data engineer

senior data engineer

ai & data engineer

associate data analyst

backend ai & data pipeline engineer Jobs in Islamabad

backend ai & data pipeline engineer

data scientist

Embrace Technologies Private Limited

<p><b>We&rsquo;re Hiring: Data Scientist (4+ Years Experience)</b><br/>On-Site - Gulberg Greens, Islamabad - Pakistan</p><p><b>Job Summary</b></p><p>We are looking for a <b>Data Scientist</b> who can go beyond reporting and help drive <b>real business decisions using data</b>.</p><p>This role requires someone who is comfortable working with large datasets, building models where needed, and clearly communicating insights to both technical and non-technical stakeholders.</p><p><b>Key Responsibilities</b></p><ul><li>Analyze datasets to identify <b>trends, patterns, and actionable insights</b></li><li>Build and validate <b>statistical and predictive models</b></li><li>Write and optimize <b>complex SQL queries</b></li><li>Work with business teams to <b>translate requirements into data solutions</b></li><li>Present findings in a clear and structured manner to support decision-making</li></ul><p><b>Requirements</b></p><ul><li><b>4+ years of experience</b> in Data Science or Data Analytics</li><li><b>Strong proficiency in:</b></li></ul><p><b>Python</b> (pandas, NumPy, scikit-learn or similar)<br/><b>SQL</b> (joins, aggregations, performance optimization)</p><ul><li><b>Solid understanding of:</b></li></ul><p>Statistics and data modeling<br/>Data cleaning and validation</p><ul><li><b>Strong communication skills</b> with the ability to explain insights clearly</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Experience with:</li><li>Machine learning models in production</li><li>Data visualization tools (Power BI, Tableau, etc.)</li><li>A/B testing or experimentation</li></ul><p><b>Work Environment</b></p><ul><li><b>On-site role (no remote option)</b></li><li>Collaborative team environment with cross-functional interaction</li></ul><p><b>How to Apply</b></p><p>Apply through Indeed and include:</p><ul><li>Updated CV</li><li>Examples of projects or work demonstrating data-driven insights (if available)</li><li>Fill out this form with further details</li></ul><p><b>https://docs.google.com/forms/d/e/1FAIpQLSf0rYCvDTev4nx6QF2xjSpQVb9VlrCBNkA62L8QwJ6K6jgWyw/viewform</b></p><p>Keywords: Data Scientist, Python, SQL, Data Analytics, Machine Learning, Statistics, Data Modeling</p><p>Job Type: Full-time</p><p>Work Location: In person</p>

