Total 46 job vacancies by Experian

We are looking for a skilled, passionate, and highly motivated IT Product Engineer to be involved in full Systems Development Life Cycle and provide support to the system users.

We require individuals who are strong believers in continuous improvement and are constantly driven to bring about positive change to processes.

What you’ll need to bring to the party 

• Successful candidates will play a major part in SDLC and provide support to internal system users.
• Be a highly respected member of the team capable of supporting complex technical issues.
• Be a key driver in our team by actively collaborating with the team, supporting the development of, and executing the strategy to mature support.
• A focus will also be placed on driving system improvement and operational efficiencies.

What you’ll be doing  

• Involve in R&D, design, implementation, integration, testing and deployment of software application
• Conducts, leads and coordination a specific application module development activity
• Conducts technical analysis and design of application module & database
• Provides technical expertise and guidance to developers
• Ensure module developed meets the architecture and standard set forth, including conducting code reviews, unit testing and integration testing
• Continuous process improvement

Job description

Work on those matters - What you’ll be doing

• Responsible for the creation, implementation and execution of Action Sales Plan;
• Assists or drives new initiatives or, especially in new product/service launches with speed and effectiveness to financial institutions or business corporations
• Responsibility for the sales process from initial point of contact, presentations, proposals, through contract negotiations and execution. Meet/exceed minimum monthly and annual sales objectives;
• Canvassing for new accounts, develop customer base, appraise key business opportunities in our market segments;
• Responsible for the effective management and servicing of existing and potential customers including the development and growth of accounts to optimize profits.
• Responsible for key accounts management and development of strategic; relationships with corporate clients to ensure continuous repeat business with the Bureau;
• Responsible for realizing the committed revenue targets;
• Identify opportunities to link up with financial institutions or other targeted segment through back-end integration and work closely with clients and IT to ensure the implementation and completion of projects
• Actively participate in events, conference, seminars or other promotional activities.
• Respond promptly and decisively to customers’ requirements through effective communication and co-ordination with various internal departments.
• Other projects or matters may assign to support revenue targets in futures.

More about you

• Bachelor (or above) degree in Business/ Management or equivalent.
• Minimum 3-5 years (for an account management role) or experience in sales, business development, partnerships or equivalent role.
• Excellent communication and interpersonal skills, with the ability to identify and provide comprehensive solutions for varying customer needs.
• Ability to liaise with C suite/ Senior Management / Key decision makers is desirable.
• Ability to fuse business, strategy, finance and legal concepts to lead complex, multi-faceted deals.
• Demonstrated ability to work effectively across internal and external organizations.
• Have a competitive edge and thrive in a team environment.
• Self-starter and independent as we will look for you to manage your own time and priorities here.
• A highly independent and individual with excellent team-working skills.

The Principal GenAI Product Manager EMAP will be responsible for shaping and executing Experian EMAP’s AI‑enhanced product strategy across the Ascend and Fraud portfolios.

This is a specialist role in the EMAP Product Management team. The role focuses on embedding Generative AI capabilities into core products, reimagining customer propositions, accelerating innovation, and driving adoption across diverse EMAP markets.

Operating horizontally across Product, Engineering, Data Science, Client Delivery, and Market Product teams, the role acts as a bridge between global GenAI strategy, regional priorities, and market execution.

The ideal individual will bring:

• Disruptive mindset
• Deep understanding of generative AI technologies
• Strong product instincts
• Ability to convert opportunities into scalable, commercially viable features aligned to Experian’s product operating model

What You’ll Do

GenAI Product Strategy & Direction

• Own the regional GenAI product strategy and roadmap for EMAP across Ascend and Fraud, informed by:
  • EMAP customer VOC and market needs
  • Regional regulatory and risk considerations
  • Global GenAI platforms, priorities, and capabilities
• Identify where Generative AI can materially improve customer outcomes, product differentiation, and operational efficiency.
• Translate emerging GenAI capabilities into clear product intent, priorities, and roadmaps.

