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ai data engineer

Pakistan Single Window (PSW)

<div>
 <ul>
  <li>
   Build and optimize ETL pipelines for large-scale AI applications, integrating APIs, web scraping, and real-time data processing
  </li>
  <li>
   Develop and maintain scalable AI data infrastructure using PySpark, Pandas, SQL, and cloud services (Azure, AWS, GCP)
  </li>
  <li>
   Implement retrieval-augmented generation (RAG) pipelines using FAISS, ChromaDB, and Pinecone for AI-driven insights
  </li>
  <li>
   Deploy and monitor AI applications using FastAPI, Streamlit, Docker, for real-time performance
  </li>
  <li>
   Work with cross-functional teams to ensure data security, compliance, and AI model reliability in production environments
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's or Master's degree in Computer Science, Data Engineering, Artificial Intelligence, or a related field
  </li>
  <li>
   Atleast 2-4 years of experience in data engineering, AI/ML, or cloud-based AI infrastructure
  </li>
  <li>
   Expertise in Python, PySpark, and SQL for data transformation and large-scale processing
  </li>
  <li>
   Experience with cloud platforms (AWS, Azure, GCP) for AI model deployment and data pipeline automation
  </li>
  <li>
   Hands-on experience with vector databases (FAISS, ChromaDB, Pinecone) for efficient data retrieval
  </li>
  <li>
   Proficiency in containerization and orchestration tools like Docker and Kubernetes
  </li>
  <li>
   Strong understanding of retrieval-augmented generation (RAG) and real-time AI model deployment
  </li>
  <li>
   Knowledge of API development and AI service integration using FastAPI and Streamlit/Dash
  </li>
  <li>
   Ability to optimize AI-driven automation processes and ensure model efficiency
  </li>
  <li>
   Strong analytical and problem-solving skills
  </li>
  <li>
   Excellent communication and collaboration abilities
  </li>
 </ul>
</div>


AI Data Engineer

Pakistan Single Window

<div><ul><li>Build and optimize ETL pipelines for large-scale AI applications, integrating APIs, web scraping, and real-time data processing.</li>
<li>Develop and maintain scalable AI data infrastructure using PySpark, Pandas, SQL, and cloud services (Azure, AWS, GCP).</li>
<li>Implement retrieval-augmented generation (RAG) pipelines using FAISS, ChromaDB, and Pinecone for AI-driven insights.</li>
<li>Deploy and monitor AI applications using FastAPI, Streamlit, Docker, for real-time performance.</li>
<li>Work with cross-functional teams to ensure data security, compliance, and AI model reliability in production environments.</li>
</ul><p><b>
Requirements</b></p><ul>
<li>
Bachelor's or Master's degree in Computer Science, Data Engineering, Artificial Intelligence, or a related field.</li>
<li>Atleast 2-4 years of experience in data engineering, AI/ML, or cloud-based AI infrastructure.</li>
<li>Expertise in Python, PySpark, and SQL for data transformation and large-scale processing.</li>
<li>Experience with cloud platforms (AWS, Azure, GCP) for AI model deployment and data pipeline automation.</li>
<li>Hands-on experience with vector databases (FAISS, ChromaDB, Pinecone) for efficient data retrieval.</li>
<li>Proficiency in containerization and orchestration tools like Docker and Kubernetes.</li>
<li>Strong understanding of retrieval-augmented generation (RAG) and real-time AI model deployment.</li>
<li>Knowledge of API development and AI service integration using FastAPI and Streamlit/Dash.</li>
<li>Ability to optimize AI-driven automation processes and ensure model efficiency.</li>
<li>Strong analytical and problem-solving skills.</li>
<li>Excellent communication and collaboration abilities.</li></ul></div>

WebDigitalSphere

<p>We are looking for a <b>Senior AI Engineer</b> who is passionate about building <b>cutting-edge AI and Machine Learning solutions</b>. This role involves working with advanced technologies like <b>NLP, Generative AI (GenAI), Large Language Models (LLMs), LangChain, GCP, Python, and Computer Vision</b> to develop and deliver impactful AI-driven applications for clients across various industries.</p><p><b>Key Responsibilities:</b></p><ul><li>Design, build, and deploy scalable AI/ML models and pipelines.</li><li>Work on <b>NLP, GenAI, LLMs, LangChain, and Computer Vision</b> projects.</li><li>Collaborate with data scientists, developers, and product teams to implement innovative solutions.</li><li>Optimize and fine-tune models for performance, scalability, and accuracy.</li><li>Integrate AI models into real-world applications and client systems.</li><li>Stay updated on the latest trends in <b>AI, ML, and data science</b> to enhance solution quality.</li></ul><p><b>Required Skills &amp; Qualifications:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or a related field.</li><li>4&ndash;5 years of professional experience in AI/ML development.</li><li>Proficiency in <b>Python</b>, <b>TensorFlow</b>, <b>PyTorch</b>, or similar frameworks.</li><li>Hands-on experience with <b>NLP</b>, <b>LLMs</b>, <b>LangChain</b>, and <b>GCP (Google Cloud Platform)</b>.</li><li>Strong understanding of data preprocessing, model training, and deployment.</li><li>Excellent communication, teamwork, and problem-solving skills.</li></ul><p><b>Why Join Us:</b></p><ul><li>Competitive <b>USD-based salary</b>.</li><li>Opportunity to work with <b>global clients</b> and next-generation AI technologies.</li><li>Collaborative, innovative, and growth-oriented environment.</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