Data Scientist

PackageX

<div><div><div><p><b>About PackageX</b></p>
<p>
PackageX is the execution layer for physical AI in enterprise logistics. We enable enterprises to see, understand, and execute real-world logistics operations in real time using Vision&ndash;Language&ndash;Action intelligence.</p>
<p>
We sit between systems of record (ERP, WMS, TMS) and the physical world, turning cameras, people, and automation into deterministic, auditable workflows. Rather than replacing existing systems, PackageX makes them operationally intelligent.</p>
<p>
We start with inbound receiving, the highest-friction choke point in logistics, and expand across adjacent workflows, sites, and automation modes. This creates a workflow-led enterprise expansion motion that compounds inside complex operations.</p>
<p>
We're a fast-growing pre-Series A stage startup in New York City with a distributed global team backed by Bullpen Capital, Pritzker Group, Sierra Ventures, Ludlow Ventures, MXV Capital, and NSV Wolf Capital.</p>
<p><b>
The Opportunity:</b></p>
<p>
We&rsquo;re looking for a hands-on data scientist someone who doesn&rsquo;t just build models, but digs deep to uncover fee insights, connects disparate data points, and surfaces extraordinary, business-shifting intelligence that others simply miss.</p>
<p>
This is not a role for someone who executes on predefined dashboards. It&rsquo;s for someone who asks &ldquo;why&rdquo; before &ldquo;how&rdquo;, who sees patterns before they become obvious, and who can translate raw data into a compelling narrative for business leaders, product teams, and operations alike.</p>
<p>
You will be a strategic intelligence partner across the company, combining rigorous data science, creative analytical thinking, and outstanding communication to move the business forward.</p>
<p><b>
What You&rsquo;ll Do:</b></p>
<p><b>
Data Insights &amp; Business Intelligence</b></p>
<ul>
<li>Mine complex, large-scale datasets to uncover hidden patterns, fee anomalies, and cross-domain correlations that drive real business decisions.</li>
<li>Proactively identify and surface extraordinary insights for leadership, operations, and partner teams, before the questions are even asked.</li>
<li>Build intuitive analytics tools and dashboards (Tableau, Power BI, Matplotlib/Seaborn) that translate complex data into actionable intelligence.</li>
<li>Deliver insight presentations with clarity and confidence to both technical and non-technical audiences.</li>
</ul>
<p><b>Machine Learning &amp; Predictive Modeling</b></p>
<ul>
<li>Design, train, and deploy scalable ML/DL models across NLP and predictive analytics domains.</li>
<li>Build frameworks and services for Machine Learning systems, ensuring reproducibility, performance, and production readiness.</li>
<li>Apply state-of-the-art modeling techniques to solve logistics and operational challenges across the PackageX platform.</li>
</ul>
<p><b>Data Engineering &amp; Infrastructure</b></p>
<ul>
<li>Architect and maintain ETL pipelines, data warehouses, and data models that power analytics at scale.</li>
<li>Identify and implement internal process improvements: automating manual workflows, optimizing data delivery, and redesigning infrastructure for greater scalability.</li>
<li>Build and expose data services via RESTful APIs using Django or Flask; deploy on AWS/GCP with Docker-based containerization.</li>
<li>Work with SQL Server, MongoDB, and other DBMS platforms to manage complex, enterprise-scale datasets.</li>
</ul>
<p><b>Quality &amp; Collaboration</b></p>
<ul>
<li>Follow engineering best practices: unit testing, design/code reviews, documentation, and CI/CD pipelines.</li>
<li>Collaborate closely with data analysts, ML engineers, and business stakeholders to ensure data models support both technical and strategic needs.</li>
<li>Respond quickly to bug fixes and enhancement requests; deliver on time with minimal supervision.</li>
</ul>
<p><b>What We&rsquo;re Looking For:</b></p>
<ul>
<li>5+ years of experience as a data scientist working on production-grade systems.</li>
<li>Expert-level proficiency in Python (Pandas, NumPy) and SQL for data processing, analysis, and complex querying.</li>
<li>Hands-on experience with ML/DL frameworks: TensorFlow, Keras, and/or PyTorch.</li>
<li>Deep understanding of NLP and modern deep learning algorithms.</li>
<li>Extensive backend experience with Django and Flask; comfort building and integrating RESTful APIs.</li>
<li>Experience with GitHub, AWS, GCP, Docker, and CI/CD tooling.</li>
<li>Proficiency with data warehousing, ETL pipeline design, and data modeling (schemas, NoSQL, large-scale datasets).</li>
<li>Experience with enterprise BI tools: Tableau and/or Power BI integration and development.</li>
<li>Fluency in Python visualization stack: Matplotlib, Seaborn, and similar libraries.</li>
</ul>
<div><p><b>What can you expect from the application process?</b></p>
<p>
All applications will be looked at by the People team, who will reach out to shortlisted candidates. Across various interview rounds, you'll speak with the hiring manager and other functional heads. We want to have an open discussion about your work and how we can be a great fit. The process may also involve an assessment or presentation relevant to the role. You can expect an offer after three rounds of interviews. All offers are subject to satisfactory reference and background checks.</p>
</div>
</div></div><div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