Product Discovery & Productisation

• Lead discovery of high‑impact GenAI opportunities across customer journeys and internal product workflows.
• Define use cases with clear value hypotheses, success measures, and risk considerations.
• Drive productisation of GenAI capabilities, moving from concept and proof points into scalable, production‑ready features embedded in core products.
• Ensure solutions are designed for repeatability, supportability, and regional scale, rather than bespoke delivery.

Scaling & Adoption Across EMAP

• Work with markets and regional functions to scale GenAI use cases across EMAP, with primary focus on customer‑facing innovation and considering productivity enablement where it supports product outcomes
• Define how GenAI capabilities will be adopted, measured, and evolved over time across markets.
• Track outcomes including adoption, productivity gains, customer impact, and product differentiation.

Embedding GenAI into Core Platforms

• Partner with Engineering and Data Science to embed GenAI capabilities into existing Ascend and Fraud products, rather than standalone tools.
• Ensure GenAI features are explainable and auditable by design; aligned to Experian’s product operating model and naturally integrated into customer and analyst workflows
• Balance rapid innovation with long‑term platform integrity, trust, and regulatory compliance

Cross‑Functional & GTM Collaboration

• Act as a senior product partner across Engineering, Architecture, Data Science, Client Delivery, Market Product, and regional GTM teams.
• Collaborate with GTM to shape AI‑driven value propositions, pricing inputs, and adoption models, ensuring clear and responsible client messaging.
• Influence prioritisation and solution design through strong product judgement, evidence‑based trade‑offs, and clear articulation of customer and commercial value.
• Operate effectively in a matrixed, global environment without formal line authority.

Governance, Risk & Responsible AI

• Work closely with regional and global AI technology teams to ensure GenAI governance, controls, and guardrails are embedded into product design and delivery.
• Ensure GenAI product capabilities align with:

• Product development and risk frameworks
• Legal, compliance, and regulatory requirements across EMAP
• Responsible AI principles (fairness, transparency, traceability)

Client Co‑Creation & Ecosystem Engagement

• Co‑create GenAI capabilities with selected clients to validate value, usability, and adoption.
• Partner with global technology and AI platform teams to leverage external GenAI providers where appropriate, in line with Experian standards and governance.

GenAI Thought Leadership & Storytelling

• Act as an internal GenAI product ambassador for EMAP.
• Share success stories, learnings, and impact narratives to support alignment, adoption, and momentum across product teams and markets

What Success Looks Like

• GenAI capabilities embedded into EMAP products at scale, not isolated pilots
• Tangible improvements in customer decision quality, speed, and usability
• Clear, aligned GenAI priorities across product teams and markets
• Innovation delivered responsibly, maintaining Experian’s standards of trust and compliance

We are looking for a Software Engineering Intern who is eager to build strong software engineering fundamentals while gaining exposure to AI-enabled development practices.

As an intern, you will work alongside experienced engineers, contribute to real production code, and learn how modern software teams use Java, Spring Boot, and AI tools to build, develop, test, and improve software solutions.

This role is designed to be learning-focused, hands-on, and suitable for interns who want to grow into strong software engineers in a real-world environment.

What you’ll need to bring to the role & Experian

As a Software Engineering Intern, your responsibilities may include:

• Contributing to the development and enhancement of backend services and APIs using Java and Spring Boot
• Supporting general software development lifecycle activities, including development, implementation, testing, and supports
• Writing clean, maintainable, and well-tested code under guidance from senior engineers
• Assisting with automation and quality improvements, including test automation where applicable
• Learning how AI-assisted development tools are used to accelerate coding, debugging, and testing workflows
• Collaborating within an Agile development team, participating in stand-ups, sprint planning, and retrospectives

Candidates do not need to meet every requirement — motivation and availability are key.

