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data engineer

Zones

<div>Description 
 
 
Company Overview:
When it comes to IT solution providers, there are a lot of choices. But when it comes to providers with innovative and differentiating end-to-end service offerings, there&rsquo;s really only one: Zones &ndash; First Choice for IT.TM
Zones is a Global Solution Provider of end-to-end IT solutions with an unmatched supply chain. Positioned to be the IT partner you need, Zones, a Minority Business Enterprise (MBE) in business for over 35 years, specializes in Digital Workplace, Cloud &amp; Data Center, Networking, Security, and Managed/Professional/Staffing services. Operating in more than 120 countries, leveraging a robust portfolio, and utilizing the highest certification levels from key partners, including Microsoft, Apple, Cisco, Lenovo, Adobe, and more, Zones has mastered the science of building digital infrastructures that change the way business does business ensuring whatever they need, they can Consider IT Done. Follow Zones, LLC on Twitter @Zones, and LinkedIn and Facebook. 
Position Overview
The Data Engineer will build and manage the end-to-end data ecosystem across pipelines, transformations, modeling, quality, and monitoring in an Azure-first environment. As the data engineer for the team, this role requires strong technical depth, full ownership, and the ability to support both operational and analytical data needs. The ideal candidate brings hands-on expertise with Azure Data Factory, Azure Databricks, Azure SQL, and integrations with APIs and Azure services, and is comfortable managing data pipelines, ensuring data quality, enabling security, and supporting Power BI datasets to deliver reliable and well-structured data to the business. 
What you&rsquo;ll do as the Data Engineer:
Employees employed in the role of Data Engineer shall be required to apply their independent mind and demonstrate intellectual abilities in their decision-making.
The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This job description is not intended to be a comprehensive list of the duties and responsibilities of the position, and the duties and responsibilities may change without notice. 
Key Responsibilities<ul><li>
Build and maintain data pipelines using Azure Data Factory for batch and incremental loads. 
</li><li>
Develop transformation workflows in Azure Databricks. 
</li><li>
Design and optimize Azure SQL schemas, tables, queries, indexes, and stored procedures. 
</li><li>
Integrate data from APIs, Logic Apps, and Function Apps, ensuring accuracy and consistency. 
</li><li>
Implement data quality, validation, and monitoring, with alerts and health checks for pipelines. 
</li><li>
Ensure data security and governance, including PII handling, access policies, and Key Vault. 
</li><li>
Collaborate with application and integration engineers on API-driven and event-driven data
 
requirements. 
</li><li>
Support Power BI at a basic level (datasets, model optimization, refresh schedules)</li></ul> 
What you will bring to the team:<ul><li>
Around 5 years of hands-on experience as a Data Engineer with end-to-end ownership of data pipelines and models. 
</li><li>
Strong expertise in:<ul><li>
Azure Data Factory (ADF)</li><li>
Azure Databricks</li><li>
Azure SQL 
</li></ul></li><li>
Solid understanding of ETL/ELT patterns, data modeling, and orchestration. 
</li><li>
Comfortable integrating with APIs, Logic Apps, and Function Apps. 
</li><li>
Working knowledge of Power BI datasets and refresh management. 
</li><li>
Clear communication skills and the ability to work independently and cross-functionally.</li></ul> 
Zones offers a comprehensive Benefits package
At Zones, we are committed to fostering an inclusive and diverse workplace where every team member is valued and supported. We offer life insurance, optional health insurance, EOBI, and a voluntary pension scheme in line with Company policy. Employees also enjoy additional perks such as Complimentary meals, and access to our in-house gym.
We take pride in being an equal opportunity employer and remain dedicated to maintaining a workplace free from discrimination of any kind. If you are passionate about driving innovation in IT, sales, engineering, or operations, Zones provides a dynamic and collaborative environment to help you grow your career.
All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy.
Job Timings: 8:00 PM to 5:00 AM (Pakistan Time)
#LI-SY1</div>

Data Engineer

NorthBay Solutions

<div>
 &nbsp;
 
 
 
 
 
 
 
 Job Title:
 
 
 
 
 
 
 
 
 
 
 
