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Edge

<div>
 
 
 At Edge
 
 
 
 We&rsquo;re on a mission to eliminate geographic borders as barriers to full-time employment and fair wages. We&rsquo;re creating a global HR platform ecosystem that seamlessly connects exceptional talent worldwide with North American businesses. By making global hiring easier than local hiring, we provide businesses access to a broader talent pool and accelerate their hiring process. Spread across four continents, we&rsquo;re a global team disrupting how people work together.
 
 
 
 
 
 
 Role Overview
 
 
 
 We are looking for a skilled
 
 Data Engineer
 
 to join our team. The ideal candidate will have strong expertise in designing, building, and maintaining scalable data pipelines and warehouses, ensuring data accuracy, quality, and accessibility across the organization.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and maintain
 
 ETL/ELT pipelines
 
 for efficient data processing.
 </li>
 <li>
 Build and optimize
 
 data models and warehouses
 
 to support analytics and reporting.
 </li>
 <li>
 Implement
 
 data governance and quality frameworks
 
 to ensure reliable insights.
 </li>
 <li>
 Integrate data from various sources (APIs, databases, third-party systems).
 </li>
 <li>
 Collaborate with cross-functional teams (engineering, product, analytics) to enable data-driven decision-making.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 <ul>
 <li>
 Proven experience in
 
 ETL/ELT pipeline development
 
 .
 </li>
 <li>
 Strong knowledge of
 
 data modeling and data warehousing
 
 .
 </li>
 <li>
 Proficiency in
 
 BigQuery, SQL, and NoSQL databases
 
 .
 </li>
 <li>
 Experience working with
 
 APIs
 
 for data integration.
 </li>
 <li>
 Strong programming skills in
 
 Python
 
 for data engineering tasks and automation.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Experience with
 
 data governance and data quality frameworks
 
 .
 </li>
 <li>
 Familiarity with cloud-based data platforms and modern data stack tools.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 3+ years of experience as a Data Engineer or in a related role.
 </li>
 <li>
 Strong problem-solving and analytical skills.
 </li>
 </ul>
 
 
 
 
 
 Why Join Edge?
 
 
 
 Edge is at a pivotal growth point, offering you the rare opportunity to shape the future of global employment. Your work will directly impact business growth, enable global opportunities, and transform how people work across borders.
 
 
 We&rsquo;re not just offering a job &mdash; we&rsquo;re inviting you to be part of a revolution.
 
 
 Ready to leave a global footprint and change lives? Edge is where your vision becomes reality.
 
 
 
</div>

Data Engineer

A Hamson inc.

<ul><li>Install, configure, and maintain data center hardware (servers, storage, network devices).</li><li>Monitor and manage data center infrastructure for optimal performance.</li><li>Perform routine system checks, troubleshooting, and preventive maintenance.</li><li>Manage data center cabling, racking, and physical infrastructure.</li><li>Ensure data center security (physical and logical access controls).</li><li>Monitor power, cooling, and environmental systems for uptime reliability.</li><li>Support virtualization platforms and cloud integration where applicable.</li><li>Maintain data backups, disaster recovery, and business continuity processes.</li><li>Implement patch management, firmware upgrades, and system updates.</li><li>Maintain inventory of IT assets and spare parts in the data center.</li><li>Coordinate with vendors for hardware/software support and warranties.</li><li>Document processes, incidents, and configurations for compliance.</li><li>Ensure adherence to ITIL standards and data center best practices.</li><li>Provide on-call and shift-based support for 24/7 operations.</li></ul>Job Type: Full-timePay: From Rs120,000.00 per monthWork Location: In person

Data Center Engineer

<ul><li>Assist in the installation, configuration, and maintenance of data center equipment (servers, switches, storage, etc.).</li><li>Monitor data center infrastructure for performance, availability, and security.</li><li>Support routine backup, patching, and system updates under senior supervision.</li><li>Perform basic troubleshooting of hardware, network, and connectivity issues.</li><li>Help in maintaining cooling, power, and cabling standards within the data center.</li><li>Document incidents, system changes, and update equipment inventory records.</li><li>Provide on-site support during system upgrades, migrations, or maintenance activities.</li><li>Escalate complex issues to senior engineers or vendors as required.</li><li>Follow IT policies, procedures, and safety guidelines within the data center.</li><li>Participate in 24/7 shift-based monitoring and support when required.</li></ul>Job Type: Full-timePay: From Rs100,000.00 per monthWork Location: In person

