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ImagineArt

<div>
 
 
 Principal AI Engineer (LLM Agents &amp; Orchestration)
 
 
 
 
 
 Role Title:
 
 Principal AI Engineer (LLM Agents &amp; Orchestration)
 
 Team:
 
 Chatly Engineering
 
 Focus:
 
 Building Autonomous "Super Agents"
 
 
 
 Who We Are
 
 
 
 Vyro is redefining the future of digital creativity. We build cutting-edge content creation tools powered by Artificial Intelligence and Machine Learning, helping millions of creators, designers, and storytellers bring their imagination to life &mdash; effortlessly.
 
 
 With a global user base of over 5 million active creators every month, Vyro&rsquo;s 20+ AI-powered apps are transforming how people design, edit, and express themselves across images, videos, and beyond.
 
 
 From intuitive AI photo editors to next-gen video creation platforms, our products are designed to make creativity accessible, fast, and limitless.
 
 
 At Vyro, we&rsquo;re a team of innovators, builders, and dreamers &mdash; known as Vyronauts &mdash; driven by passion, purpose, and the belief that technology should inspire creativity, not complicate it.
 
 
 If you&rsquo;re excited about shaping the next wave of AI-powered creativity, Vyro is the place to be.
 
 
 
 About The Role
 
 
 
 We are looking for a deep expert in Large Language Models (LLMs) to lead the architectural development of our new "Super Agent" within Chatly. You will move beyond simple chat interfaces to build autonomous agents capable of complex reasoning, tool usage, and seamless integration with external workflows.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Agent Architecture: Design and implement stateful agentic workflows (using frameworks like LangGraph or custom Python/TypeScript solutions) that can plan, execute, and self-correct.
 </li>
 <li>
 Integration Ecosystem: Build the "hands" of the agent. Develop robust integration layers that allow the LLM to interact with our internal APIs, databases, and third-party tools reliably.
 </li>
 <li>
 Latency &amp; Reliability: Optimize inference pipelines for speed (streaming, token optimization) and reliability (handling hallucinations, structured output validation).
 </li>
 <li>
 Memory Systems: Architect advanced RAG (Retrieval-Augmented Generation) systems to give the Super Agent persistent memory and context awareness across sessions.
 </li>
 <li>
 Evaluation &amp; Observability: Establish a rigorous testing framework for non-deterministic model outputs to ensure the agent behaves as expected in production.
 
 
 </li>
 </ul>
 
 Technical Requirements
 
 
 
 <ul>
 <li>
 Core Stack: Deep proficiency in Python (or TypeScript) and the modern AI stack (LangChain, LlamaIndex, DSPy).
 </li>
 <li>
 Model Internals: Strong grasp of how to leverage specific model strengths (e.g., GPT-4o for reasoning, Haiku/Flash for speed) and experience with Function Calling/Tool Use.
 </li>
 <li>
 Vector Search: Hands-on experience with vector databases (Pinecone, Milvus, Weaviate) and embedding strategies.
 </li>
 <li>
 System Design: Experience designing event-driven architectures where agents respond to triggers, not just user prompts.
 
 
 </li>
 </ul>
 
 Why Join Us?
 
 
 
 <ul>
 <li>
 Opportunity to work on innovative AI products like Chatly and Imagine, shaping the future of creativity and user interaction.
 </li>
 <li>
 Be part of a passionate, fast-moving team that values innovation and data-driven decisions.
 </li>
 <li>
 Competitive compensation and benefits.
 </li>
 <li>
 A culture where learning, growth, and experimenting with new ideas are deeply encouraged.
 </li>
 </ul>
</div>

Agentic AI Engineer

Fusemachines

<div>
 
 About Fusemachines
 
 
 
 Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic) and more than 450 full-time employees, Fusemachines brings global AI expertise to transform companies worldwide. Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients&rsquo; AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.
 
 
 Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.
 
 
 
 Type: Remote, Full-time
 
 
 
 Role Overview
 
 
 As an Applied AI Engineer(Automation), you will deliver high-impact AI and automation solutions for clients&mdash;owning work from requirements discovery through prototype and production deployment. You&rsquo;ll build reliable, maintainable systems that integrate LLMs into real business workflows via APIs, automation platforms, and backend services.
 
