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data engineer

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Job Title: Data Engineer (2 Positions)</h2>
Experience: 6&ndash;7 Years 
Location: Remote / Hybrid 
Employment Type: Full-Time<h3 class="jobSectionHeader">
Job Summary</h3>
We are seeking talented and experienced Data Engineers with 6&ndash;7 years of hands-on experience in designing, developing, and maintaining large-scale data solutions. The ideal candidates will have a strong background in building robust ETL frameworks, complex data pipelines, and working with big data technologies. This role requires a blend of technical expertise, problem-solving skills, and the ability to work collaboratively with cross-functional teams to deliver reliable and scalable data systems supporting analytics and business intelligence.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design, develop, and maintain scalable ETL/ELT frameworks and complex data pipelines.</li><li>
Build and optimize data processing jobs using big data technologies and modern data frameworks.</li><li>
Ensure data accuracy, consistency, and reliability across multiple data platforms.</li><li>
Collaborate with data scientists, analysts, and business stakeholders to transform business requirements into data-driven technical solutions.</li><li>
Troubleshoot, debug, and optimize existing workflows for performance and scalability.</li><li>
Implement best practices for data governance, version control, and performance monitoring.</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Qualifications</h3><ul><li>
6&ndash;7 years of hands-on experience in data engineering and ETL design.</li><li>
Proficiency in SQL and strong experience with one or more ETL tools such as Talend, Informatica, or dbt.</li><li>
Expertise in big data technologies including Apache Spark, Hadoop, and Kafka.</li><li>
Solid programming skills in Python or Scala.</li><li>
Strong understanding of data modeling, data integration, and data quality management.</li><li>
Experience with cloud data platforms (AWS, Azure, or GCP) is a strong plus.</li><li>
Excellent problem-solving, analytical, and communication skills.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience working in agile data environments.</li><li>
Exposure to data warehousing or data lake architectures.</li><li>
Familiarity with DevOps practices and CI/CD for data pipelines.</li></ul>
lhr1NSVLnW</div>

Data Engineer

Cloudelligent

<div>Position Title: Sr. AWS Data Engineer 
Job Timings: 8:00 AM &ndash; 5:00 PM CST (6:00 PM- 3:00 AM PKT) 
Location: Islamabad 
 
About Cloudelligent 
 
Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to Startups &amp; SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed. 
 
Job Objective 
 
We are seeking an experienced Sr. Data Engineer with a strong background in data engineering, database optimization, and cloud-based data solutions, particularly on AWS. The ideal candidate will have hands-on experience with both SQL and NoSQL databases and be proficient in migrating, managing, and modernizing data platforms. You should be skilled in designing and maintaining scalable, secure, and high-performance data infrastructure in the cloud. 
 
Responsibilities<ul><li>
Design, implement, and manage cloud-based data infrastructure using Amazon RDS, Aurora, and EC2-hosted databases.</li><li>
Administer and optimize PostgreSQL, MySQL, and Oracle databases, ensuring high availability, performance, and cost-efficiency.</li><li>
Perform data migrations and transformations using AWS Database Migration Service (DMS) and other tools.</li><li>
Collaborate with data architects, engineers, and DevOps teams to deliver reliable and scalable data solutions.</li><li>
Support developers by analyzing and optimizing SQL queries and data workflows for performance and efficiency.</li><li>
Monitor and troubleshoot data issues, ensuring availability, security, and compliance.</li><li>
Implement data automation, infrastructure as code (IaC), and CI/CD pipelines for database and data pipeline deployments.</li><li>
Ensure data security, encryption, and compliance with industry best practices and internal policies.</li><li>
Maintain comprehensive documentation on data architecture, processes, and procedures.</li><li>
Stay up to date with emerging AWS features, data engineering tools, and industry best practices.</li></ul> 

Requirements<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or a related field.</li><li>
5+ years of experience in data engineering or database engineering, including hands-on experience with databases on AWS.</li><li>
Strong experience with AWS data services such as RDS, Aurora, and DMS.</li><li>
Proficient in performance tuning, indexing strategies, partitioning, and query optimization.</li><li>
Strong scripting and automation experience using Python, Bash, or similar tools.</li><li>
Experience with infrastructure as code tools like Terraform or CloudFormation.</li><li>
Solid understanding of backup strategies, monitoring tools, and security best practices.</li><li>
Familiarity with multi-account AWS environments and cross-region replication.</li><li>
Excellent communication and problem-solving skills.</li></ul> 