 
 Data Engineer (Snowflake)
 
 
 
 
 
 
 
 
 
 
 
 
 
 Location:
 
 
 
 
 
 
 
 
 
 
 
 
 Hybrid - Lahore, Karachi, Islamabad
 
 
 
 
 
 
 
 
 
 
 
 
 
 Experience:
 
 
 
 
 
 
 
 
 
 
 
 
 6-8 years (Minimum 4-6 years of Snowflake experience)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Job Category:
 
 
 
 
 
 
 
 
 
 
 
 
 Data Engineering
 
 
 
 
 
 
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Database Design &amp; Development:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Utilize Snowflake to design, develop, and optimize data architecture.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Work with PostgreSQL and other databases to manage and manipulate data.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Lead conversion projects from SQL-based platforms to Snowflake.
 
 
 
 
 
 
 </li>
 </ul>
 </li>
 <li>
 
 
 
 
 
 
 Programming &amp; Scripting:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Develop robust applications and scripts using C#, Java, and Python, or other relevant technologies.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Write efficient Snowflake functions and stored procedures using JavaScript.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Implement big data solutions using Spark and PySpark (Plus).
 
 
 
 
 
 
 </li>
 </ul>
 </li>
 <li>
 
 
 
 
 
 
 Cloud Integration:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Implement data storage solutions using Amazon S3 (AWS).
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Integrate and manage data pipelines using AWS Glue (Plus).
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Utilize AWS Lambda for serverless computing (Plus).
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Contribute to cloud data strategies involving GCP (Plus).
 
 
 
 
 
 
 </li>
 </ul>
 </li>
 <li>
 
 
 
 
 
 
 Additional Database Management:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Work with Aurora and MSSQL for various data management tasks (Plus).
 
 
 
 
 
 
 </li>
 </ul>
 </li>
 </ul>
 
 
 
 
 
 
 Required Skills:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Languages:
 
 
 
 
 
 
 
 
 
 
 
 
 C#, Java, Python, or other relevant technologies
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Database:
 
 
 
 
 
 
 
 
 
 
 
 
 Snowflake (Design, Develop), PostgreSQL
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Cloud Tools:
 
 
 
 
 
 
 
 
 
 
 
 
 Amazon S3 (AWS)
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Scripting:
 
 
 
 
 
 
 
 
 
 
 
 
 JavaScript (for Snowflake functions and stored procedures)
 
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 
 Preferred Skills:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Big Data Technologies:
 
 
 
 
 
 
 
 
 
 
 
 
 Spark, PySpark
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Cloud Tools:
 
 
 
 
 
 
 
 
 
 
 
 
 AWS Glue, AWS Lambda, GCP
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Database:
 
 
 
 
 
 
 
 
 
 
 
 
 Aurora, MSSQL
 
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 
 Conversion:
 
 
 
 
 
 
 
 
 
 
 
 
 SQL to Snowflake code conversion
 
 
 
 
 
 
</div>

Data Engineer(Snow Flake)

Taleemabad

<div>
 
 
 Analytics Engineer @ Taleemabad
 
 
 
 
 
 
 
 About Taleemabad
 
 
 
 Taleemabad is transforming the lives of hundreds of thousands of children across Pakistan by working with public schools to improve learning outcomes. We partner with forward-thinking governments, leverage technology, and use rigorous evidence and data to ensure that teachers teach well, learning is visible, and every child has access to high-quality education. We believe deeply in efficiency, cost-effectiveness, and scaling impact nationally.
 
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking an
 
 Analytics Engineer
 
 to bridge the gap between data engineering and data analysis. The role focuses on transforming raw, unstructured data into reliable, structured datasets through scalable data models and repeatable SQL transformations that support business analytics and decision-making.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design and maintain
 
 data models, schemas, and SQL transformations
 
 to structure raw data for analytics.
 </li>
 <li>
 Build and manage
 
 fact and dimension layers
 
 to standardize key business metrics.
 </li>
 <li>
 Develop
 
 repeatable data pipelines
 
 that ensure consistent and high-quality datasets.
 </li>
 <li>
 Identify
 
 patterns in data infrastructure
 
 and design scalable modeling layers.
 </li>
 <li>
 Collaborate with
 
 product, business, and analytics teams
 
 to translate business questions into structured data solutions.
 </li>
 <li>
 Utilize
 