 
 This is a mid-to-senior individual contributor role. You&rsquo;ll collaborate closely with Solutions Architects, Delivery/Engagement leads, and Product Managers to scope, build, ship, and iterate on client solutions.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design &amp; Deploy: Design, develop, and deploy tailored AI and automation solutions aligned to client objectives
 </li>
 <li>
 Build Workflows &amp; Services: Translate business problems into production-grade AI workflows and services using Python, automation tools (n8n/Make/Zapier or similar), and LLM platforms/APIs (e.g., OpenAI, IBM watsonx.ai, Amazon Bedrock), plus retrieval systems
 </li>
 <li>
 Agentic Systems: Build and deploy agentic workflows using LangChain, LangGraph, and Google ADK, including tool calling and structured outputs
 </li>
 <li>
 Retrieval &amp; Knowledge Systems: Implement RAG pipelines using vector databases and search technologies (e.g., Pinecone, Elasticsearch, pgvector) and graph databases when appropriate
 </li>
 <li>
 Prototype &rarr; Production: Ship fast prototypes, then harden them into scalable systems (testing, reliability, deployment, monitoring) independently or with a team
 </li>
 <li>
 Client Partnership: Participate in discovery, run technical calls/demos when needed, and communicate tradeoffs clearly to client and internal stakeholders
 </li>
 <li>
 Ongoing Support &amp; Iteration: Improve deployed solutions through feature work, bug fixes, monitoring, prompt/model improvements, and additional automations
 </li>
 <li>
 Documentation: Produce clear technical documentation, client demos, and internal playbooks to enable reuse and scalability
 </li>
 <li>
 Continuous Learning: Stay current on LLM tooling and delivery best practices to improve quality and speed
 
 
 </li>
 </ul>
 Success in This Role Looks Like
 
 
 <ul>
 <li>
 Solutions consistently meet or exceed client expectations and show measurable impact (time saved, cost reduced, improved conversion/deflection, faster cycle time)
 </li>
 <li>
 Clients trust you as a go-to engineering partner and expand usage of deployed AI workflows
 </li>
 <li>
 Deliveries are production-ready: monitored, testable, documented, and maintainable
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 3&ndash;8 years of software or AI engineering experience (mid-to-senior)
 </li>
 <li>
 2&ndash;3+ years of AI Automation, Generative AI, or Agentic AI (mid-to-senior)
 </li>
 <li>
 Strong Python engineering skills and experience building APIs/services (e.g., FastAPI)
 </li>
 <li>
 Hands-on experience integrating LLMs (e.g., OpenAI APIs or equivalents), including prompt design, structured outputs, and basic evaluation practices
 </li>
 <li>
 Experience with at least one workflow automation platform (n8n, Make, Zapier, or similar) and building reliable integrations
 </li>
 <li>
 Familiarity with RAG fundamentals and retrieval systems (embeddings, vector search); exposure to vector databases and/or Elasticsearch
 </li>
 <li>
 Production engineering fundamentals: Docker, cloud deployment (AWS/GCP/Azure/IBM), and experience with async/queuing patterns (e.g., Celery, Redis, Kafka)
 </li>
 <li>
 Comfort operating in a client-facing environment: technical calls, demos, and collaborating with cross-functional stakeholders
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with fine-tuning LLMs or other ML models; broader ML exposure is a plus (not required)
 </li>
 <li>
 Familiarity with observability and tracing (e.g., LangSmith, OpenTelemetry) and prompt/version lifecycle management
 </li>
 <li>
 Experience with graph databases / knowledge graphs
 </li>
 <li>
 Familiarity with data governance and AI governance concepts (PII handling, auditability, access controls, risk awareness)
 </li>
 <li>
 Prior consulting experience or work in fast-paced startup environments
 
 
 </li>
 </ul>
 
 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.
 