Senior Data Scientist

IEngineering

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Date Opened</p>
<div>04/13/2026
</div></div><div><p>Job Type</p>
<div>Full time
</div></div><div><p>Industry</p>
<div>IT Services
</div></div><div><p>Work Experience</p>
<div>1+ year
</div></div><div><p>City</p>
<div>Islamabad
</div></div><div><p>State/Province</p>
<div>Federal Capital
</div></div><div><p>Country</p>
<div>Pakistan
</div></div><div><p>Zip/Postal Code</p>
<div>44000
</div></div></ul></div><div><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><div><b>What we&rsquo;re looking for:</b><br>
</div><div>
iENGINEERING is currently seeking an ideal candidate who will assume the responsibility of leveraging AI pipelines to manipulate data across diverse projects. This individual will play a key role in identifying and addressing any issues within the pipeline, while also maintaining performance analytics to guarantee optimal functionality.</div><div></div><h3 class="jobSectionHeader"><b><br>
Requirements</b></h3><div></div><div><b><br>
What you&rsquo;ll be doing:</b>
<br>
</div><ul><li>Utilize AI pipelines to manipulate, process, and analyze data across multiple projects based on specific requirements.
<br>
</li><li>Leverage GIS tools such as QGIS and ArcGIS for advanced geospatial data analysis and visualization.<br>
</li><li>
Troubleshoot and resolve issues within AI pipelines, including data quality discrepancies, algorithmic errors, and performance bottlenecks.<br>
</li><li>
Track key metrics, develop Grafana dashboards, and analyze operational data to optimize the balance between automated and manual processes.<br>
</li><li>
Provide technical guidance and support to team members regarding the configuration, usage, and maintenance of AI pipelines.<br>
</li><li>
Demonstrate strong communication and collaboration skills by serving as a bridge between Service Delivery and the AI team for smooth project execution.<br>
</li><li>
Manage and oversee multiple projects simultaneously, effectively prioritizing tasks and consistently meeting deadlines.<br>
</li><li>
Continuously learn and adapt to emerging technologies and best practices in AI, GIS, and data analytics.<br>
</li><li>
Ensure compliance with data security policies and maintain high standards of data integrity across all AI pipeline operations.<br>
</li></ul><div><b>
What you&rsquo;ll bring along:</b><br>
</div><ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field.
<br>
</li><li>1+ years of hands-on experience in data analytics, AI pipelines, or related technical roles.<br>
</li><li>
Proficiency in SQL and Python for exploratory data analysis (EDA) and data processing, with experience using libraries such as Pandas, NumPy, Matplotlib, GeoPandas, and Shapely.<br>
</li><li>
Experience working with geospatial data, including tools like QGIS, ArcGIS, and other ESRI products.<br>
</li><li>
Strong analytical and problem-solving abilities, with the capability to diagnose and resolve technical issues efficiently.<br>
</li><li>
Detail-oriented approach with a strong commitment to delivering high-quality outputs.<br>
</li><li>
Experience in performance analytics, dashboarding, or deriving actionable insights from data.<br>
</li><li>
Knowledge of Transportation Infrastructure or Asset Management domains is a plus.<br>
</li><li>
Certifications in AI, data analytics, or related areas are considered an advantage.<br>
</li></ul><div><b>
What we offer:</b><br>
</div><ul><li>
Integral role in our journey to make roads safer and save lives that are lost due to road accidents: Vision Zero.<br>
</li><li>
The chance to impact the success of our constantly growing project within the organization, iENGINEERING.<br>
</li><li>
Stability of an established company, iENGINEERING.<br>
</li><li>
Autonomous and empowering culture with high degree of freedom.<br>
</li><li>
Centrally located office in Blue Area, Islamabad.<br>
</li><li>
A competitive compensation package.<br>
</li><li>
20 days of annual/sick leaves plus gazette holidays.<br>
</li></ul><div><b>
A little about us:</b><br>
</div><div>
iENGINEERING, aims to revolutionize the entire road asset management chain: from collecting roadway/drone imagery to extracting features of interest to providing data maps and decision support systems. We are revamping our end-to-end product and service line to deliver up-to-date and accurate road data to our customers. This data allows road authorities in the US to develop maintenance plans and take measures to make roads safer for everyone. These authorities no longer need to rely on tedious, expensive, and unreliable processes to get their hands around this data. Countermeasures taken by road authorities based on this data not only save lives but also contribute towards our deep passion of making Vision Zero a reality.</div><div></div><div><br>
iENGINEERING is an equal employer and values diversity. We are committed to equal employment opportunity regardless of sex, race, color, religion, ancestry, age, marital status, or disability. All employment is decided on the basis of qualifications, merit, and business need.</div></div></div></div><p></p>