 AI tools for data cleaning, schema standardization, and query generation
 
 to improve pipeline efficiency.
 </li>
 <li>
 Implement
 
 data quality checks, testing frameworks, and evaluation mechanisms
 
 to prevent errors in automated pipelines.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 <ul>
 <li>
 Strong proficiency in
 
 SQL and data modeling
 
 .
 </li>
 <li>
 Experience with
 
 data warehouses and ETL/ELT pipelines
 
 .
 </li>
 <li>
 Understanding of
 
 fact/dimension modeling and analytics layers
 
 .
 </li>
 <li>
 Familiarity with
 
 AI-assisted data workflows and automation tools
 
 .
 </li>
 <li>
 Strong analytical thinking and ability to recognize
 
 data patterns and infrastructure design opportunities
 
 .
 </li>
 </ul>
 
 
 
 
 
 Preferred
 
 
 <ul>
 <li>
 Experience with modern data stack tools such as
 
 dbt, Airflow, Snowflake, BigQuery, or similar
 
 .
 </li>
 <li>
 Knowledge of
 
 data quality testing and evaluation frameworks
 
 .
 </li>
 </ul>
 
 
</div>

Analytics Engineer

ImagineArt

<div><h3 class="jobSectionHeader">Who We Are</h3>
Vyro is redefining the future of digital creativity. We build cutting-edge content creation tools powered by Artificial Intelligence and Machine Learning, helping millions of creators, designers, and storytellers bring their imagination to life &mdash; effortlessly.
With a global user base of over 5 million active creators every month, Vyro&rsquo;s 20+ AI-powered apps are transforming how people design, edit, and express themselves across images, videos, and beyond.
From intuitive AI photo editors to next-gen video creation platforms, our products are designed to make creativity accessible, fast, and limitless.
At Vyro, we&rsquo;re a team of innovators, builders, and dreamers &mdash; known as Vyronauts &mdash; driven by passion, purpose, and the belief that technology should inspire creativity, not complicate it.
If you&rsquo;re excited about shaping the next wave of AI-powered creativity, Vyro is the place to be. 
 
Overview
We are seeking a highly experienced Senior Big Data Developer to design, build, and optimize large-scale data systems and backend infrastructure. The ideal candidate will have strong expertise in BigQuery, distributed data processing, and cloud-based data platforms, and will play a critical role in developing scalable data pipelines and backend services that support analytics, AI, and product systems.
This role requires deep technical expertise in handling large datasets, optimizing data workflows, and building reliable, production-grade data infrastructure.<h2 class="jobSectionHeader">
Responsibilities</h2><ul><li>
Design, build, and maintain scalable data pipelines and backend systems for processing large-scale datasets 
Develop, optimize, and manage complex queries, datasets, and workflows in BigQuery and data warehouse systems</li><li>
Build robust ETL/ELT pipelines to ingest, transform, and process data from multiple sources</li><li>
Develop backend services and data processing systems using languages such as Go, Python.</li><li>
Ensure high performance, scalability, reliability, and cost efficiency of data systems</li><li>
Integrate data systems with cloud services, APIs, and distributed systems</li><li>
Monitor, troubleshoot, and optimize data pipelines and backend infrastructure</li><li>
Collaborate with data scientists, analysts, and engineering teams to support analytics and AI-driven features</li><li>
Design clean, efficient, and maintainable system architecture</li><li>
Mentor junior engineers and contribute to technical leadership and architectural decisions</li></ul>
Requirements<ul><li>
5+ years of experience in Big Data, backend engineering, or data infrastructure roles</li><li>
Strong hands-on experience with BigQuery or similar data warehouse technologies (Snowflake, Redshift, Databricks, etc.)</li><li>
Strong proficiency in at least one programming language such as Go, Python, Node.js, or Java</li><li>
Strong expertise in SQL and query performance optimization</li><li>
Experience building and maintaining ETL/ELT pipelines</li><li>
Experience working with large-scale datasets and distributed systems</li><li>
Experience with cloud platforms such as Google Cloud Platform (preferred), AWS, or Azure</li><li>
Strong understanding of data architecture, scalability, and performance optimization</li><li>
Excellent problem-solving and debugging skills</li></ul>
Preferred Qualifications<ul><li>
Experience with GCP services such as BigQuery, Cloud Storage, Pub/Sub, and Cloud Run</li><li>
Experience with Apache Spark, Kafka, or Airflow</li><li>
Experience supporting analytics, AI, or machine learning systems</li><li>
Experience with real-time and batch data processing systems</li><li>
Experience with microservices architecture</li></ul></div>