Job description

Cultivating solid relationships with clients through the provision of exceptional after-sales service.
Creating a positive onboarding experience for new clients.
Regularly interacting with clients through telephone calls, email communications, or face-to-face meetings.
Provide training and overall guidance to enable clients to fully utilize product features and benefits.
Foster strategic client relationship for Non-FI customers & deliver against financial KPI, for customer retention and cross selling of company’s products and services
Regularly communicate with clients to provide updates and gather feedback. And provide regular feedback to management regarding customer comments and feedback on our products and services.
Address client concerns and provide timely solutions.
Handle daily incoming and outgoing customer calls and email.
Keep detailed records of customer interactions and transactions, including inquiries, complaints, comments, and actions taken.
Ensure compliance with all company policies, procedures, and standards.
Perform and achieve assigned KPIs.
Contribute to team efforts by accomplishing related results as needed.

Job description

The data analyst will play a key role in defining, creating, and delivering powerful interactions data for a substantial part of our business and will partner closely with multiple business partners to provide data and insights to drive operational improvements. This is a critical role that will enable and support our global data and business intelligence strategy. The data analyst will be able to embrace and drive change and to lead global cross-functional data-related projects as well as being data savvy, technically minded and capable of quickly gaining a deep knowledge and understanding of Experian’s wide-ranging systems landscape as well as continually evolving complex data hierarchies, reporting structures and business intelligence requirements and priorities.

We are seeking a skilled Azure Cloud Engineer to join our team. The ideal candidate will have a strong background in DevOps practices, cloud solutions, and network engineering in Microsoft Azure. This role involves maintaining and developing a cloud environment that hosts mission critical financial services applications used across Australia and New Zealand. This role is pivotal for ensuring the delivery of high-quality, scalable, and secure Microsoft Azure cloud solutions.

Key Responsibilities:

• Apply DevOps practices, including Continuous Integration, Continuous Delivery, Infrastructure as Code to deliver a cloud environment that enables software development teams to deploy projects with ease.
• Provide expertise in Cloud Solutions, including deployment pipelines, automation, virtual machines, Azure PaaS services.
• Investigate identified security vulnerabilities and implement technical solutions to resolve them.
• Apply approved network changes in the cloud environment, including provisioning and changes to Network Security Groups, subnets, virtual networks and firewall rules.
• Collaborate with other engineers to ensure consistency, efficiency and quality across cloud environments and support achieving team objectives.
• Support efforts to proactively manage cloud hosting costs through appropriate provisioning and sizing of cloud resources and monitoring of resource utilisation.
• Contribute to technical documentation of the cloud environment and processes for supporting it.
• Ensure the cloud environment is maintained to high levels of availability and performance in line with service level commitments.

The Solution Architect contributes within Experian's Technology function, working across business and engineering teams to translate strategic goals into well‑designed, scalable and efficient technology solutions. Operating at the intersection of product, data and engineering, you will ensure that it aligns solutions to architecture principles, our needs and long‑term platform evolution.

As part of a collaborative and high‑performing architecture team, the Solution Architect contributes to shaping our target‑state architecture, driving design quality and guiding teams through important technical decisions. You will help ensure that complex ideas are made clear, viable and applicable — helping Experian provide solutions that are, in consideration of our strategic vision.

What you'll need to bring to the role & Experian:

• 5+ years solution design
• Cloud experience (Azure/AWS)
• Cross-functional collaboration
• Integration & API experience

Work that matters – What you'll do:

• Shape high‑level solution designs by analyzing our needs, assessing options and ensuring agreement on target‑state architecture principles.
• Collaborate with product, technology and partners to define solution scope, clarify requirements and help develop business cases.
• Contribute to architecture governance by presenting solution options, identifying trade‑offs and ensuring decisions support long‑term platform direction.
• Stay across technology trends and integration patterns to inform solution design and help evolve Experian's technical landscape.