Highly Desirable<ul><li>
AWS Certification (e.g., AWS Certified Data Engineer &ndash; Associate, AWS Certified Solutions Architect &ndash; Associate).</li><li>
Experience with large-scale on-prem to AWS data migrations.</li><li>
Familiarity with data governance, compliance, and auditing tools.</li><li>
Exposure to data lake architecture and AWS services like Glue, Athena, or Kinesis is a plus.</li></ul>
TvhPiCaQjI</div>

Sr. AWS Data Engineer

Kodifly

<div>
 
 About Kodifly:
 
 
 
 Kodifly is an AI-first spatial intelligence company transforming infrastructure monitoring and management. Headquartered in Hong Kong Science Park, with an expanded presence in Pakistan and ongoing expansion into the Kingdom of Saudi Arabia, we are backed by HKAI Lab and the Nvidia Inception program. Our expertise spans 3D point cloud processing, digital twin creation, and LiDAR technology. We develop intelligent infrastructure solutions that enable cities and enterprises to operate with greater efficiency and insight. By integrating AI-powered analytics, digital twins, and real-time spatial intelligence, we help our partners streamline asset inspections, elevate quality assurance, and enhance safety throughout the entire infrastructure lifecycle.
 
 
 
 Job Description:
 
 
 
 We are looking for a Computer Vision &amp; Robotics Engineer with a focus on 3D and Spatial data processing to join our dynamic team in Islamabad, Pakistan. Your role will be pivotal in developing solutions for SLAM (Simultaneous Localization and Mapping), point cloud registration, camera-LiDAR calibration, and developing deep learning techniques to images, 3D &amp; spatial Data.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design and implement algorithms for 3D point cloud processing, object recognition, and segmentation.
 </li>
 <li>
 Enhance and optimize SLAM algorithms for real-time application in mobile and static environments.
 </li>
 <li>
 Integrate and optimize AI technologies such as Open3D and 2D+3D inference models into our existing systems for improved 2D &amp; 3D data analysis and visualization.
 </li>
 <li>
 Collaborate with cross-functional teams in Pakistan and Hong Kong to integrate new features into SpatialSense.
 </li>
 <li>
 Conduct R&amp;D to explore new techniques in computer vision and machine learning that can improve infrastructure monitoring.
 </li>
 <li>
 Ensure the robustness and accuracy of our computer vision applications under various operational conditions
 </li>
 <li>
 Design and develop computer vision algorithms and models for various applications, including object detection, image classification, segmentation, and tracking.
 </li>
 <li>
 Optimize computer vision algorithms and models to leverage the power of NVIDIA hardware, such as GPUs and specialized accelerators (e.g., NVIDIA Tensor Cores).
 </li>
 <li>
 Collaborate with hardware engineers and architects to explore and utilize the latest features and capabilities of NVIDIA hardware platforms.
 </li>
 <li>
 Conduct performance profiling and benchmarking of computer vision algorithms on NVIDIA hardware to identify bottlenecks and optimize resource utilization.
 </li>
 <li>
 Implement and integrate computer vision algorithms into end-to-end systems, ensuring scalability, robustness, and real-time performance on NVIDIA hardware.
 </li>
 <li>
 Collaborate with researchers and academic partners to explore and evaluate state-of-the-art computer vision techniques and their application on NVIDIA hardware.
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 1+ years of experience
 </li>
 <li>
 Bachelors, Masters or Ph.D. in Computer Science, Engineering, or related field with a specialization in computer vision.
 </li>
 <li>
 Strong background in 3D point cloud data processing, including experience with SLAM, point cloud registration, and camera-LiDAR calibration.
 </li>
 <li>
 Proficiency in applying deep learning methods to point cloud data.
 </li>
 <li>
 Strong expertise in deep learning frameworks, such as TensorFlow or PyTorch, and proficiency in programming languages like Python and C++.
 </li>
 <li>
 Extensive experience in optimizing computer vision algorithms for NVIDIA hardware, including GPUs and specialized accelerators (e.g., NVIDIA Tensor Cores).
 </li>
 <li>
 In-depth understanding of computer vision concepts, including image processing, feature extraction, object detection, and segmentation.
 </li>
 <li>
 Hands-on experience with NVIDIA CUDA and cuDNN libraries, as well as frameworks like TensorRT for efficient deployment on NVIDIA hardware.
 </li>
 <li>
 Knowledge of parallel computing principles and GPU programming techniques is a plus.
 </li>
 <li>
 Familiarity with computer vision libraries and tools, such as OpenCV, Dlib, or PCL.
 </li>
 <li>
 Strong problem-solving and analytical skills, with the ability to optimize algorithms for performance and accuracy on NVIDIA hardware.
 </li>
 <li>
 Experience with ROS software and methodologies.
 </li>
 <li>
 Proficient in programming languages such as C++, Python, or similar.
 </li>
 <li>
 Knowledge of machine learning and deep learning frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Excellent analytical, problem-solving, and communication skills.
 </li>
 <li>
 Team-oriented with an ability to work in a collaborative environment.
 