Senior Big Data Developer

Datamatics Technologies

<div>
 
 
 Job Title:
 
 Data Integration / ETL Developer (Oracle Cloud Data Integration)
 
 
 Location:
 
 &nbsp;Offshore
 
 
 Experience:
 
 5+ Years
 
 Job Summary
 
 We are seeking an experienced
 
 Data Integration / ETL Developer
 
 responsible for designing and developing data ingestion and transformation pipelines to support enterprise analytics and reporting solutions. The ideal candidate will work with large datasets and build scalable ETL workflows that feed data into the analytics layer used for dashboards and business intelligence reports.
 
 
 The role requires strong expertise in
 
 Oracle Cloud Data Integration (OCI Data Integration) or similar ETL platforms
 
 , along with advanced SQL and data transformation skills. The candidate will collaborate closely with BI developers and analysts to ensure that data structures and pipelines effectively support reporting and analytics requirements.
 
 Key Responsibilities
 <ul>
 <li>
 
 Develop and maintain
 
 data ingestion and transformation pipelines
 
 using Oracle Cloud Data Integration.
 
 </li>
 <li>
 
 Design and implement
 
 ETL workflows
 
 to extract, transform, and load data into the analytics data layer.
 
 </li>
 <li>
 
 Build and maintain
 
 data mappings and transformation logic
 
 to support business reporting requirements.
 
 </li>
 <li>
 
 Support
 
 data preparation, cleansing, and dataset creation
 
 for dashboards and analytics solutions.
 
 </li>
 <li>
 
 Troubleshoot and resolve
 
 data pipeline issues, failures, and data availability problems
 
 .
 
 </li>
 <li>
 
 Collaborate with
 
 BI developers and analysts
 
 to ensure data structures support reporting and dashboard requirements.
 
 </li>
 <li>
 
 Optimize ETL pipelines for
 
 performance, reliability, and scalability
 
 .
 
 </li>
 <li>
 
 Ensure proper
 
 documentation of data pipelines, mappings, and transformation rules
 
 .
 
 </li>
 <li>
 
 Follow data governance and best practices for
 
 data integration and quality management
 
 .
 
 </li>
 </ul>
 Required Skills &amp; Qualifications
 <ul>
 <li>
 
 Hands-on experience with
 
 Oracle Cloud Data Integration (OCI DI) or similar ETL tools
 
 .
 
 </li>
 <li>
 
 Strong proficiency in
 
 SQL and data transformation techniques
 
 .
 
 </li>
 <li>
 
 Experience designing and developing
 
 ETL pipelines for analytics and reporting solutions
 
 .
 
 </li>
 <li>
 
 Knowledge of
 
 data modelling concepts and data warehousing principles
 
 .
 
 </li>
 <li>
 
 Ability to work with
 
 large datasets and complex data transformation logic
 
 .
 
 </li>
 <li>
 
 Strong troubleshooting and problem-solving skills.
 
 </li>
 <li>
 
 Good collaboration skills to work with BI developers, analysts, and data teams.
 
 </li>
 </ul>
 Preferred Qualifications
 <ul>
 <li>
 
 Experience with
 
 cloud-based data platforms and analytics environments
 
 .
 
 </li>
 <li>
 
 Familiarity with
 
 data warehousing architectures such as star schema and dimensional modelling
 
 .
 
 </li>
 <li>
 
 Exposure to
 
 Agile or iterative data engineering development practices
 
 .
 