More about you:

• Experience communicating product benefits appropriate for each recipient.
• Experience researching and generating news ideas.
• You have skills to solve any discrepancies .
• Collaborative

Why this role is important to us:

This role is important in ensuring our technology landscape evolves in a cohesive, scalable and future‑ready way. By translating our needs into well‑designed solutions, the Solution Architect helps shape the systems that power our products and services. It's an exciting opportunity to influence major programs, guide technical direction and work at the intersection of innovation, problem‑solving and meaningful outcomes.

Tenderlink is Experian's online marketplace for connecting businesses and opportunities across Australia and New Zealand. Buyers in governments and organizations use Tenderlink to make sure they get the best value and relationships with their suppliers, and suppliers use TenderLink to make sure they find every relevant business opportunity. We have goals for what we can deliver for our customers, and we're looking for a Full Stack Engineer to help shape the future of Experian Tenderlink.

TenderLink is entering an important stage as we rebuild our entire platform from the ground up. You'll join us at an important moment as we build the next-generation Tenderlink platform from the ground up. This is a true latest opportunity—designing, engineering and delivering entirely new product capabilities, not just iterating on legacy systems. You'll collaborate with customers, sales, product and engineering to shape future experience and help define how modern product development does it within our business.

What you'll need to bring to the role and Experian

• 7+ years of programming and application design experience, with at least 5 years in large-scale IT environments.
• Tertiary qualifications in Computer Science or related discipline.
• A commitment to security, privacy, and compliance standards (PCI/ISO/SOC).
• Familiarity with AI governance and safe use of GenAI tools in enterprise environments.
• Stay informed about relevant technology trends and developments and experience working in agile environments.

Work that matters - What you'll do

As a Senior Full Stack Engineer in Product Engineering, you'll build customer-facing and internal platforms. These platforms will span the full stack—UI, APIs, services, and data. Your work will focus on the Microsoft .NET ecosystem and AWS Cloud environment. You'll also help the team safely use GenAI coding assistants, such as GitHub Copilot, Cursor, and Lovable. This will promote collaboration, code quality, and developer experience, following our AI governance standards.

Your important responsibilities will include:

• You will develop secure, perform a ASP.net Core web Api .NET/.NET Core, C#, DAPPER and API's.
• Build modern front-end experiences with React and TypeScript.
• Build delivery: requirements, design, implementation, testing, deployment, and support.
• Model and increase schemas and queries on Microsoft SQL Server/SQL MI; integrate with internal/external systems by REST/SOAP.
• Deploy and operating solutions on AWS (Elastic Bean Stalk, Lambda, S3, SQS, EKS, and ECR)
• Implement CI/CD pipelines using ,DevOps, GitHub or Jenkins.
• Promote automated testing, enforcing SDLC controls, and secure coding practices.
• Use approved GenAI coding assistants to accelerate development without compromising security or privacy.
• Use approved GenAI coding assistants for boilerplate generation, test scaffolding, refactoring, and code explanations—without compromising security or privacy.
• Experience designing or integrating LLM-powered capabilities (e.g., code assistants, RAG for documentation search, test generation).
• Collaborate with product owners, designers, QA, platform/cloud engineers, and security teams.
• You will report to a Manager.

More about you

• You're a engineer who succeeds in environments and is passionate about building high-quality, scalable solutions. You bring technical depth, a security-first mindset, and a collaborative approach to.
• Main skills and attributes that set you up for success:
• Expertise in .NET stack and modern front-end frameworks (React and TypeScript).
• Experience with OO principles, design patterns, and clean architecture.
• Proficiency in relational databases (SQL Server, SQL MI, Postgres).
• Experience with containerization (Docker) and IaC (Terraform/Bicep).
• Experience communicating updates and resolutions to customers and other partners.
• Professional, accountable, and committed to engineering excellence.

Job description

Role Overview

We are seeking a collaborative and customer-focused Engineering Manager to lead one to two engineering teams. This is primarily a people leadership role, focused on coaching, supporting, and guiding teams to deliver exciting customer journeys and features while working closely with stakeholders.