 
 </li>
 </ul>
 
 We Offer:
 
 
 
 <ul>
 <li>
 Opportunity to work with state-of-the-art technology in a rapidly evolving field.
 </li>
 <li>
 A collaborative environment where innovation is encouraged and rewarded.
 </li>
 <li>
 Competitive salary and share options.
 </li>
 <li>
 Fast track internal growth &amp; promotions for top candidates.
 
 
 </li>
 </ul>
 
 Join Us at Kodifly:
 
 If you&rsquo;re ready to apply your computer vision skills to tackle real-world challenges and drive technological advancement, Kodifly is looking for you. Apply now and begin your journey at the cutting edge of infrastructure technology! 🚀
 
 
</div>

Computer Vision & Robotics Engineer

Information Tech Consultants

<div>
 
 🌟 Senior Data Scientist SME /
 
 Data Science SME (Subject matter expert)
 
 🧠
 
 
 
 
 
 
 Location : London (Relocation required - Sponsorship will be provided)
 
 
 
 
 Experience : 9-12 years
 
 
 
 
 CTC- 40-45 lacs
 
 
 
 
 
 
 We are seeking a highly accomplished and results-oriented
 
 Senior Data Scientist Subject Matter Expert (SME)
 
 with over
 
 10 years of experience
 
 to lead our advanced analytics and AI initiatives. This is a pivotal role requiring deep technical mastery across large-scale Big Data technologies, multi-cloud environments, and cutting-edge specialized AI domains, including
 
 Generative AI, Computer Vision, and Natural Language Processing (NLP)
 
 .
 
 
 You will be the principal technical leader, driving strategy, setting standards, and delivering high-impact solutions that transform business outcomes.
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 
 AI/ML Strategy &amp; Architecture:
 
 Define the technical roadmap and architectural standards for deploying and scaling complex AI systems, particularly those involving
 
 Generative AI (GenAI)
 
 , large language models (
 
 LLMs
 
 ), and specialized models in Computer Vision and NLP.
 </li>
 <li>
 
 Big Data Engineering:
 
 Design, build, and optimize high-throughput, distributed data pipelines and features using
 
 Apache Spark (Scala)
 
 and
 
 Hive
 
 on massive datasets to support model training and inference.
 </li>
 <li>
 
 Cross-Cloud Execution:
 
 Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (
 
 AWS, Azure, and GCP
 
 ), ensuring portability, scalability, and cost efficiency.
 </li>
 <li>
 
 Specialized Model Development:
 
 Lead hands-on development, fine-tuning, and deployment of production-grade models in key specialized areas:
 </li>
 <li>
 
 Computer Vision:
 
 Developing and optimizing models for image recognition, object detection, and video analytics.
 </li>
 <li>
 
 NLP:
 
 Building sophisticated systems for sentiment analysis, entity extraction, semantic search, and RAG architectures leveraging LLMs.
 </li>
 <li>
 
 Generative AI:
 
 Exploring and implementing cutting-edge GenAI techniques for content creation, data augmentation, and innovative product features.
 </li>
 <li>
 
 SME Consulting &amp; Mentorship:
 
 Act as the internal authority and consultant, providing technical guidance, architectural review, and mentorship to junior data scientists and engineering teams.
 </li>
 <li>
 
 MLOps &amp; Governance:
 
 Establish best practices for MLOps, model monitoring, version control, and model risk governance in a multi-cloud production environment.
 </li>
 </ul>
 
 
 
 
 Required Skills and Expertise (10+ Years)
 
 
 
 
 
 
 
 
 1. Big Data and Cloud Mastery
 
 
 