 </li>
 </ul>
</div>

Data Integration / ETL Developer (Oracle Cloud Data Integration)

Future Connect Training & Recruitment Ltd

<div>
 
 About Future Connect Training &amp; Recruitment Ltd
 
 
 
 
 
 Future Connect Training &amp; Recruitment Ltd is a leading provider of practical, hands-on training in IT and Data Science, working closely with professionals and businesses across the UK market. Our programs focus on making candidates job-ready from day one through real-world projects, flexible learning schedules, and personalized guidance.
 
 
 
 
 
 We equip learners with industry-relevant IT and data skills and connect them with an extensive network of organizations actively seeking skilled technology professionals.
 
 
 
 
 
 
 Responsibilities
 
 
 
 We are looking for a passionate and knowledgeable Data Science Trainer to join our team. The ideal candidate should have strong expertise in Data Science and Data Analysis and the ability to effectively train and mentor students or professionals in industry-relevant tools and technologies.
 
 
 
 
 
 Key Responsibilities:
 
 
 &bull; Deliver engaging training sessions in Data Science and Data Analysis
 
 
 &bull; Develop and implement effective lesson plans and training materials
 
 
 &bull; Guide learners in practical projects and real-world problem solving
 
 
 &bull; Mentor students and help them overcome learning challenges
 
 
 &bull; Adapt teaching methods to suit different learning styles and skill levels
 
 
 
 
 
 
 Qualifications
 
 
 
 Required Skills &amp; Expertise:&bull; Strong knowledge of Data Science and Data Analysis&bull; Experience with tools and technologies such as Python, SQL, Git, Machine Learning, Power BI, Tableau, and Advanced Excel.
 
 
 
 
 
 Excellent communication and presentation skills.
 
 
 Strong problem-solving and mentoring abilities.
 
 
 Experience in lesson planning and curriculum development.
 
 
 
 
 
 Educational Requirements: Degree in Data Science, Business Analytics, Computer Science, or a related field
 
 
 
 
 
 💰 Salary: PKR 50,000 &ndash; 70,000
 
 
 🕒 Working Hours: 2:00 PM &ndash; 11:00 PM (PKT)
 
 
 
 
 
 If you are passionate about teaching and want to help learners build strong careers in Data Science, we would love to hear from you.
 
 
 