Associate Data Analyst

Cloud Enterprise Business Solutions (CEBS)

<div>
 <p>
  <strong>
   Data Engineer
  </strong>
 </p>
 <p>
  We are looking for a Data Engineer with strong experience in Azure data services, Azure Databricks, PySpark, and Power BI to join our customer analytics and insights team. You will play a key role in bridging the gap between business requirements and technical delivery working across data engineering, analytics, and stakeholder communication.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Work closely with business stakeholders to gather, understand, and translate business requirements into scalable data solutions.
  </li>
  <li>
   Design, build, and optimize data pipelines in Azure Databricks using PySpark and SQL.
  </li>
  <li>
   Collaborate with analysts and product owners to deliver ad-hoc analyses, as well as end-to-end production-grade data solutions.
  </li>
  <li>
   Manage and maintain data lakes, ensuring efficient data ingestion, transformation, and storage.
  </li>
  <li>
   Develop data models and datasets optimized for Power BI dashboards and self-service analytics as well as design and create dashboards.
  </li>
  <li>
   Participate in CI/CD and DevOps processes for automated deployment and monitoring of data workflows.
  </li>
  <li>
   Communicate technical concepts effectively to non-technical business users, providing clarity and actionable insights.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Qualifications
  </strong>
 </p>
 <ul>
  <li>
   3+ years of experience as a Data Engineer. Experience in Azure data ecosystem (Azure Data Factory, Azure Data Lake Gen2, Azure Databricks) is a plus.
  </li>
  <li>
   Strong hands-on experience in PySpark, SQL, and Python for data transformation and pipeline automation.
  </li>
  <li>
   Experience designing and managing data pipelines and ETL processes using Databricks and Delta Lake.
  </li>
  <li>
   Experience in Data Visualization and a good understanding of Power BI data.
  </li>
  <li>
   Experience in stakeholder management. Translating business needs into data-driven solutions and presenting findings clearly.
  </li>
  <li>
   Familiarity with DevOps concepts, Git, and CI/CD pipelines in Azure DevOps.
  </li>
  <li>
   Solid understanding of data governance, data quality, and metadata management principles.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What&rsquo;s in it for you
  </strong>
 </p>
 <ul>
  <li>
   Competitive salary
  </li>
  <li>
   Employees' Provident Fund, medical and other incentives
  </li>
  <li>
   Unique working environment where you communicate and work directly with international clients
  </li>
  <li>
   Self-development opportunities
  </li>
 </ul>
</div>