 
 <ul>
 <li>
 
 Programming &amp; Big Data:
 
 10+ years of extensive, hands-on experience with
 
 Apache Spark
 
 , with strong preference for production development using
 
 Scala
 
 . Deep expertise with
 
 Apache Hive
 
 for data querying and management.
 </li>
 <li>
 
 Cloud Proficiency:
 
 Demonstrated expertise in deploying and managing data/ML workloads across
 
 at least two
 
 of the three major cloud platforms:
 
 AWS
 
 (Sagemaker, EMR, S3),
 
 Azure
 
 (Azure ML, Synapse Analytics), and
 
 GCP
 
 (Vertex AI, BigQuery).
 </li>
 <li>
 
 Data Architecture:
 
 Expert knowledge of distributed systems, data partitioning, optimization techniques, and data warehousing concepts in a cloud-native context.
 </li>
 </ul>
 
 
 
 
 2. Advanced AI/ML Specialization
 
 
 
 
 <ul>
 <li>
 
 Generative AI (GenAI) &amp; LLMs:
 
 Proven experience with the architecture and implementation of Generative AI solutions, including prompt engineering, fine-tuning, and deploying
 
 Large Language Models (LLMs)
 
 .
 </li>
 <li>
 
 Computer Vision:
 
 In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO).
 </li>
 <li>
 
 NLP:
 
 Expert practical experience in NLP techniques, including transformer models, embedding generation, and building complex text-based applications.
 </li>
 </ul>
 
 
 
 
 3. Leadership &amp; Soft Skills
 
 
 
 
 <ul>
 <li>
 
 Technical Leadership:
 
 Proven track record of leading complex data science projects from research to production deployment.
 </li>
 <li>
 
 Communication:
 
 Exceptional ability to translate complex technical findings into clear, strategic recommendations for technical and executive audiences.
 </li>
 <li>
 
 Mentorship:
 
 Experience mentoring and training senior engineers and data scientists.
 </li>
 </ul>
 
 
 
 
 Education and Certification
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. in Computer Science, Data Science, Engineering, or a highly quantitative field.
 </li>
 <li>
 Relevant professional cloud certifications (e.g., AWS Certified Machine Learning Specialty, Google Cloud Professional Data Engineer) are highly desirable.
 </li>
 </ul>
 
 
</div>

Senior Data Scientist SME & AI

<div>About Kodifly: 
Kodifly is an AI-first spatial intelligence company transforming infrastructure monitoring and management. Headquartered in Hong Kong Science Park, with an expanded presence in Pakistan and ongoing expansion into the Kingdom of Saudi Arabia, we are backed by HKAI Lab and the Nvidia Inception program. Our expertise spans 3D point cloud processing, digital twin creation, and LiDAR technology. We develop intelligent infrastructure solutions that enable cities and enterprises to operate with greater efficiency and insight. By integrating AI-powered analytics, digital twins, and real-time spatial intelligence, we help our partners streamline asset inspections, elevate quality assurance, and enhance safety throughout the entire infrastructure lifecycle. 
 
Job Description: 
We are looking for a Computer Vision &amp; Robotics Engineer with a focus on 3D and Spatial data processing to join our dynamic team in Islamabad, Pakistan. Your role will be pivotal in developing solutions for SLAM (Simultaneous Localization and Mapping), point cloud registration, camera-LiDAR calibration, and developing deep learning techniques to images, 3D &amp; spatial Data. 
 