Jr. Data Center Engineer

S&P Global

About the Role: 
Grade Level (for internal use): 10 Team Overview
 Our Data and AI Engineering Team consists of skilled professionals focused on creating innovative and scalable data solutions. We specialise in cloud technologies, especially AWS and Snowflake , and prioritise data security and governance. Collaboration is key , as we work closely with Data Scientists and ML Engineers to advance impactful data projects. We encourage continuous learning and are actively adopting new technologies like Generative AI models and advanced machine learning tools to improve our data platforms and achieve outstanding outcomes.
 Role Impact
 In this role, you will design and implement scalable data architectures aligned with strategic goals, especially those supporting all stages of the Machine Learning (ML) and Generative AI (GenAI) lifecycle . You will apply your expertise in Snowflake, Python, and cloud technologies to maintain strong data security and integrity. Your work will drive innovation by developing, optimising, and maintaining production-level data pipelines that support both analytical and predictive modelling, enhancing data processing efficiency and enabling data-driven decision-making across the organisation.
 
Main Contributions
 Responsibilities: (Dual Emphasis on Data Engineering & Data Science Enablement)
 ML Data Pipeline Development: Create and uphold scalable, reliable, and secure data infrastructure essential for Machine Learning model training, validation, and inference in production settings.
 Feature Store Collaboration: Partner with Data Scientists to design, build, and maintain a centralized Feature Store , ensuring consistency, reusability, and low-latency access to features for model training and deployment.
 GenAI Data Handling: Develop and execute data ingestion and processing workflows for text and unstructured data , including methods for vectorisation and populating vector databases to support Retrieval-Augmented Generation (RAG) architectures .
 Core Data Engineering: Build and maintain robust ELT/ETL processes within Snowflake and AWS to integrate diverse, large-scale data sources, ensuring excellent data governance, quality, and performance for general business intelligence.
 MLOps Partnership: Collaborate closely with ML Engineers to operationalise data flows to and from MLOps platforms (e.g., SageMaker, MLflow) , focusing on automating pipelines and managing data versioning .
 Query and Compute Efficiency: Optimize data storage and computing resources across the platform to speed up data science experiments and model training workloads , while managing costs effectively.
 Data Security and Compliance: Implement advanced security measures to safeguard sensitive data used in AI datasets , maintaining data integrity and confidentiality in line with governance standards.
 Required Skills and Experience
 Essential Skills: (Dual Focus)
 
Data Engineering Expertise (5+ Years): Extensive experience in a core Data Engineering role, including 5+ years working with Snowflake and strong skills in SQL and Python for data manipulation and engineering.
 Data Science Enablement: Demonstrated experience building and optimizing data pipelines specifically for Machine Learning model training and deployment (e.g., feature engineering, time-series data handling, complex schema management).
 Cloud Computing: Solid practical experience with AWS services (S3, Lambda, EC2, ECS) for creating reliable, scalable cloud data solutions.
 Distributed Processing: Familiarity with distributed computing frameworks such as PySpark or Dask for large-scale data transformation.
 Data Security: Strong knowledge of RBAC security models and secure data connection protocols.
 Communication: Excellent communication and teamwork skills, with a proven history of effective collaboration with Data Science and Business teams .
 Preferred Qualifications: (AI/ML Specialization)
 
MLOps / MLOps Platforms: Hands-on experience integrating data systems with MLOps platforms (e.g., MLflow, Amazon SageMaker) for production model deployment.
 Generative AI Data: Experience with vector databases (e.g., Pinecone, ChromaDB) and familiarity with data preparation for LLMs and RAG architectures .
 Feature Store Expertise: Practical or theoretical knowledge of Feature Stores (e.g., Feast, Tecton) and their role in the ML lifecycle.
 Advanced Data Orchestration: Experience with modern orchestrators like Apache Airflow, Prefect, or Dagster for managing complex, data-science-focused workflows.
 Experience with Cortex AI or comparable cloud AI tools.
 Certifications in Snowflake, AWS Data Analytics, or related areas.
 