Key Responsibilities

• Manage high-performing, effective, and successful software engineering team(s).
• Attract, recruit, and retain top engineering talent.
• Deliver secure, resilient, and high-quality software aligned with ECS strategy and product roadmaps.
• Provide guidance and support to multiple agile teams, ensuring adherence to best-practice software development principles.
• Collaborate with Product Owners on technology roadmaps to achieve business goals and maintain a sustainable platform.
• Develop and implement new approaches for efficient and timely delivery.
• Proactively drive continuous improvement initiatives within your area of responsibility.
• Manage team performance and development, fostering a strong team culture.
• Increase engagement through regular, transparent feedback and appropriate recognition.
• Ensure the security posture of products and services under your responsibility remains robust and compliant.

Qualifications & Skills

• 12+ years of experience in software development, with at least 4+ years in a leadership or management role.
• Proven track record of building mission-critical, high-volume transaction web-based software systems.
• Extensive expertise in .NET and React, with strong knowledge of microservice architecture delivered on .NET Core, Node.js, and React.
• Hands-on experience with AWS technologies such as CloudFront, S3, Fargate, EC2, Lambda, SNS, SQS, and DynamoDB, as well as cloud development using AWS or Microsoft Azure.
• Familiarity with DevOps practices, CI/CD pipelines, and agile tooling like Jira, Mural, and Confluence.
• Full-stack development experience, including unit testing and acceptance test automation.
• Experience developing Flutter applications for iOS and Android.
• Strong understanding of algorithms, data structures, and software analytics.
• AWS certification is preferred.
• Highly experienced people leader responsible for day-to-day team performance and talent acquisition.
• Skilled in managing and developing Agile teams to deliver value-based outcomes.
• Ability to technically lead teams, handle performance management, and ensure timely deliveries.
• Proactive self-starter who can navigate complex technical scenarios and drive solutions through collaboration.
• Experience working with diverse teams across multiple locations and technologies.
• Excellent communication skills (verbal and written) with the ability to adapt messaging for diverse audiences.
• Strong organizational skills with the ability to prioritize and delegate effectively.
• Keen eye for detail and ability to assess implications of technical findings.
• Quick learner with adaptability to new technologies and continuous improvement mindset.

Work that matters - What you'll do

As a Client Integration Manager, you'll ensure clients transition smoothly onto our products and services. Reporting to Head of Client Delivery, you'll lead a team of Integration Specialists, provide technical expertise, support client onboarding and product migration, and improve our integration processes.

• Lead a team of Integration Specialists, ensuring clear goals, performance, and a collaborative team culture.
• Oversee end‑to‑end onboarding and integration activities, including planning, API configuration, testing, troubleshooting, and User Acceptance Testing.
• Build strong, trusted relationships with clients, ensuring their technical and operational needs are clearly understood and addressed.
• Communicate technical concepts in simple, accessible language for both technical and non‑technical team members.
• Resolve integration issues, ensure accurate documentation, and maintain high security and data protection standards.
• Improve processes, adopt new tools or methods, and streamlining ways of working to enhance client experience and team efficiency.

Role Overview

We are looking for an experienced Automated Tester to build and evolve a robust, scalable automation capability across APIs, data pipelines, and our graph‑based identity platform. This role spans CI/CD gating, automated data and contract validation, graph integrity testing, performance and regression testing, and full end‑to‑end API testing within AWS. The successful candidate will ensure that our identity platform consistently meets quality, compliance, and operational standards.

