief Technology Officer

<div>Chief Technology Officer (CTO) &ndash; ACE Money Transfer<h2 class="jobSectionHeader">
About Ace Money Transfer</h2>
ACE Money Transfer is a leading fintech company specializing in cross-border payments for customers across Europe, Canada, the UK, and Australia. We are committed to delivering secure, scalable, and customer-centric digital financial services while driving innovation in AI/ML, intelligent automation, and compliance-driven technology platforms.<h2 class="jobSectionHeader">
Job Summary</h2>
The Chief Technology Officer (CTO) will provide strategic and technical leadership across Ace Money Transfer&rsquo;s global technology organization, driving the development of cross-border payment platforms, AI/ML initiatives, mobile applications, and regulatory compliance. This senior role requires a strong record of accomplishment in applied AI/ML leadership, scalable systems engineering, and secure financial technologies. The CTO will also champion DevSecOps practices, embedding security into every stage of the software delivery lifecycle, while ensuring resilient cloud-native infrastructures. Accountable for both the operational and financial performance of technology functions, the CTO will translate the company&rsquo;s vision into executable strategies that deliver innovative, secure, and customer-centric solutions across multiple markets.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Define and execute the technology roadmap aligned with Ace Money Transfer&rsquo;s business and innovation goals. 
</li><li>
Provide technical and strategic leadership across AI/ML programs focused on intelligent document processing, OCR, and LLM-based solutions. 
</li><li>
Translate vision into actionable AI/ML strategies, aligning technology innovation with business outcomes. 
</li><li>
Drive cross-border payments platform scalability, including UPI architecture, APIs, and cloud-native microservices. 
</li><li>
Oversee high-level technical designs and architectures for scalable and performant payment and AI platforms. 
</li><li>
Implement AI/ML for fraud detection, risk scoring, and intelligent automation. 
</li><li>
Oversee regulatory compliance with GDPR, PCI-DSS, DORA, Central Bank of Ireland, FCA, and ISO-27001 regulations. 
</li><li>
Champion penetration testing, cybersecurity frameworks, and resilience best practices.</li><li>
Design and execute Disaster Recovery (DR) and Business Continuity Plans (BCP) to safeguard mission-critical operations. 
</li><li>
Lead and mentor cross-functional teams of data scientists, ML engineers, and software developers. 
</li><li>
Foster collaboration with compliance, product, and business stakeholders to deliver secure, user-first financial products.</li></ul><h2 class="jobSectionHeader">
Qualifications &amp; Experience</h2><ul><li>
10+ years of senior technology leadership in fintech, banking, or regulated financial services. 
</li><li>
Strong expertise in cross-border payments, UPI platform architecture, and remittance ecosystems. 
</li><li>
Proven track record in AI/ML leadership, especially in OCR, document AI, and LLM-based solutions. 
</li><li>
Expertise with .NET Core, Angular, cross-platform mobile development (iOS/Android), Python, and PHP. 
</li><li>
Expertise in databases (MySQL, MS SQL, PostgreSQL, DynamoDB) and data warehousing solutions for analytics and compliance reporting. 
</li><li>
Strong knowledge of cloud technologies (AWS, Azure, GCP), including containers, Kubernetes, and Docker. 
</li><li>
Deep experience in cybersecurity, DevSecOps, penetration testing, and IT resilience frameworks. 
</li><li>
Experience implementing CI/CD pipelines, DevOps automation, and microservices-based architectures. 
</li><li>
Certifications: TOGAF, PMP, GDPR Certification. 
</li><li>
Strong leadership, communication, and stakeholder collaboration skills.</li></ul> 
ACE Money Transfer : Company Profile - ACE Money Transfer 

CzT57FC3sD</div>

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Job Title: Data Architect</h2>
Experience: 9+ Years 
Industry: Banking / Financial Services 
Location:Pakistan 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Job Summary</h2>
We are seeking an experienced Data Architect with a strong background in AI/ML and Big Data architectures to design, implement, and govern enterprise-wide data solutions. The ideal candidate will play a critical role in enabling data-driven decision-making, advanced analytics, and AI capabilities within a banking environment while ensuring compliance with regulatory and security standards.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design and implement enterprise data architecture across traditional systems, Big Data platforms, and cloud ecosystems.</li><li>
Architect scalable data lakes, data warehouses, and lakehouse solutions supporting structured and unstructured data.</li><li>
Define and manage data models, metadata frameworks, and data integration patterns for enterprise-wide use.</li><li>
Build and optimize data pipelines for batch and real-time processing using technologies like Hadoop, Spark, and Kafka.</li><li>
Enable AI/ML use cases by designing data platforms compatible with Python-based frameworks such as TensorFlow, PyTorch, and MLflow.</li><li>
Lead cloud data architecture initiatives across AWS, Azure, and GCP, ensuring high availability, scalability, and cost efficiency.</li><li>
Implement and enforce data governance, data quality, and data security frameworks using tools such as Collibra, Alation, and Apache Atlas.</li><li>
Collaborate with cross-functional teams including data engineers, data scientists, business analysts, and IT teams.</li><li>
Design and oversee ETL/ELT processes using tools like Informatica, Talend, and dbt.</li><li>
Utilize orchestration frameworks such as Apache Airflow to automate and monitor workflows.</li><li>
Ensure compliance with banking regulations, data privacy laws, and security standards.</li><li>
Evaluate and recommend emerging technologies to enhance the organization&rsquo;s data capabilities.</li></ul><h2 class="jobSectionHeader">
Required Skills &amp; Qualifications</h2><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, Data Science, or related field.</li><li>
9+ years of experience in data architecture, data engineering, or related roles, preferably in the banking or financial services industry.</li><li>
Strong expertise in Big Data technologies: Hadoop, Spark, Kafka.</li><li>
Hands-on experience with cloud platforms: AWS, Microsoft Azure, or Google Cloud Platform.</li><li>
Proficiency in data modeling (conceptual, logical, physical) and database design.</li><li>
Experience with data warehousing and lakehouse architectures (Snowflake, Databricks).</li><li>
Strong understanding of AI/ML data pipelines and frameworks (Python, TensorFlow, PyTorch).</li><li>
Expertise in ETL/ELT tools and data pipeline orchestration.</li><li>
Knowledge of data governance, metadata management, and data quality frameworks.</li><li>
Familiarity with banking data domains (risk, compliance, fraud, customer analytics).</li><li>
Excellent problem-solving, communication, and stakeholder management skills.</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications</h2><ul><li>
Certifications in Cloud Platforms (AWS/Azure/GCP) or Data Architecture.</li><li>
Experience with real-time streaming architectures.</li><li>
Knowledge of regulatory frameworks such as Basel III, GDPR, or local banking compliance standards.</li><li>
Exposure to Data Mesh or Data Fabric architectures.</li><li>
Experience with API-based data integration and microservices architecture.</li></ul><h2 class="jobSectionHeader">
Key Competencies</h2><ul><li>
Strategic Thinking</li><li>
Data Governance &amp; Compliance</li><li>
Solution Architecture</li><li>
Stakeholder Management</li><li>
Innovation &amp; Continuous Improvement</li></ul>
f6KdxkjExk</div>

Data Architect

Explore 900+ Aws ai ml practice lead in Lahore this May. Find roles across top companies and apply now to boost your career.

900 aws ai ml practice lead jobs In Lahore

AWS AI/ML Practice Lead

AWS AI/ML Practice Lead

AI Solution Architect

Machine Learning/ DataEnineer ( AIML )

Chief Technology Officer

Chief Technology Officer

Data Architect