#LI-USA
 
What’s In It For You?
 
Our Purpose: 
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world.
 
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
 
Our People: 
We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
 
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
 
Our Values: 
Integrity, Discovery, Partnership
 
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
 
Benefits: 
We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.
 
Our benefits include: 
Health & Wellness: Health care coverage designed for the mind and body.
 
Flexible Downtime: Generous time off helps keep you energized for your time on.
 
Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
 
Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
 
Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
 
Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
 For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries
 
Global Hiring and Opportunity at S&P Global: 
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
 
Recruitment Fraud Alert: 
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here .
 
-----------------------------------------------------------
 
Equal Opportunity Employer
 S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
 
If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
 
US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
 
----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)
 
Job ID: 318971
 Posted On: 2025-08-27
 Location: Islamabad, Pakistan

Senior Data Scientist

<div>
 
 About The Role
 
 
 
 
 Grade Level (for internal use):
 
 
 
 10
 
 
 
 Team Overview
 
 
 
 Our Data and AI Engineering Team consists of skilled professionals focused on creating innovative and scalable data solutions. We specialise in cloud technologies, especially
 
 AWS and Snowflake
 
 , and prioritise data security and governance.
 
 Collaboration is key
 
 , as we work closely with
 
 Data Scientists and ML Engineers
 
 to advance impactful data projects. We encourage continuous learning and are actively adopting new technologies like
 
 Generative AI models
 
 and advanced machine learning tools to improve our data platforms and achieve outstanding outcomes.
 
 
 
 Role Impact
 
 
 
 In this role, you will design and implement scalable data architectures aligned with strategic goals, especially those supporting all stages of the
 
 Machine Learning (ML) and Generative AI (GenAI) lifecycle
 
 . You will apply your expertise in Snowflake, Python, and cloud technologies to maintain strong data security and integrity. Your work will
 
 drive innovation by developing, optimising, and maintaining production-level data pipelines
 
 that support both analytical and predictive modelling, enhancing data processing efficiency and enabling
 
 data-driven decision-making
 
 across the organisation.
 
 
 Main Contributions
 
 
 
 Responsibilities: (Dual Emphasis on Data Engineering &amp; Data Science Enablement)
 
 
 
 <ul>
 <li>
 ML Data Pipeline Development: Create and uphold scalable, reliable, and secure data infrastructure essential for Machine Learning model training, validation, and inference in production settings.
 </li>
 <li>
 Feature Store Collaboration: Partner with Data Scientists to design, build, and maintain a centralized Feature Store, ensuring consistency, reusability, and low-latency access to features for model training and deployment.
 </li>
 <li>
 GenAI Data Handling: Develop and execute data ingestion and processing workflows for text and unstructured data, including methods for vectorisation and populating vector databases to support Retrieval-Augmented Generation (RAG) architectures.
 </li>
 <li>
 Core Data Engineering: Build and maintain robust ELT/ETL processes within Snowflake and AWS to integrate diverse, large-scale data sources, ensuring excellent data governance, quality, and performance for general business intelligence.
 </li>
 <li>
 MLOps Partnership: Collaborate closely with ML Engineers to operationalise data flows to and from MLOps platforms (e.g., SageMaker, MLflow), focusing on automating pipelines and managing data versioning.
 </li>
 <li>
 Query and Compute Efficiency: Optimize data storage and computing resources across the platform to speed up data science experiments and model training workloads, while managing costs effectively.
 </li>
 <li>
 Data Security and Compliance: Implement advanced security measures to safeguard sensitive data used in AI datasets, maintaining data integrity and confidentiality in line with governance standards.
 