Key Responsibilities

• Design, implement, and maintain automated test suites across API, data workflow, and graph components, integrating them into CI/CD pipelines with quality gates (unit, static analysis/security, data quality, contract/compliance, and final integrity checks).
• Own CI/CD quality enforcement, including gated releases, automated evidence of test results, and publish blocks when validation fails (e.g., consent, schema, integrity, scoring).
• Develop automated contract and compliance checks, including schema validation, required fields mapping, TCF/consent validation, and PII‑risk checks aligned to governance requirements.
•           Build and execute automated end‑to‑end API tests using tools such as Bruno, Insomnia, or Postman, validating API behaviour through API Gateway, Lambda integrations, and downstream data/graph operations.
• Build data quality monitors (nulls/ranges, volume deltas, distribution checks) and statistical tests suited to identity clusters; operationalize them as part of routine runs.
• Create graph integrity tests in Neo4j, covering node/edge parity, constraints, traversal path validation, merge/split detection, and evidence‑path reproducibility checks.
• Implement performance and resilience testing, including query latency targets, batch window completion for rebuilds, and regression suites for every deployment.
• Contribute to operational guardrails by instrumenting monitoring, alerting, and cost‑aware test strategies; collaborate with engineering to ensure predictable weekly rebuild cadence and controlled ad‑hoc extracts.
• Partner with product, data science, and platform teams to define test coverage for deterministic and probabilistic identity resolution, confidence scoring, stability indexing, and market‑calibrated thresholds.
• Provide clear test reporting and audit‑ready evidence, including human‑readable traces that support regulatory review and operational triage.

Must‑Have Skills & Experience:

Automation & CI/CD

• Strong CI/CD automation with gated release controls and the ability to block publication when gates fail (e.g., consent, integrity, scoring). Experience integrating automated suites into Harness CI/CD tool.

API Testing

• Ability to design and implement end‑to‑end automated API tests using Bruno, Insomnia, Postman, or similar frameworks.
• Strong understanding of REST API behaviours, request chaining, environment variables, authentication flows, and test assertions.
• Experience testing APIs running on AWS API Gateway with Lambda backends, including understanding of routing, payload transformations, throttling, and logging.

AWS

• Hands‑on experience with:
  • S3 (structured landing/prepared zones and artefact validation).
  • IAM (roles/permissions for automated testing and least‑privilege CI/CD).
  • Airflow/MWAA (end‑to‑end workflow testing, scheduled rebuilds, and validation tasks).
  • Logging/monitoring (instrumentation for quality gates, alerts, and evidence capture).

Data & API Testing

• Data contract and schema validation; automated data quality checks (null/range, volume deltas, distribution/consistency) for identity datasets.
• Performance testing for query latency and batch‑process windows; regression testing for rebuilds and deployments.
• Compliance validation (consent enforcement, PII risk, audit‑ready outputs) integrated into automated pipelines.

Graph & Identity Context

• Neo4j/graph integrity testing: node–edge constraints, path traversal validation, evidence‑path verification, and merge/split detection.
• Understanding of deterministic + probabilistic identity resolution, confidence scoring, and stability indexing to design meaningful tests for linkage accuracy and drift.

Languages & Tooling

• Python for test automation, data validations, and CI tooling integrations; familiarity with test frameworks and contract‑testing approaches as applicable.

Should‑Have Skills (Phase‑2+ / Production Maturity):

• Drift detection and score distribution monitoring for identity resolution outcomes; alerting on behavioural/statistical shifts.
• Consent and governance checks that mirror operational policies (e.g., consent‑only processing at node/edge level, version‑controlled thresholds).
• Advanced Neo4j testing patterns: traversal‑based scoring verification, stability index checks across rebuilds, and auditable result reproducibility.
• Prior testing experience with identity resolution / data science / probabilistic systems—including calibration/threshold validation and explainability.
• Familiarity with observability (alerts, dashboards) to uphold guardrails on performance, resilience, and cost visibility.