Key Responsibilities:<ul><li>
Design and implement algorithms for 3D point cloud processing, object recognition, and segmentation.</li><li>
Enhance and optimize SLAM algorithms for real-time application in mobile and static environments.</li><li>
Integrate and optimize AI technologies such as Open3D and 2D+3D inference models into our existing systems for improved 2D &amp; 3D data analysis and visualization.</li><li>
Collaborate with cross-functional teams in Pakistan and Hong Kong to integrate new features into SpatialSense.</li><li>
Conduct R&amp;D to explore new techniques in computer vision and machine learning that can improve infrastructure monitoring.</li><li>
Ensure the robustness and accuracy of our computer vision applications under various operational conditions</li><li>
Design and develop computer vision algorithms and models for various applications, including object detection, image classification, segmentation, and tracking.</li><li>
Optimize computer vision algorithms and models to leverage the power of NVIDIA hardware, such as GPUs and specialized accelerators (e.g., NVIDIA Tensor Cores).</li><li>
Collaborate with hardware engineers and architects to explore and utilize the latest features and capabilities of NVIDIA hardware platforms.</li><li>
Conduct performance profiling and benchmarking of computer vision algorithms on NVIDIA hardware to identify bottlenecks and optimize resource utilization.</li><li>
Implement and integrate computer vision algorithms into end-to-end systems, ensuring scalability, robustness, and real-time performance on NVIDIA hardware.</li><li>
Collaborate with researchers and academic partners to explore and evaluate state-of-the-art computer vision techniques and their application on NVIDIA hardware.</li></ul>
Qualifications:<ul><li>
1+ years of experience
</li><li>Bachelors, Masters or Ph.D. in Computer Science, Engineering, or related field with a specialization in computer vision.</li><li>
Strong background in 3D point cloud data processing, including experience with SLAM, point cloud registration, and camera-LiDAR calibration.</li><li>
Proficiency in applying deep learning methods to point cloud data.</li><li>
Strong expertise in deep learning frameworks, such as TensorFlow or PyTorch, and proficiency in programming languages like Python and C++.</li><li>
Extensive experience in optimizing computer vision algorithms for NVIDIA hardware, including GPUs and specialized accelerators (e.g., NVIDIA Tensor Cores).</li><li>
In-depth understanding of computer vision concepts, including image processing, feature extraction, object detection, and segmentation.</li><li>
Hands-on experience with NVIDIA CUDA and cuDNN libraries, as well as frameworks like TensorRT for efficient deployment on NVIDIA hardware.</li><li>
Knowledge of parallel computing principles and GPU programming techniques is a plus.</li><li>
Familiarity with computer vision libraries and tools, such as OpenCV, Dlib, or PCL.</li><li>
Strong problem-solving and analytical skills, with the ability to optimize algorithms for performance and accuracy on NVIDIA hardware.</li><li>
Experience with ROS software and methodologies.</li><li>
Proficient in programming languages such as C++, Python, or similar.</li><li>
Knowledge of machine learning and deep learning frameworks like TensorFlow or PyTorch.</li><li>
Excellent analytical, problem-solving, and communication skills.</li><li>
Team-oriented with an ability to work in a collaborative environment.</li></ul> 
We Offer:<ul><li>
Opportunity to work with state-of-the-art technology in a rapidly evolving field.</li><li>
A collaborative environment where innovation is encouraged and rewarded.</li><li>
Competitive salary and share options.</li><li>
Fast track internal growth &amp; promotions for top candidates.</li></ul> 
Join Us at Kodifly: If you&rsquo;re ready to apply your computer vision skills to tackle real-world challenges and drive technological advancement, Kodifly is looking for you. Apply now and begin your journey at the cutting edge of infrastructure technology!</div>

Confiz

<div>
 We are seeking an experienced Scrum Master to facilitate Agile practices within our Big Data engineering teams. The ideal candidate will have a strong understanding of Agile principles, experience working with large-scale data platforms, and the ability to foster collaboration across cross-functional teams.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Guide the team in Scrum practices, ensuring adherence to Agile principles and continuous improvement.
 </li>
 <li>
 Organize and facilitate daily stand-ups, sprint planning, backlog refinement, reviews, and retrospectives.
 </li>
 <li>
 Act as a liaison between Product Owners, Data Engineers, Data Scientists, and other stakeholders.
 </li>
 <li>
 Identify and resolve blockers to maintain team productivity.
 </li>
 <li>
 Track and report key Agile metrics (velocity, burndown charts) to stakeholders.
 </li>
 <li>
 Mentor team members and stakeholders on Agile best practices.
 </li>
 <li>
 Understand data pipelines, ETL processes, and distributed systems to effectively support technical discussions.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 Certified Scrum Master (CSM) or equivalent.
 </li>
 <li>
 Overall 8+ years of experience:
 </li>
 <li>
 5+ years as Scrum Master in Agile environments.
 </li>
 <li>
 Must have 3+ years of experience of managing Big Data engineering teams.
 </li>
 <li>
 Familiarity with data engineering concepts, technologies (Data Lake, Apache Spark, Apache Kafka), cloud platforms (AWS, Azure, GCP), and CI/CD pipelines.
 </li>
 <li>
 Excellent communication, facilitation, and conflict resolution skills.
 </li>
 <li>
 Experience with Scaled Agile Framework (SAFe).
 </li>
 <li>
 Knowledge of Data Quality, and Analytics.
 </li>
 <li>
 Experience working in Telecommunications sector.
 