 
 </li>
 </ul>
 
 Required Skills And Experience
 
 
 
 
 Essential Skills: (Dual Focus)
 
 
 
 <ul>
 <li>
 Data Engineering Expertise (5+ Years): Extensive experience in a core Data Engineering role, including 5+ years working with Snowflake and strong skills in SQL and Python for data manipulation and engineering.
 </li>
 <li>
 Data Science Enablement: Demonstrated experience building and optimizing data pipelines specifically for Machine Learning model training and deployment (e.g., feature engineering, time-series data handling, complex schema management).
 </li>
 <li>
 Cloud Computing: Solid practical experience with AWS services (S3, Lambda, EC2, ECS) for creating reliable, scalable cloud data solutions.
 </li>
 <li>
 Distributed Processing: Familiarity with distributed computing frameworks such as PySpark or Dask for large-scale data transformation.
 </li>
 <li>
 Data Security: Strong knowledge of RBAC security models and secure data connection protocols.
 </li>
 <li>
 Communication: Excellent communication and teamwork skills, with a proven history of effective collaboration with Data Science and Business teams.
 
 
 </li>
 </ul>
 
 Preferred Qualifications: (AI/ML Specialization)
 
 
 
 <ul>
 <li>
 MLOps / MLOps Platforms: Hands-on experience integrating data systems with MLOps platforms (e.g., MLflow, Amazon SageMaker) for production model deployment.
 </li>
 <li>
 Generative AI Data: Experience with vector databases (e.g., Pinecone, ChromaDB) and familiarity with data preparation for LLMs and RAG architectures.
 </li>
 <li>
 Feature Store Expertise: Practical or theoretical knowledge of Feature Stores (e.g., Feast, Tecton) and their role in the ML lifecycle.
 </li>
 <li>
 Advanced Data Orchestration: Experience with modern orchestrators like Apache Airflow, Prefect, or Dagster for managing complex, data-science-focused workflows.
 </li>
 <li>
 Experience with Cortex AI or comparable cloud AI tools.
 </li>
 <li>
 Certifications in Snowflake, AWS Data Analytics, or related areas.
 
 
 </li>
 </ul>
 #
 
 
 
 What&rsquo;s In It For
 
 
 You?
 
 
 
 
 Our Purpose
 
 
 
 Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology&ndash;the right combination can unlock possibility and change the world.
 
 
 Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&amp;P Global we transform data into Essential Intelligence&reg;, pinpointing risks and opening possibilities. We Accelerate Progress.
 
 
 
 Our People
 
 
 
 We're more than 35,000 strong worldwide&mdash;so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
 
 
 From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We&rsquo;re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We&rsquo;re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
 
 
 
 Our Values
 
 
 
 
 Integrity, Discovery, Partnership
 
 
 
 At S&amp;P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of
 
 integrity
 
 in all we do, bring a spirit of
 
 discovery
 
 to our work, and collaborate in close
 
 partnership
 
 with each other and our customers to achieve shared goals.
 
 
 
 Benefits
 
 
 
 We take care of you, so you can take care of business. We care about our people. That&rsquo;s why we provide everything you&mdash;and your career&mdash;need to thrive at S&amp;P Global.
 
 
 
 Our Benefits Include
 
 
 
 <ul>
 <li>
 Health &amp; Wellness: Health care coverage designed for the mind and body.
 </li>
 <li>
 Flexible Downtime: Generous time off helps keep you energized for your time on.
 </li>
 <li>
 Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
 </li>
 <li>
 Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
 </li>
 <li>
 Family Friendly Perks: It&rsquo;s not just about you. S&amp;P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
 </li>
 <li>
 Beyond the Basics: From retail discounts to referral incentive awards&mdash;small perks can make a big difference.
 
 
 </li>
 </ul>
 For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries
 
 
 
 Global Hiring And Opportunity At S&amp;P Global
 
 
 
 At S&amp;P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
 
 
 
 Recruitment Fraud Alert
 
 
 
 If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&amp;P Global never requires any candidate to pay money for job applications, interviews, offer letters, &ldquo;pre-employment training&rdquo; or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.
 