 
 
 Powered by JazzHR
 
 
 DXag1oObkj
</div>

Applied AI Engineer (Automation)

ZENCLOUD TECHNOLOGIES (PRIVATE) LIMITED

We are looking for a talented and motivated Full Stack Engineer with 1&ndash;2 years of experience to join our growing team. The ideal candidate should have strong hands-on experience in the MERN Stack (MongoDB, Express.js, React.js, Node.js) along with practical knowledge of Python and Agentic AI systems for building intelligent, scalable, and modern applications.Key Responsibilities:<ul><li>Develop and maintain full stack web applications using the MERN Stack.</li><li>Build responsive and user-friendly front-end interfaces using React.js.</li><li>Design and develop scalable back-end services and REST APIs using Node.js / Express.js.</li><li>Manage and optimize MongoDB databases.</li><li>Develop AI-powered features, workflows, and automation using Python.</li><li>Build and integrate Agentic AI solutions, LLM-based tools, AI assistants, and autonomous workflows.</li><li>Collaborate with cross-functional teams to implement innovative features.</li><li>Troubleshoot, debug, and optimize system performance.</li><li>Write clean, maintainable, and efficient code following best practices.</li></ul>Required Skills &amp; Qualifications:<ul><li>1&ndash;2 years of professional experience in Full Stack Development.</li><li>Strong hands-on experience with MongoDB, Express.js, React.js, and Node.js.</li><li>Proficiency in Python for backend development, automation, or AI solutions.</li><li>Experience with Agentic AI, AI agents, LLM integrations, or workflow automation tools.</li><li>Solid knowledge of JavaScript, HTML5, CSS3.</li><li>Experience with REST APIs and third-party integrations.</li><li>Familiarity with Git/version control systems.</li><li>Strong problem-solving and communication skills.</li></ul>Work Location: In person

Full Stack Engineer (MERN Stack + AI/Python)

Edge

<div>
 
 
 About Edge
 
 
 
 Edge helps medical, dental, and insurance organizations scale faster and operate more efficiently by providing pre-vetted, global talent to handle mission-critical administrative work: documentation, scheduling, billing, claims, and more. We combine rigorous training with a people-first approach, so our clients can focus on customer experiences while we handle the rest.
 
 
 We combine data-driven sourcing strategies with deep industry expertise to deliver results that go beyond resumes. We&rsquo;re now expanding our sales development team to accelerate growth and that&rsquo;s where you come in.
 
 
 
 
 
 
 About the role:
 
 
 
 We are hiring an AI &amp; Data Engineer to design and deploy AI-powered business systems across sales, operations, HR, and compliance. You will report to the Manager, Data Platform and work within a small, high-impact team with direct visibility to the CEO.
 
 
 This role spans the full modern data + AI stack: building reliable data pipelines, owning product and marketing analytics (GA4), developing agentic AI workflows, and integrating systems across the business. It is suited for someone who operates at the intersection of data engineering, AI systems, and business execution&mdash;capable of building pipelines, shipping LLM-powered agents, and connecting everything into production systems that drive outcomes.
 
 
 
 
 
 
 What you'll do:
 
 
 <ul>
 <li>
 Build and maintain scalable data pipelines, ETL/ELT workflows, and warehouse/lakehouse data models that power analytics and AI systems, ensuring data quality, observability, and reliability across production flows
 </li>
 <li>
 Own GA4 end-to-end: event schema design, custom dimensions/metrics, conversion tracking, GTM (including server-side where applicable), and measurement strategy
 </li>
 <li>
 Pipe GA4 data into BigQuery and the warehouse; unify clickstream, product, CRM, operational, and financial data into a consistent view of the customer journey
 </li>
 <li>
 Partner with Marketing, Growth, and Product to define KPIs, funnels, attribution models, and audience segmentation; build dashboards and reporting that drive decision-making
 </li>
 <li>
 Maintain tracking governance including naming conventions, data layer standards, documentation, and privacy/consent compliance (e.g., GDPR-aligned practices)
 </li>
 <li>
 Design, build, and deploy agentic AI systems using orchestration frameworks (LangGraph, LlamaIndex, CrewAI, etc.), including RAG pipelines, tool use, memory, evaluation, and production LLM workflows
 </li>
 <li>
 Develop automation across core business functions (sales, operations, HR, compliance), including outbound sales workflows, account management, client health tracking, talent pipeline optimization, and market signal monitoring
 </li>
 <li>
 Integrate systems across Salesforce, HubSpot, Slack, email, GA4/GTM, and internal platforms using APIs, webhooks, and event-driven architectures
 </li>
 <li>
 Build and maintain reliable connectors and sync processes; monitor integrations, handle failures gracefully, and implement alerting and recovery mechanisms
 </li>
 <li>
 Support strategic and internal initiatives, including expansion efforts, workflow monitoring systems, and data-driven insight generation across business operations
 </li>
 </ul>
 