Nice‑to‑Have Experience:

• Data‑driven SaaS platforms; regulated data processing environments
• Contract‑testing frameworks (e.g., Pact) and property‑based testing approaches
• Cloud observability stacks (e.g., CloudWatch/OpenSearch/Grafana) for pipeline and API SLOs

Personal Attributes:

• Analytical, detail‑oriented, and systematic about evidence and traceability
• Strong communicator; can translate complex identity/graph concepts into clear test plans
• Proactive at identifying quality risks, gaps, and remediation strategies
• Comfortable in fast‑paced environments with weekly rebuild cadences and tight release gates

We are building a shared Agentic AI Platorm that enables teams across the enterprise to design, deploy, and operate AI-powered agents and workflows safely, consistently, and at scale.

This role is for a builder–architect, someone with strong software and systems foundations who can operate hands-on while also shaping architectural direction across teams. You will design and build core agentic AI platform capabilities while actively ensuring teams adopt shared primitives rather than creating fragmented, one-off solutions.

The role combines hands-on engineering, platorm architecture, and cross-enterprise influence, with a strong emphasis on reuse, cohesion, and long-term sustainability.

You will be #LI-hybrid based in Hyderabad and reporting to Director Engineering

What you'll do here:

• Design and build foundational platform capabilities for agentic AI systems, including orchestration, lifecycle management, memory patterns, runtime policy and human-in-the-loop controls.
• Establish agent discovery, registration, and reuse mechanisms (e.g., registries, marketplaces, protocol integration) as shared platform capabilities.
• You will define and evolve durable architectural patterns, reference architectures, and golden paths for multi-agent coordination, bounded autonomy, failure handling, and system evolution.
• Design secure-by-default architectures that embed governance, policy enforcement, auditability, and access control into agentic systems and AI workflows.
• You will build reusable AI workflow primitives that teams can adopt consistently across the enterprise.
• Partner with enterprise teams (e.g., Cloud, Security, ITSM etc.) to integrate AI workflows into existing enterprise systems and platforms.
• Maintain a bird’s-eye view of Agentic AI and AI Workflow initiatives across the enterprise, identifying the opportunities to reduce fragmentation and promote convergence.
• Mentor engineers and influence technical direction through hands-on contribution, design leadership, and clear reasoning.

We are seeking a passionate and highly motivated AI Intern to support our artificial intelligence and machine learning initiatives. In this role, you will work alongside experienced data scientists, engineers, and product teams to help design, build, and test AI-driven solutions that enhance business performance and user experience.

This internship is ideal for students or recent graduates eager to gain hands-on experience in real-world AI development, research, and analytics.

Key Responsibilities

• Assist in developing, training, and evaluating machine learning and deep learning models.
• Clean, preprocess, and analyze structured and unstructured datasets.
• Support the team in building prototypes and proof-of-concept AI solutions.
• Conduct literature reviews on the latest AI/ML techniques and tools.
• Collaborate with cross-functional teams to understand business problems and propose AI-driven solutions.
• Document model development processes, workflows, and performance results.
• Assist in automating tasks using Python, AI APIs, or visualization tools.
• Participate in team meetings, brainstorming sessions, and sprint review

We are looking for .NET Developer with experience in designing and developing APIs, cloud platforms (AWS & Azure), writing unit test cases, and working with Azure DevOps (ADO).

You will be #LI-hybrid based in Hyderabad and reporting to Director Engineering.

Key Responsibilities

• Design, develop, and maintain scalable .NET applications (.NET Core / .NET Framework).
• You will Build, enhance, and maintain RESTful APIs with best practices and security standards.
• Work with AWS and Azure cloud services, including deployment, monitoring, and troubleshooting.
• You will write clean, maintainable, and testable code with unit test cases using frameworks like NUnit, xUnit, or MSTest.
• Manage source code, CI/CD pipelines, and work items using Azure DevOps (ADO).
• Collaborate with product owners, architects, and QA engineers to understand requirements and deliver high‑quality solutions.
• Participate in code reviews, sprint planning, and technical discussions.
• Optimize performance, improve code quality, and resolve production issues.
• Ensure adherence to coding standards, security guidelines, and best engineering practices.