 
 
 Equal Opportunity Employer
 
 
 
 S&amp;P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
 
 
 If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
 
 
 
 US Candidates Only:
 
 The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
 
 
 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority &ndash; Ratings - (Strategic Workforce Planning)
 
 
 
 Job ID:
 
 318971
 
 
 
 Posted On:
 
 2025-08-27
 
 
 
 Location:
 
 Islamabad, Pakistan
 
 
</div>

DataQ Healthcare

Job Overview:Apply principles and techniques of engineering, mathematics, and computer science to the design, development, and testing of software applicationsJob Responsibilities&middot; Works well independently; capable of self-motivating and managing.&middot; Determine business requirements, design, and implement complex data models.&middot; Provide technical guidance to juniors and review their work.&middot; Should have capability to communicate cross teams to resolve dependencies.&middot; Accommodate required payor/source data changes in relevant Wiseman data processing algorithms.&middot; Verify the data loading into Wiseman schema.&middot; Check and resolve bugs highlighted in data update process.&middot; Analyse SQL code and develop/alter stored procedures, triggers, and SQL jobs where appropriate.&middot; Review database design and code written by other database and software engineers and assist in optimization.&middot; Collaborate with the application development team and ensure that overall application design is optimal.&middot; Attend regular stand-up meetings, take direction, follow recommendations.&middot; Follow Monthly Data Update process defined by the organization.&middot; Accurately estimate time required to complete projects and tasks.&middot; Meet mutually agreed upon deadlines for completion of modules throughout the data updates process.&middot; Follow Wiseman coding standards, best practices, and processes&middot; Follow the code review process and participate in peer views&middot; Attend daily huddle and manage DevOps only daily basis&middot; During and after your employment you will be responsible for protection and uses of &ldquo;Personal Data&rdquo;, &ldquo;Customer Personal Data&rdquo; &ldquo;Business Contact Data&rdquo;, &ldquo;Privacy Laws&rdquo; &ldquo;Intercompany Agreement&rdquo; &quot;ISMS&quot;, &quot;HIPAA&quot; and any other information relevant to you during terms of employment.&middot;Professional Qualities/SkillsTechnical Skills:&middot; Understanding of the software development lifecycle&middot; High expertise in MS SQL SERVER (2014 or above).&middot; Ability to understand technical issues at a high level.&middot; Working in Agile environments, highly desirable.&middot; Strong knowledge of payor/insurance source data (including Wiseman data processing algorithms)&middot; Adequate knowledge of 360 suiteSoft Skills:&middot; Learning aptitude with high attention to detail.&middot; Multi-tasking in a fast-paced environment.&middot; Good verbal and written communication skills.&middot; Strong analytical and problem-solving skills.&middot; Ability to drive projects from start to finish with minimal supervision.&middot; Able to deliver under tight and short deadlines.Job Type: Full-timeWork Location: In person

Database Developer

Fusemachines

<div>
 
 About Fusemachines
 
 
 
 Fusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world.
 
 
 
 About the Role:
 
 
 
 
 Location:
 
 Remote | Contractual Full-time
 
 
 We are seeking a Data Scientist with hands-on Python experience and proven abilities to support software activities in an Agile software development lifecycle. We are seeking a well-rounded developer to lead a cloud-based big data application using a variety of technologies. The ideal candidate will possess strong technical, analytical, and interpersonal skills. In addition, the candidate will lead developers on the team to achieve architecture and design objectives as agreed with stakeholders.
 
 
 
 Role Description
 
 
 
 <ul>
 <li>
 Work with developers on the team to meet product deliverables
 </li>
 <li>
 Work independently and collaboratively on a multi-disciplined project team in an Agile development environment
 </li>
 <li>
 Contribute detailed design and architectural discussions as well as customer requirements sessions to support the implementation of code and procedures for our big data product
 </li>
 <li>
 Design and develop clear and maintainable code with automated open-source test functions
 </li>
 <li>
 Ability to identify areas of code/design optimization and implementation
 </li>
 <li>
 Learn and integrate with a variety of systems, APIs, and platforms
 </li>
 <li>
 Interact with a multi-disciplined team to clarify, analyze, and assess requirements
 </li>
 <li>
 Be actively involved in design, development, and testing activities in big data applications
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 
 Data Engineering &amp; Processing:
 
 
 