Data Engineer

International Rescue Committee

<div><p>The International Rescue Committee (IRC) responds to the world's worst humanitarian crises, helping to restore health, safety, education, economic wellbeing, and power to people devastated by conflict and disaster. Founded in 1933 at the call of Albert Einstein, the IRC is one of the world's largest international humanitarian non-governmental organizations (INGO), at work in more than 40 countries and 29 U.S. cities helping people to survive, reclaim control of their future and strengthen their communities. A force for humanity, IRC employees deliver lasting impact by restoring safety, dignity and hope to millions. If you're a solutions-driven, passionate change-maker, come join us in positively impacting the lives of millions of people world-wide for a better future.</p><p></p><p>
Technology and Operations support the organization's work by providing reliable and scalable solutions for the IRC's offices around the world. The Data Team at IRC is responsible for the design and delivery of global data strategies and the systems and products that deliver on it.</p><p><b><br>
Job Overview / Summary</b><br>
The Data Engineer will support the implementation, configuration, and maintenance of data pipelines and transformation workflows across IRC's data environment. This role plays an active part in building and operating ELT processes, dbt models, and cloud-based data platforms including Azure Databricks and the IRC Lakehouse.</p><p><br>
The successful candidate has foundational to growing expertise in dbt, SQL, and Databricks, and is eager to take on increasing ownership of data engineering deliverables. Working closely with senior engineers and the Data Architect, this role contributes to data modeling, pipeline development, and platform reliability in a collaborative and fast-paced environment.</p><p><b><br>
Major Responsibilities</b></p><div><b><br>
Pipeline Engineering &amp; Orchestration</b><br>
<ul><li>Build and maintain ELT data pipelines using Databricks Workflows and Azure Data Factory for batch and scheduled processing from internal and external sources.</li><li>Support the ingestion of data from key systems (e.g., D365 CRM, ServiceNow) into Lakehouse.</li><li>Monitor pipeline execution, identify failures, and troubleshooting issues in collaboration with senior engineers.</li><li>Contribute to pipeline documentation and help maintain runbooks and process standards.</li></ul></div><div><b><br>
dbt Development</b><br>
<ul><li>Develop and maintain dbt models across staging, intermediate, and mart layers under the guidance of senior team members.</li><li>Write dbt tests and contribute to source freshness checks to support data quality.</li><li>Learn and apply dbt best practices including modular design, ref dependencies, and incremental model patterns.</li><li>Work with analysts and business teams to translate data requirements into dbt models.</li></ul></div><div><b><br>
SQL &amp; Data Transformation</b><br>
<ul><li>Write intermediate to advanced SQL for data extraction, transformation, and validation tasks.</li><li>Apply SQL techniques including joins, CTEs, window functions, and aggregations to support reporting and analytics needs.</li><li>Assist in query optimization and performance troubleshooting within</li></ul></div><p></p><div><b>
Databricks SQL environments.</b><br>
<ul><li>Support data model maintenance and help accommodate new source fields or schema changes.</li></ul></div><div><b><br>
Databricks &amp; Cloud Platform</b><br>
<ul><li>Develop and maintain Databricks notebooks and jobs for data transformation workloads.</li><li>Gain hands-on experience with Delta Lake concepts and PySpark for data processing.</li><li>Follow Lakehouse design patterns (Bronze/Silver/Gold) as defined by the Data Architect.</li><li>Support cloud resource management including basic cluster configuration and job scheduling.</li></ul></div><div><b><br>
Collaboration &amp; Learning</b><br>
<ul><li>Actively collaborate with the Data Team on pipeline design, troubleshooting, and delivery.</li><li>Participate in code reviews and incorporate feedback to improve code quality.</li><li>Support documentation of processes, standards, and data flows.</li><li>Engage with Finance, FP&amp;A, and other business teams to understand data needs and assist in solution delivery.</li></ul></div><div><i><br>