 
 
 
 
 What you'll need:
 
 
 <ul>
 <li>
 Strong data engineering fundamentals: pipelines, ETL/ELT, data modeling, and warehouse/lakehouse architectures
 </li>
 <li>
 Hands-on experience with GA4 (event design, GTM configuration, BigQuery export, and production-grade reporting)
 </li>
 <li>
 Experience building agentic AI systems (orchestration frameworks, RAG, tool use, LLM workflows in production environments)
 </li>
 <li>
 Solid understanding of APIs, integrations, and event-driven system design
 </li>
 <li>
 Proficiency in Python and SQL
 </li>
 <li>
 Experience with cloud infrastructure (AWS, GCP, or similar); BigQuery strongly preferred
 </li>
 <li>
 Experience working with business systems (e.g., Salesforce, HubSpot, communication tools, dashboards)
 </li>
 <li>
 Strong execution ability: breaking down ambiguous problems, operating across data + business contexts, and delivering production systems (not prototypes)
 </li>
 <li>
 High ownership, bias for action, and strong communication across technical and non-technical stakeholders
 </li>
 </ul>
 
 
 
 
 
 Nice to have:
 
 server-side GTM, Consent Mode v2, privacy-compliant tracking; attribution modeling/marketing mix; dbt, Airflow/Dagster/Prefect; reverse ETL (Hightouch, Census); experience in high-compliance industries; PowerBI / MS Fabric
 
 
 
 
 
 
 Why Join Edge?
 
 
 
 Edge is at a pivotal growth point, and this role offers the rare opportunity to shape the future of global employment. Here, your work directly impacts our growth trajectory, empowers businesses, and creates global employment opportunities. We&rsquo;re not just offering a job; we&rsquo;re inviting you to be part of a revolution.
 
 
 Edge is proud to be an equal-opportunity employer. We are committed to fostering a diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, veteran status, or any other legally protected basis.
 
</div>

AI & Data Engineer

CXAi

<div>CXAi is a digitally powered, human delivered Global Customer Experience Management organization with multiple locations in Canada and abroad. We provide a wide range of business solutions to help businesses thrive. We are sought-after solutions partner for Omni Channel CX, Digital Transformation, Consulting and Technology solutions.
Our mission is to deliver elevated customer experiences to our clients, leveraging deep operational knowledge and process expertise, a strong and versatile technology stack, and a diverse geographic footprint. We focus on engaging early with our clients and leverage a consultative approach to deeply understand our clients&rsquo; brands, and design customized solutions to complex customer challenges.
Job Description
We are seeking a forward-thinking leader to drive enterprise-wide automation through Agentic AI systems, leveraging advanced Large Language Models (LLMs), Machine Learning (ML), and platforms such as Claude.
This role will be responsible for designing, implementing, and scaling AI-driven solutions across all departments&mdash;transforming how work gets done through intelligent automation, augmentation, and decisioning.
This role sits at the core of our transformation &ndash; bringing together LLMs, ML and Agentic AI to redefine how work is done. You will enable a future where AI augments human capability, strengthens customer relationships and drives scalable growth.
The ideal candidate brings a strong combination of hands-on technical expertise in LLMs/ML, and the ability to translate AI capabilities into real business outcomes across CX, operations, and back-office functions. 
Key Responsibilities<ul><li>Define and execute the enterprise AI strategy, driving adoption of Agentic AI, LLMs, and ML aligned to business KPIs</li><li>Identify and implement high-impact use cases across predictive analytics, generative AI, and intelligent automation</li><li>Design, build, and deploy AI agents and workflows with capabilities like multi-step reasoning, tool integration, and decision-making</li><li>Lead hands-on development using LLMs (e.g., Claude), orchestration frameworks, and ML models</li><li>Drive enterprise-wide adoption of LLMs across Customer Support, Finance, HR, and Operations, including training and enablement</li><li>Develop reusable assets such as prompt libraries, templates, and AI playbooks</li><li>Integrate AI solutions with CRM, CX platforms, and data/BI systems to enable end-to-end automation</li><li>Establish governance frameworks for responsible AI, including accuracy, bias mitigation, and compliance</li><li>Monitor performance and continuously optimize AI solutions to improve efficiency, cost, and productivity</li><li>Evaluate AI technologies and lead the transition to AI-first architecture</li><li>Build and lead AI/ML teams while upskilling the broader organization</li></ul> 
Required Qualifications<ul><li>2&ndash;12+ years of experience in AI, Machine Learning, or Automation</li><li>Proven experience deploying LLMs in production and building ML models for business use cases</li><li>Experience with Agentic AI or autonomous workflow automation</li><li>Hands-on expertise with LLMs (e.g., Claude), prompt engineering, and API integration</li><li>Experience with LLM orchestration frameworks and Python-based ML ecosystems</li><li>Strong understanding of NLP, generative AI, and predictive modeling</li><li>Experience in BPO, CX, or operations-driven environments preferred</li></ul> 
Preferred Qualifications<ul><li>Experience building AI copilots or internal AI platforms</li><li>Familiarity with Azure AI / Microsoft ecosystem (Fabric, Power BI, Dynamics)</li><li>Experience in speech analytics, sentiment analysis, or behavioral modeling</li><li>Understanding of data engineering and data pipelines</li></ul></div>