 
 </li>
 </ul>
 What makes Confiz stand out is our focus on processes and culture. Confiz is
 
 ISO 9001:2015
 
 (QMS),
 
 ISO 27001:2022
 
 (ISMS),
 
 ISO 20000-1:2018
 
 (ITSM),
 
 ISO 14001:2015
 
 (EMS),
 
 ISO 45001:2018
 
 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
 
 
 People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
 
 
 To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/
</div>

Scrum Master - Big Data

<div><h2 class="jobSectionHeader">Job Title: AI Data Scientist (Offshore)</h2>
Duration: 6 Months (Extendable) 
Experience: 6&ndash;8 Years 
Location: Offshore (Remote) 
Industry: Multi-Industry (with focus on Financial Sector) 
Employment Type: Contract (6 Months - Higher possiblity for extension)<h3 class="jobSectionHeader">
Job Summary</h3>
We are seeking a highly skilled AI Data Scientist with hands-on experience in building and deploying advanced data science and machine learning models, particularly within the financial services domain. The ideal candidate will have strong proficiency in Python, SQL, and Google Cloud Platform (GCP) tools &mdash; leveraging platforms like BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub, GCS, and Looker to deliver scalable and automated AI solutions.
This is an exciting 6-month contract role (with potential extension) focused on developing descriptive, predictive, and prescriptive models and deploying them in production using MLOps best practices.<h3 class="jobSectionHeader"> 
Key Responsibilities</h3><ul><li>
Design and develop data science and machine learning models across descriptive, predictive, and prescriptive analytics.</li><li>
Work closely with business stakeholders&mdash;especially in the financial sector&mdash;to translate complex problems into AI-driven solutions.</li><li>
Develop and automate end-to-end ML pipelines on GCP using Vertex AI, Dataflow, Pub/Sub, and Dataproc.</li><li>
Implement MLOps frameworks for continuous integration, deployment, and monitoring of machine learning models.</li><li>
Analyze large datasets using BigQuery and other GCP-native tools for data transformation, feature engineering, and model training.</li><li>
Visualize insights and performance metrics using Looker and other BI tools.</li><li>
Collaborate with data engineers, analysts, and cloud architects to ensure seamless model deployment and scalability.</li><li>
Evaluate model performance and refine algorithms for improved accuracy and business impact.</li></ul><h3 class="jobSectionHeader"> 
Required Skills &amp; Qualifications</h3><ul><li>
5&ndash;8 years of professional experience in data science, AI/ML, and analytics roles.</li><li>
Proven expertise in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) and SQL for data analysis and model development.</li><li>
Hands-on experience with GCP ecosystem, including:<ul><li>
BigQuery (data querying and transformation)</li><li>
Vertex AI (model training, tuning, deployment)</li><li>
Dataflow / Dataproc (data processing pipelines)</li><li>
Pub/Sub (event-driven data streaming)</li><li>
GCS (Google Cloud Storage) and Looker (visualization and reporting)</li></ul></li><li>
Strong knowledge of MLOps automation and continuous deployment best practices.</li><li>
Experience developing models in financial services (risk scoring, fraud detection, customer analytics, forecasting, etc.).</li><li>
Strong understanding of statistical modeling, feature engineering, and model performance evaluation.</li><li>
Excellent problem-solving and communication skills with ability to work in multi-industry environments.</li></ul><h3 class="jobSectionHeader"> 
Preferred Qualifications</h3><ul><li>
Experience in multi-cloud or hybrid environments.</li><li>
Knowledge of CI/CD pipelines for ML (GitHub Actions, Jenkins, or Cloud Build).</li><li>
Exposure to deep learning frameworks (TensorFlow, PyTorch).</li><li>
Experience in time-series forecasting, credit modeling, or financial risk analytics.</li></ul>
olqQlu28No</div>

AI Data Scientist

Explore 409+ Data engineer in Islamabad Pakistan this January. Find roles across top companies and apply now to boost your career.

409 data engineer jobs IN Islamabad Pakistan

Data Engineer

Sr. AWS Data Engineer

Computer Vision & Robotics Engineer

Senior Data Scientist SME & AI

Computer Vision & Robotics Engineer

Scrum Master - Big Data

AI Data Scientist