Key Working Relationships</i><br>
<ul><li>Data Team (Data Architect, Lead Data Engineer, Data Analysts)</li><li>Business / Departmental Priority Setters (Finance, FP&amp;A, Operations)</li><li>Enterprise Systems Owners (D365 CRM, Integra)</li></ul>
Position Reports To</div><p><br>
Lead Data Engineer<br>
Position Supervises: None</p><p><i><br>
Travel Requirements</i><br>
Special projects may require travel to enable on-the-ground learning to support data strategy deliverables.</p><p><b><br>
Minimum Requirements</b></p><div><b><br>
Experience</b><br>
<ul><li>3&ndash;6 years of hands-on experience in data engineering, analytics engineering, or a related technical role.</li><li>Demonstrated experience building or maintaining data pipelines in a professional setting.</li><li>Exposure to cloud-based data platforms, preferably Azure (Databricks, Data Factory, or Synapse).</li></ul></div><div><b><br>
Technical Skills &mdash; Required</b><br>
dbt:<br>
<ul><li>Working knowledge of dbt model development including staging and mart layers.</li><li>Familiarity with dbt tests, documentation, and source configurations.</li><li>Eagerness to deepen dbt skills including incremental models and CI/CD integration.</li></ul></div><div><b><br>
Databricks:</b><br>
<ul><li>Hands-on experience with Databricks notebooks and basic job/workflow setup.</li><li>Familiarity with Delta Lake concepts and Databricks SQL.</li><li>Exposure to PySpark for data transformation tasks.</li></ul></div><div><b><br>
SQL:</b><br>
<ul><li>Solid SQL skills: joins, CTEs, window functions, aggregations, and basic performance awareness.</li><li>Experience writing SQL for data transformation and validation in a cloud data warehouse.</li></ul></div><div><b><br>
Pipeline Engineering:</b><br>
<ul><li>Experience building or supporting ELT pipelines with monitoring and basic data validation.</li><li>Familiarity with pipeline orchestration tools such as Azure Data Factory or Databricks Workflows.</li></ul></div><div><b><br>
Python:</b><br>
<ul><li>Basic to intermediate Python skills for data processing, scripting, and automation.</li><li>Familiarity with PySpark is a plus.</li></ul></div><div><b><br>
Data Modeling:</b><br>
<ul><li>Understanding of star/snowflake schemas and fact &amp; dimension table concepts.</li><li>Exposure to Lakehouse or medallion architecture (Bronze/Silver/Gold) is a plus.</li></ul></div><div><b><br>
Soft Skills</b><br>
<ul><li>Curious and eager to learn with a proactive approach to problem-solving.</li><li>Good communication skills &mdash; able to collaborate across technical and non-technical teams.</li><li>Attention to detail and a strong sense of data quality.</li><li>Comfortable working in a collaborative, fast-paced, and remote team environment.</li></ul></div><div><b><br>
Preferred Additional Requirements</b><br>
<ul><li>Experience with Databricks or Azure Synapse Analytics.</li><li>Familiarity with D365 CRM or Similar data structures.</li><li>Exposure to Git-based workflows and CI/CD practices for data pipeline deployments.</li><li>Experience in a humanitarian, nonprofit, or international development context.</li></ul></div><p><b><br>
Working Environment</b><br>
Remote</p><p></p><p><b><br>
PROFESSIONAL STANDARDS</b></p><p></p><p>
All International Rescue Committee workers must adhere to the core values and principles outlined in IRC Way - Standards for Professional Conduct. Our Standards are Integrity, Service, Equality and Accountability. In accordance with these values, the IRC operates and enforces policies on Safeguarding, Conflicts of Interest, Fiscal Integrity, and Reporting Wrongdoing and Protection from Retaliation. IRC is committed to take all necessary preventive measures and create an environment where people feel safe, and to take all necessary actions and corrective measures when harm occurs. IRC builds teams of professionals who promote critical reflection, power sharing, debate, and objectivity to deliver the best possible services to our clients.</p><p></p><p>
Cookies: https://careers.rescue.org/us/en/cookiesettings</p><p></p><p>
#li-1</p></div>