 <ul>
 <li>
 Develop scalable data pipelines using PySpark for processing large datasets
 </li>
 <li>
 Work extensively in Databricks for collaborative data science workflows and model deployment
 </li>
 <li>
 Handle messy, unstructured, and semi-structured data, performing thorough Exploratory Data Analysis (EDA)
 </li>
 <li>
 Apply appropriate statistical measures and hypothesis testing to derive insights and validate assumptions
 
 
 </li>
 </ul>
 
 Data Analysis &amp; Modeling:
 
 
 
 <ul>
 <li>
 Write complex SQL queries for data extraction, transformation, and analysis
 </li>
 <li>
 Build and validate predictive models using techniques such as: Gradient Boosting Machines (GBMs) (e.g., XGBoost, LightGBM), Generalized Linear Models (GLMs) (e.g., logistic regression, Poisson regression)
 </li>
 <li>
 Apply unsupervised learning techniques like clustering (K-Means, DBSCAN), PCA, and anomaly detection
 
 
 </li>
 </ul>
 
 Automation &amp; Optimization:
 
 
 
 <ul>
 <li>
 Automate data workflows and model training pipelines using scheduling tools (e.g., Airflow, Databricks Jobs)
 </li>
 <li>
 Optimize model performance and data processing efficiency
 
 
 </li>
 </ul>
 
 Cloud &amp; Deployment:
 
 
 
 <ul>
 <li>
 Basic experience with Azure or other cloud platforms (AWS, GCP) for data storage, compute, and model deployment
 </li>
 <li>
 Familiarity with cloud-native tools like Azure Data Lake, Azure ML, or equivalent
 
 
 </li>
 </ul>
 
 Required Skills:
 
 
 
 <ul>
 <li>
 Programming Languages: Python (with PySpark), SQL
 </li>
 <li>
 Tools &amp; Platforms: Databricks, Azure (or other cloud platforms), Git
 </li>
 <li>
 Libraries &amp; Frameworks: scikit-learn, pandas, numpy, matplotlib/seaborn, XGBoost/LightGBM
 </li>
 <li>
 Statistical Knowledge: Hypothesis testing, confidence intervals, correlation analysis
 </li>
 <li>
 Machine Learning: Supervised and Unsupervised learning, model evaluation metrics
 </li>
 <li>
 Data Handling: EDA, feature engineering, dealing with missing/outlier data
 </li>
 <li>
 Automation: Experience with job scheduling and pipeline automation
 
 
 </li>
 </ul>
 
 Required Experience:
 
 
 
 <ul>
 <li>
 Minimum 5+ years in Data Science or related fields
 </li>
 <li>
 Hands on experience with Databricks
 </li>
 <li>
 Experience with data cleansing, transformation, and validation
 </li>
 <li>
 Proven technical leadership on prior development projects
 </li>
 <li>
 Hands-on experience with versioning tools such as GitHub, Azure Devops, Bitbucket, etc
 </li>
 <li>
 Hands-on experience building pipelines in GitHub (or Azure Devops, etc.)
 </li>
 <li>
 Hands-on experience using Relational Databases, such as Oracle, SQL Server, MySQL, Postgres or similar
 </li>
 <li>
 Experience using Markdown to document code in repositories or automated documentation tools like PyDoc
 </li>
 <li>
 Strong written and verbal communication skills
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience with data visualization tools such as Power BI or Tableau
 </li>
 <li>
 Experience with MLOps, DEVOPS CI/CD tools and automation processes (e.g., Azure DevOPS, GitHub, BitBucket)
 </li>
 <li>
 Containers and their environments (Docker, Podman, Docker-Compose, Kubernetes, Minikube, Kind, etc.)
 </li>
 <li>
 Experience working in cross-functional teams and communicating insights to stakeholders
 
 
 </li>
 </ul>
 
 Education
 
 
 
 Master of Science/B. Tech degree from an accredited university
 
 
 
 Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.
 
 
 
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Data Scientist

Explore 325+ Data engineer in Islamabad this September. Find roles across top companies and apply now to boost your career.

325 data engineer jobs IN Islamabad

Data Engineer

Data Center Engineer

Jr. Data Center Engineer

Senior Data Scientist

Senior Data Scientist

Database Developer

Data Scientist