Senior AI Engineer

<p>Job description:</p><p>We are looking for a <b>Senior AI Engineer</b> who is passionate about building <b>cutting-edge AI and Machine Learning solutions</b>. This role involves working with advanced technologies like <b>NLP, Generative AI (GenAI), Large Language Models (LLMs), LangChain, GCP, Python, and Computer Vision</b> to develop and deliver impactful AI-driven applications for clients across various industries.</p><p><b>Key Responsibilities:</b></p><ul><li>Design, build, and deploy scalable AI/ML models and pipelines.</li><li>Work on <b>NLP, GenAI, LLMs, LangChain, and Computer Vision</b> projects.</li><li>Collaborate with data scientists, developers, and product teams to implement innovative solutions.</li><li>Optimize and fine-tune models for performance, scalability, and accuracy.</li><li>Integrate AI models into real-world applications and client systems.</li><li>Stay updated on the latest trends in <b>AI, ML, and data science</b> to enhance solution quality.</li></ul><p><b>Required Skills &amp; Qualifications:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or a related field.</li><li>4&ndash;5 years of professional experience in AI/ML development.</li><li>Proficiency in <b>Python</b>, <b>TensorFlow</b>, <b>PyTorch</b>, or similar frameworks.</li><li>Hands-on experience with <b>NLP</b>, <b>LLMs</b>, <b>LangChain</b>, and <b>GCP (Google Cloud Platform)</b>.</li><li>Strong understanding of data preprocessing, model training, and deployment.</li><li>Excellent communication, teamwork, and problem-solving skills.</li></ul><p><b>Why Join Us:</b></p><ul><li>Competitive <b>USD-based salary</b>.</li><li>Opportunity to work with <b>global clients</b> and next-generation AI technologies.</li><li>Collaborative, innovative, and growth-oriented environment.</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

Lead AI Engineer

ZIEL Global Private Limited

<p><b>About the Role</b><br/>We&rsquo;re looking for an experienced <b>AI Engineer</b> to design and implement production-grade AI systems that automate complex workflows, enable intelligent decision support, and deliver real-time insights for enterprise operations. You will build and optimize large language model (LLM) applications integrated with live business data, ensuring performance, reliability, and compliance at scale.</p><p><b>Key Responsibilities</b></p><ul><li>Develop intelligent agent workflows using frameworks such as LangChain or LangGraph</li><li>Integrate LLMs with APIs, databases, and external business systems</li><li>Design context-aware, multi-turn conversational systems and long-running agents</li><li>Build evaluation frameworks to measure system accuracy and business relevance</li><li>Fine-tune models for domain-specific use cases and explore reinforcement learning agents</li><li>Implement data security, compliance, and audit mechanisms for AI components</li></ul><p><b>Qualifications</b></p><ul><li>5+ years of software engineering or applied AI experience</li><li>Proven expertise building and deploying production AI/ML systems</li><li>Hands-on experience with major LLMs (OpenAI, Anthropic, or open-source)</li><li>Strong skills in Python and API-based system design</li><li>Familiarity with prompt engineering, RAG architectures, and vector databases</li><li>Excellent communication and analytical thinking skills</li></ul><p><b>Preferred</b></p><ul><li>Experience with industrial or procurement-based data domains</li><li>Familiarity with MRO or enterprise data environments</li></ul><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>Are you available to join immediately?</li><li>How would you rate your English communication skills, spoken and written?</li><li>What are your salary expectations?</li></ul><p>Work Location: In person</p>