Seeka Technology

<div><b>Company Description</b><p><br>
We believe strong early career roles should do more than give someone a job title. They should help people grow into the kind of professionals they want to become. At SEEKA Technologies, we give junior team members meaningful work that builds real capability, sharpens problem-solving, and develops practical experience in fast-moving business and technology environments. Our goal is to help emerging talent strengthen their skills, expand their potential, and prepare for a future shaped by constant innovation across business and IT.</p><p>
SEEKA Technologies (Not Seeka Limited) is a project under its parent organisation, called Fresh Futures Australia, which is an education consultant based in both Australia and Malaysia. We are developing and creating a platform that utilises A.I. to help match students and job seekers to the right opportunities relevant to them from Kindergarten up to the University, along with vocational training centres and language schools, and of course to businesses and companies who need the right candidates. Our mission is to make it easier for anyone to find, filter and apply to educational institutions and companies in a more seamless manner.</p><p>
We are currently looking to hire a junior Backend AI &amp; Data Pipeline Engineer who wants to build real-world experience in backend systems, data processing, scraping, retrieval, and cloud-based infrastructure. This role is ideal for someone who already has hands-on technical experience and wants to grow further by working on meaningful engineering challenges that support Yuzee&rsquo;s intelligent matching platform. You will contribute to the systems that process data, power search and matching, and improve the efficiency, reliability, and scalability of our platform.</p><p>
Below are the important details you will need to take note of:</p><ul><li>
English is the primary language used in the role</li><li>
This is a full-time remote/work-from-home position</li><li>
We welcome both local and international candidates</li><li>
Candidates should have a degree or proven practical experience relevant to the role</li></ul><br>
<b>
Job Description</b><p><b><br>
About the role</b></p><p>
We are looking for a Backend AI &amp; Data Pipeline Engineer to own the end-to-end data processing infrastructure that powers Yuzee's intelligent course and job matching platform. You will design and maintain scalable, event-driven pipelines that process tens of thousands of daily records, generate semantic embeddings, and feed a growing knowledge graph used for personalised career pathway recommendations.</p><p><b>
What you'll do</b></p><ul><li>
Design and maintain three distinct processing pipelines &mdash; scheduled job ingestion, event-driven course processing, and a periodic knowledge graph builder &mdash; each with independent trigger logic and cost controls</li><li>
Generate and manage semantic embeddings via Amazon Bedrock (Titan v2), index them in MongoDB Atlas Vector Search, and calibrate similarity thresholds to ensure match accuracy</li><li>
Build and maintain a knowledge graph linking jobs, courses, skills, and industries using FP-Growth association rules and archetype-to-SOC code mapping</li><li>
Build and improve a two-stage discovery and matching API on AWS Lambda &mdash; vector retrieval first, then deep eligibility scoring with LLM re-ranking</li><li>
Right-size Fargate Spot instances and design resumable processing loops that tolerate interruption, keeping infrastructure costs under control as data volume scales</li><li>
Maintain and improve daily job scrapers across multiple sources and build institution data scrapers with robust HTML cleaning pipelines</li></ul><p><b>
What we're looking for</b></p><ul><li>
1+ years of backend engineering experience focused on data pipelines, ML infrastructure, or search systems</li><li>
Hands-on experience with AWS serverless and container services &mdash; Lambda, ECS Fargate, EventBridge, and Step Functions</li><li>
Strong Python skills &mdash; Pandas, async processing, bulk database operations, and text cleaning</li><li>
Familiarity with vector databases and semantic similarity search; MongoDB Atlas Vector Search experience is a strong plus</li><li>
Cost-conscious infrastructure mindset &mdash; you think in per-record compute costs, free tiers, Spot resilience, and right-sizing</li><li>
Ability to document and communicate complex architecture clearly to both technical and non-technical stakeholders</li></ul><p><b>
Nice to have</b></p><ul><li>
Experience with knowledge graphs or association rule mining (FP-Growth, Apriori)</li><li>
Experience using LLMs for re-ranking or eligibility assessment on top of vector retrieval results</li><li>
Background in edtech, jobtech, or recommendation/matching systems</li></ul><br>
<b>
Qualifications</b><p><br>
Degree or existing proven experience</p><b><br>
Additional Information</b><p><br>
Use this instead:</p><p><b>
Benefits</b></p><ul><li>
Fully remote / work-from-home role</li><li><p>
Flexible working hours within the team&rsquo;s expected schedule and business needs</p></li><li><p>
Opportunity to work on real backend, data, and AI infrastructure projects</p></li><li><p>
Exposure to practical engineering challenges in scraping, pipelines, retrieval, and cloud systems</p></li><li><p>
Ongoing growth and development within a fast-moving technology environment</p></li><li><p>
Opportunity to build long-term value and grow with the company based on performance, including progression and increased responsibility over time</p></li></ul><p>
A slightly more polished version:</p><p><b>
Benefits</b></p><ul><li><p>
Fully remote / work-from-home position</p></li><li><p>
Some flexibility in working hours, depending on team requirements and deliverables</p></li><li><p>
Hands-on experience working on meaningful backend, data pipeline, and AI-related systems</p></li><li><p>
Opportunity to contribute to a growing platform with real product and engineering challenges</p></li><li><p>
Professional growth in a practical, fast-paced environment</p></li><li><p>
Strong potential for long-term progression based on performance, regardless of location</p></li></ul><p>
If you want it to sound more attractive for hiring, the strongest version would be to add things like:</p><ul><li><p>
ownership</p></li><li><p>
real product impact</p></li><li><p>
career growth</p></li><li><p>
direct exposure to architecture and scaling decisions</p></li></ul></div>