 
</div>

Data Science/Data Analyst Trainer

Try Soft Ai

Try Soft AI is looking for a highly skilled AI Engineer with strong experience in AI Automation and Generative AI technologies to join our growing engineering team. The ideal candidate will have hands-on experience building AI-powered automation systems, AI agents, and voice AI solutions.Location: DHA Phase 2, Islamabad, Pakistan Job Type: Full-Time (Onsite) Working Hours: 08:00 PM &ndash; 05:00 AM (Pakistan Standard Time) Department: Artificial Intelligence / Automation EngineeringAbout the RoleWe are looking for a highly skilled AI Engineer with strong experience in AI Automation, LLM integrations, and workflow automation. The ideal candidate will design, develop, and deploy intelligent systems that automate business processes using AI models, APIs, and automation platforms.This role requires deep expertise in Generative AI, AI agents, API integrations, and automation pipelines. The engineer will work closely with product, engineering, and operations teams to build scalable AI-powered automation solutions for internal and client-facing applications.Key ResponsibilitiesAI Automation Development<ul><li>Design and develop AI-powered automation systems that streamline business workflows and operational processes.</li><li>Build AI agents, voice agents, and conversational assistants using LLMs and AI APIs.</li><li>Implement AI-driven automation pipelines for tasks such as lead qualification, customer support, appointment booking, and data processing.</li><li>Integrate AI models into production environments using APIs and microservices architecture.</li></ul>Generative AI &amp; LLM Implementation<ul><li>Develop applications using Large Language Models (LLMs) such as OpenAI GPT models, Claude, or similar AI platforms.</li><li>Design prompt engineering strategies to optimize LLM performance.</li><li>Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases.</li><li>Build AI copilots, chatbots, and decision support systems.</li></ul>Automation &amp; Integration<ul><li>Develop advanced automation workflows using tools such as:</li><li>Make.com</li><li>Zapier</li><li>n8n</li><li>LangChain</li><li>LlamaIndex</li><li>Integrate AI systems with:</li><li>CRM platforms</li><li>Databases</li><li>SaaS products</li><li>Web applications</li><li>Third-party APIs</li></ul>Voice AI &amp; Conversational Systems<ul><li>Develop AI voice agents and voice-based automation systems.</li><li>Integrate platforms such as:</li><li>Vapi.ai</li><li>Twilio</li><li>ElevenLabs</li><li>Speech-to-Text and Text-to-Speech engines</li><li>Implement real-time conversational AI systems for customer interactions.</li></ul>Backend Development &amp; API Engineering<ul><li>Design and implement RESTful APIs and AI microservices.</li><li>Integrate AI services into web and mobile applications.</li><li>Ensure scalability, reliability, and security of AI automation systems.</li></ul>Data &amp; Model Integration<ul><li>Work with structured and unstructured data sources.</li><li>Implement vector search and embeddings using vector databases such as:</li><li>Pinecone</li><li>Weaviate</li><li>FAISS</li><li>ChromaDB</li><li>Optimize AI models for performance and cost efficiency.</li></ul>Monitoring &amp; Optimization<ul><li>Monitor AI system performance and improve model outputs.</li><li>Implement logging, error handling, and retry mechanisms for automation workflows.</li><li>Continuously optimize AI workflows for accuracy, reliability, and efficiency.</li></ul>Required Technical SkillsProgramming Languages<ul><li>Python (Highly preferred)</li><li>JavaScript / Node.js</li><li>TypeScript</li></ul>AI &amp; Machine Learning<ul><li>Generative AI</li><li>LLM Applications</li><li>Prompt Engineering</li><li>Retrieval-Augmented Generation (RAG)</li><li>AI Agents &amp; Autonomous Workflows</li></ul>AI Frameworks<ul><li>LangChain</li><li>LlamaIndex</li><li>OpenAI API</li><li>HuggingFace</li><li>Transformers</li></ul>Automation Platforms<ul><li>Make.com</li><li>Zapier</li><li>n8n</li><li>Custom automation frameworks</li></ul>Voice AI Technologies<ul><li>Vapi.ai</li><li>Twilio Voice / SMS APIs</li><li>ElevenLabs</li><li>Speech-to-Text &amp; Text-to-Speech systems</li></ul>Databases<ul><li>PostgreSQL</li><li>MongoDB</li><li>Redis</li><li>Vector Databases (Pinecone, Weaviate, FAISS, Chroma)</li></ul>Cloud Platforms<ul><li>AWS / GCP / Azure</li><li>Docker</li><li>Serverless architectures</li></ul>Other Technical Skills<ul><li>REST APIs &amp; Webhooks</li><li>OAuth &amp; API authentication</li><li>Git / Version Control</li><li>CI/CD pipelines</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Software Engineering, or related field.</li><li>3+ years of experience in software development with exposure to AI technologies.</li><li>1&ndash;2+ years of hands-on experience building AI automation solutions.</li><li>Experience deploying AI-powered applications in production environments.</li><li>Excellent communication and collaboration skills. (MUST)</li></ul>Preferred Experience<ul><li>Experience building AI voice assistants or AI call agents.</li><li>Experience working with SaaS automation products.</li><li>Experience integrating AI systems with CRM platforms.</li><li>Experience in startup or fast-paced product environments.</li><li>Knowledge of AI security, privacy, and model governance.</li></ul>Soft Skills<ul><li>Strong analytical and problem-solving abilities.</li><li>Ability to design scalable automation architectures.</li><li>Excellent communication and collaboration skills. (MUST)</li><li>Ability to work independently during night shift operations.</li></ul>Work Environment<ul><li>Onsite role based in DHA Phase 2, Islamabad.</li><li>Night shift: 08:00 PM &ndash; 05:00 AM (Pakistan Standard Time).</li><li>Opportunity to work on cutting-edge AI automation and voice AI technologies.</li></ul>Work Location: In person

AI Engineer – AI Automation (Night Shift)

Explore 272+ Data engineer in Islamabad this March. Find roles across top companies and apply now to boost your career.