Head of Agentic AI & Automation

S&P Global

About the Role: 
Grade Level (for internal use): 11
 Job Title: Lead DevOps Engineer – Developer Experience
 Experience: 8–10 Years
 Location: Islamabad, Pakistan
 
Role Overview
 We are seeking a Lead DevOps Engineer / Lead Site Reliability Engineer (SRE) to own and evolve our Developer Experience ( DevEx ) platform. This role blends deep technical expertise , SRE leadership, and people management, with a strong focus on GenAI and agentic workflows to accelerate developer productivity, platform reliability, and secure software delivery.
 
Key Responsibilities
 DevEx & Platform Ownership
 Design and standardise SDLC workflows using platforms like GitHub and Azure DevOps (ADO), along with integrated DevOps tools.
 
Build reusable pipeline templates, workflows, and automation for engineering teams.
 
Lead adoption of InnerSource and platform engineering best practices.
 
SRE & Reliability Leadership
 
Lead SRE practices across platforms, including SLOs, SLIs, error budgets, and reliability metrics.
 
Own on-call strategy, incident response, root cause analysis (RCA), and postmortem processes.
 
Drive the observability strategy across DevOps platforms, including logs, metrics, traces, and alerts.
 
Improve platform availability, MTTR, and operational maturity through automation and consistent practices .
 
DevSecOps Enablement
 Embed robust security practices into CI/CD pipelines with technologies like GitHub Advanced Security (GHAS), Mend, and Fortify.
 
Define and enforce security policies, quality gates, and compliance controls.
 
Partner with Information Security teams on risk management, exceptions, and secure-by-default pipeline designs.
 
GenAI & Agentic Workflows
 
Lead the adoption of GenAI tools within the developer workflow, including platforms like GitHub Copilot, Amazon Q, and Cursor
 
Design and implement agentic workflows for pipeline automation, security remediation, release validation, and incident analysis.
 
Establish governance, guardrails, and best practices for AI-assisted development.
 
Leadership & Collaboration
 
Lead, mentor, and grow a DevOps, SRE, and DevEx engineering team.
 
Act as a technical authority and escalation point for platform and reliability issues.
 
Collaborate closely with Application, Security, Architecture, and Product teams.
 
Drive change, release, and incident management processes aligned with enterprise standards.
 
Influence roadmap planning, prioritisation, and technical standards.
 
Required Technical Skills
 GitHub & DevEx Tooling
 Experience managing platforms like GitHub Enterprise Cloud, with a preference for admin-level expertise.
 
Advanced experience with GitHub Actions, including reusable workflows, actions, and policy enforcement.
 
GitHub Advanced Security ( CodeQL , Dependabot , secret Scan ).
 