Backend AI & Data Pipeline Engineer

Zong 5G

<div>
 <p>
  Job Purpose:
 </p>
 <p>
  To lead the Business Intelligence &amp; Analytics function, enabling data-driven decision-making across the Marketing organization. The role is responsible for transforming raw data into actionable insights, building comprehensive dashboards and analytical frameworks, and conducting market research to support commercial strategy and reporting.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Job Responsibilities:
 </p>
 <ul>
  <li>
   BI Framework &amp; Dashboard Management: Design, develop, and maintain automated dashboards and reports covering performance KPIs such as Marketing KPI Dashboard, Region/Sub-Region KPIs, VOLTE/4G, and Channel-wise dashboards to ensure real-time visibility for management and stakeholders.
  </li>
  <li>
   Enhanced Reporting As Per New Requirements: Work closely with all the relevant departments to ensure end to end souring and incorporation of 5G KPIs (traffic, adoption, ARPU/PPGB, device penetration) in all the relevant systems and dashboards, ensuring seamless integration into existing BI frameworks and enabling real-time performance tracking for commercial teams
  </li>
  <li>
   Data Integration &amp; Collaboration: Collaborate with Data Warehouse, BSS, IT, Stock Base Operations, and Sales &amp; Distribution teams to access, integrate, and validate data sources for reporting and analytics accuracy. End-to-end implementation of approved bundle shares (Data, Voice, SMS, others) as per approved policy and framework by translating marketing decisions into system logic, coordinating with Pricing, IT/DWH teams for accurate deployment, and ensuring accurate reporting
  </li>
  <li>
   Advanced Analytics &amp; Insights Generation: Perform deep-dive analyses on recharge behavior, churn, ARPU, base dynamics, and channel efficiency to uncover actionable insights that inform product, pricing, and customer engagement strategies.
  </li>
  <li>
   Campaign &amp; Channel Analytics: Integrate new business or campaign channels (e.g., FTTH, WhatsApp, Digital) into the BI ecosystem; provide performance dashboards to support targeted marketing execution and ROI measurement.
  </li>
  <li>
   Marketing Research &amp; Customer Insights: Design and conduct customer surveys and perception studies through in-house and partner resources to assess brand health, satisfaction, and product usage trends. Translate insights into recommendations for Brand, Segments, and VAS teams
  </li>
  <li>
   Ad-hoc &amp; Strategic Analysis Support: Deliver customized, ad-hoc analyses for leadership and cross-functional teams on market trends, campaign performance, product evaluation, or competitive benchmarking as needed.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Eligibility Criteria (Education, Knowledge, Experience and Skills):
   </u>
  </strong>
 </p>
 <p>
  Education:
 </p>
 <ul>
  <li>
   In principle to have a minimum of Bachelors Degree or above.
  </li>
 </ul>
 <p>
  Work Experience:
 </p>
 <ul>
  <li>
   Should have preferably 8 yrs. of relevant experience.
  </li>
 </ul>
</div>


Senior Manager Business Intelligence & Analytics

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