AI Engineer

<p><b>About the Role</b><br/>We&rsquo;re looking for a <b>Data Engineer</b> to build secure, reliable, and scalable data pipelines powering real-time analytics and AI insights. You&rsquo;ll design cloud-based architectures that process, clean, and deliver mission-critical data across operations.</p><p><b>Key Responsibilities</b></p><ul><li>Design and maintain data pipelines for large-scale transactional and real-time data</li><li>Develop ETL/ELT workflows using Azure Data Factory, Databricks, or similar</li><li>Implement data quality, validation, and monitoring frameworks</li><li>Ensure compliance with data governance and protection regulations</li><li>Optimize data storage and access performance</li><li>Collaborate with AI, product, and backend teams for seamless data delivery</li></ul><p><b>Qualifications</b></p><ul><li>Bachelor&rsquo;s in Computer Science, Engineering, or related field</li><li>5+ years of data engineering experience</li><li>Expertise in SQL, Python, and Azure data services (Data Factory, Synapse, Data Lake)</li><li>Knowledge of both batch and streaming architectures</li><li>Strong understanding of data security and governance</li></ul><p><b>Preferred</b></p><ul><li>Experience with real-time analytics and industrial or procurement datasets</li></ul><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>Are you available to join immediately?</li><li>How would you rate your English communication skills, spoken and written?</li><li>What are your salary expectations?</li></ul><p>Work Location: In person</p>

Data Engineer

eMumba

<p></p><div><div><div><div><div><div><div><div><div>We&rsquo;re hiring a <b>hands-on Principal Data Engineer</b> who can both <b>architect and build</b> large-scale data systems.<br>
<br>
You&rsquo;ll design the blueprints for modern data pipelines &mdash; then write the code to bring them to life. From event-driven ingestion to analytics-ready datasets, your work will power the data backbone behind Emumba&rsquo;s AI and product platforms.<br>
</div><div>This is a <b>technical IC position</b>, not a managerial one. You&rsquo;ll spend most of your time writing code, optimizing data pipelines, and mentoring engineers through real-world implementation.</div></div></div>
</div><h2 class="jobSectionHeader"><b>Key Responsibilities
</b></h2><div><div><div><ul><li><b>Design and code</b> robust data pipelines for batch and real-time use cases.</li>
<li>Define data models, schemas, and evolution strategies for scalable systems.</li>
<li>Implement <b>reliable ingestion, transformation, and storage layers</b> across cloud services.</li>
<li>Work hands-on with event-driven architectures, microservices, and data APIs.</li>
<li>Optimize data quality, performance, and observability.</li>
<li>Partner with AI and backend teams to make data discoverable and usable in production.</li>
</ul><div>Contribute <b>directly to architecture, code reviews, and performance tuning</b>.</div></div></div>
</div><h2 class="jobSectionHeader"><b>Skills, Knowledge and Expertise
</b></h2><div><div><div><p><b>Must-Have Skills</b>
</p><ul><li>6+ years of hands-on experience in designing and building production data systems.</li>
<li>Strong coding in <b>Python</b> and proficiency in <b>SQL</b>.</li>
<li>Experience with <b>data modeling, ETL/ELT</b>, and data lifecycle management.</li>
<li>Familiarity with <b>event-driven systems</b> (Kafka, Kinesis, or similar).</li>
<li>Practical experience with <b>cloud-native data workflows</b> (AWS S3, Lambda, Glue, or similar).</li>
<li>Solid understanding of structured, semi-structured, and unstructured data formats.</li>
</ul><p><b>Nice-to-Have</b>
</p><ul><li>Experience working with vector stores or retrieval-based pipelines.</li>
<li>Familiarity with Lakehouse concepts (Delta/Iceberg/Hudi &mdash; or similar patterns).</li>
<li>Understanding of data governance, cataloging, and lineage tracking.</li>
<li>Exposure to ML data preparation or feature store design.</li>
</ul><p><b>Soft Skills</b>
</p><ul><li><b>Hands-on builder attitude: </b>owns delivery from architecture to deployment.</li>
<li>Collaborates across AI, backend, and DevOps teams.</li>
<li>Provides mentorship through examples, not supervision.</li>
</ul><div>Communicates clearly and pragmatically about technical trade-offs.</div></div></div>
</div><h2 class="jobSectionHeader"><b>About Emumba
</b></h2><div><div>We specialize in delivering innovative solutions and exceptional services to meet the diverse needs of our clients. With a strong commitment to quality and customer satisfaction, we strive to exceed expectations and drive success in every project we undertake.</div></div><p></p><div><br>
</div></div></div></div></div><p></p><div><div><div><div><div><div><div>
</div></div><div><div><p>Department</p>
<p><b>Backend</b></p>
<p>Employment Type</p>
<p><b>Full Time</b></p>
<p>Location</p>
<p><b>Islamabad, Pak</b></p>
<p>Workplace type</p>
<p><b>Fully remote</b></p></div></div></div></div></div></div></div></div><p></p>

Principal Data Engineer

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