DevOps & CI/CD
 
Hands-on experience with CI/CD automation tools like GitHub Actions and GitLab CI
 
Experience working with platforms like JFrog Artifactory and SonarQube. Strong understanding of CI/CD workflow design, approval gates, and release automation.
 Cloud & SRE
 
Strong experience with AWS and cloud-native architecture .
 
Deep expertise in SRE principles, reliability engineering, and automation-first design.
 Observability
 
Hands-on experience with observability platforms and tooling.
 
Strong understanding of alerting strategies and incident reduction techniques.
 
Automation & Integration
 
Strong scripting skills in Python and Shell.
 
Working knowledge of SQL.
 
Experience with REST APIs, tool integrations, and platform migrations.
 
Good to Have
 Holding certifications like GitHub Cloud Administrator is a plus.
 
Experience implementing AI governance frameworks and guardrails.
 
Exposure to large-scale enterprise DevEx or platform engineering teams.
 
What’s In It For You?
 
Our Mission: 
Advancing Essential Intelligence.
 
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. Join us and help create the critical insights that truly make a difference.
 
Our Values: 
Integrity, Discovery, Partnership
 
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: Know Your Rights: Workplace discrimination is illegal
 ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)
 
Job ID: 325398
 Posted On: 2026-04-17
 Location: Islamabad, Pakistan

Lead DevOps Engineer

easypaisa digital bank

<div>
 
 
 About easypaisa digital bank:
 
 
 
 easypaisa is Pakistan&rsquo;s first digital bank and has advanced Pakistan&rsquo;s digital finance landscape. Backed by our shareholders, Telenor Group-a leading telecom operator in Asia and the Nordics- and Ant Group-the force behind Alipay, the world&rsquo;s leading open internet platform, easypaisa deliver secure, convenient financial solutions to millions of Pakistanis.
 
 
 
 
 
 
 Position Summary:
 
 
 
 The role is responsible for driving advanced data science initiatives, leveraging machine learning and Generative AI to deliver actionable insights, predictive models, and intelligent automation across the organization. The incumbent will design, build, and deploy scalable analytical and risk models, support targeted customer engagement and credit decisioning, and enable data-driven strategies through close collaboration with business, BI, and technology teams.
 
 
 
 
 
 
 Duties and Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Contribute to the development, assessment, automation and governance of data science projects for building and enhancing customer understanding as well as targeted campaigns
 </li>
 <li>
 Develop actionable statistical models covering but not limited to predictive, clustering &amp; segmentation (behaviour, payment, lifestyle etc.), digital (app propensity, app churn etc.), stratified sampling across selected KPIs, association rule mining to develop product affinity, etc. in open-source architecture (Python/R etc.)
 </li>
 <li>
 Credit and associated default risk establishment across base. Experience working in credit scoring, probability of default modelling and collections optimization is a plus.
 </li>
 <li>
 Design and development of model deployment pipelines (MLOps)
 </li>
 <li>
 At least 2 years working experience with Gen AI and Agentic AI.
 </li>
 <li>
 Ad hoc drill downs, investigative analytics and profiling exercises using complex SQL queries to be accomplished as part of the day-to-day activities
 </li>
 <li>
 Proactively work with various departments including business heads to provide advanced analytics, data modelling systems and insights
 </li>
 <li>
 Work in close coordination with the BI team in the department as custodian of data science projects and act as bridge between commercial users and Technology
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Knowledge and Experience
 
 
 
 
 Education:
 
 BS(CS/Mathematics/Engineering/Statistics), Masters in relevant area (Preferred)
 
 
 
 Experience:
 
 5+ years&rsquo; experience working in Data Science (ML &amp; Gen AI)
 
 
 
 Behavioral Skills:
 
 
 <ul>
 <li>
 Communication Skills
 </li>
 <li>
 Negotiation Skills
 </li>
 <li>
 Stakeholder and vendor management
 </li>
 </ul>
 
 
 Competencies:
 
 
 <ul>
 <li>
 Experience in SQL, Python
 </li>
 <li>
 Experience in Gen AI and Agentic AI frameworks
 </li>
 <li>
 Data management
 </li>
 </ul>
 
 
</div>

Data Scientist

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