11+ Model-based testing Jobs in Delhi, NCR and Gurgaon | Model-based testing Job openings in Delhi, NCR and Gurgaon

Review Criteria

• Strong AI/ML Test Engineer
• 5+ years of overall experience in Testing/QA
• 2+ years of experience in testing AI/ML models and data-driven applications, across NLP, recommendation engines, fraud detection, and advanced analytics models
• Must have expertise in validating AI/ML models for accuracy, bias, explainability, and performance, ensuring decisions are fair, reliable, and transparent
• Must have strong experience to design AI/ML test strategies, including boundary testing, adversarial input simulation, and anomaly monitoring to detect manipulation attempts by marketplace users (buyers/sellers)
• Proficiency in AI/ML testing frameworks and tools (like PyTest, TensorFlow Model Analysis, MLflow, Python-based data validation libraries, Jupyter) with the ability to integrate into CI/CD pipelines
• Must understand marketplace misuse scenarios, such as manipulating recommendation algorithms, biasing fraud detection systems, or exploiting gaps in automated scoring
• Must have strong verbal and written communication skills, able to collaborate with data scientists, engineers, and business stakeholders to articulate testing outcomes and issues.
• Degree in Engineering, Computer Science, IT, Data Science, or a related discipline (B.E./B.Tech/M.Tech/MCA/MS or equivalent)
• Candidate must be based within Delhi NCR (100 km radius)

Preferred

• Certifications such as ISTQB AI Testing, TensorFlow, Cloud AI, or equivalent applied AI credentials are an added advantage.

Job Specific Criteria

• CV Attachment is mandatory
• Have you worked with large datasets for AI/ML testing?
• Have you automated AI/ML testing using PyTest, Jupyter notebooks, or CI/CD pipelines?
• Please provide details of 2 key AI/ML testing projects you have worked on, including your role, responsibilities, and tools/frameworks used.
• Are you willing to relocate to Delhi and why (if not from Delhi)?
• Are you available for a face-to-face round?

Role & Responsibilities

• 5 years’ experience in testing AIML models and data driven applications including natural language processing NLP recommendation engines fraud detection and advanced analytics models
• Proven expertise in validating AI models for accuracy bias explainability and performance to ensure decisions eg bid scoring supplier ranking fraud detection are fair reliable and transparent
• Handson experience in data validation and model testing ensuring training and inference pipelines align with business requirements and procurement rules
• Strong skills in data science equipped to design test strategies for AI systems including boundary testing adversarial input simulation and dri monitoring to detect manipulation aempts by marketplace users buyers sellers
• Proficient in data science for defining AIML testing frameworks and tools TensorFlow Model Analysis MLflow PyTest Python based data validation libraries Jupyter with ability to integrate into CICD pipelines
• Business awareness of marketplace misuse scenarios such as manipulating recommendation algorithms biasing fraud detection systems or exploiting gaps in automated scoring
• Education Certifications Bachelors masters in engineering CSIT Data Science or equivalent
• Preferred Certifications ISTQB AI Testing TensorFlowCloud AI certifications or equivalent applied AI credentials

Ideal Candidate

• 5 years’ experience in testing AIML models and data driven applications including natural language processing NLP recommendation engines fraud detection and advanced analytics models
• Proven expertise in validating AI models for accuracy bias explainability and performance to ensure decisions eg bid scoring supplier ranking fraud detection are fair reliable and transparent
• Handson experience in data validation and model testing ensuring training and inference pipelines align with business requirements and procurement rules
• Strong skills in data science equipped to design test strategies for AI systems including boundary testing adversarial input simulation and dri monitoring to detect manipulation aempts by marketplace users buyers sellers
• Proficient in data science for defining AIML testing frameworks and tools TensorFlow Model Analysis MLflow PyTest Python based data validation libraries Jupyter with ability to integrate into CICD pipelines
• Business awareness of marketplace misuse scenarios such as manipulating recommendation algorithms biasing fraud detection systems or exploiting gaps in automated scoring
• Education Certifications Bachelors masters in engineering CSIT Data Science or equivalent
• Preferred Certifications ISTQB AI Testing TensorFlow Cloud AI certifications or equivalent applied AI credentials

Job Role: Tax Operations Associate

Location: Gurugram (Onsite)

Shift: Rotational Shift | 5 Days Working | Rotational Week Offs

Employment Type: Full-time

Experience: Minimum 6 months of relevant experience

Education: Graduate or Undergraduate

Benefits: Both-side cab facility

Job Overview:

We are hiring a detail-oriented professional to support backend operations in tax compliance, documentation, and statutory reporting.

Key Responsibilities:

• Ensure timely and accurate filing of GST, TDS/TCS, and Income Tax returns

• Prepare tax computations, reconciliations, and compliance reports

• Maintain documentation and assist during statutory, internal, and tax audits

• Monitor TDS/TCS deductions, deposits, and Form 16/16A generation via TRACES

• Handle tax notices, queries, and compliance issues in coordination with consultants

• Ensure adherence to updated tax laws, regulations, circulars, and internal SOPs

Senior Cloud & ML Infrastructure Engineer

Location: Bangalore / Bengaluru, Hyderabad, Pune, Mumbai, Mohali, Panchkula, Delhi

Experience: 6–10+ Years

Night Shift - 9 pm to 6 am

About the Role:

We’re looking for a Senior Cloud & ML Infrastructure Engineer to lead the design,scaling, and optimization of cloud-native machine learning infrastructure. This role is ideal forsomeone passionate about solving complex platform engineering challenges across AWS, witha focus on model orchestration, deployment automation, and production-grade reliability. You’llarchitect ML systems at scale, provide guidance on infrastructure best practices, and work cross-functionally to bridge DevOps, ML, and backend teams.

Key Responsibilities:

● Architect and manage end-to-end ML infrastructure using SageMaker, AWS StepFunctions, Lambda, and ECR

● Design and implement multi-region, highly-available AWS solutions for real-timeinference and batch processing

● Create and manage IaC blueprints for reproducible infrastructure using AWS CDK

● Establish CI/CD practices for ML model packaging, validation, and drift monitoring

● Oversee infrastructure security, including IAM policies, encryption at rest/in-transit, andcompliance standards

● Monitor and optimize compute/storage cost, ensuring efficient resource usage at scale

● Collaborate on data lake and analytics integration

● Serve as a technical mentor and guide AWS adoption patterns across engineeringteams

Required Skills:

● 6+ years designing and deploying cloud infrastructure on AWS at scale

● Proven experience building and maintaining ML pipelines with services like SageMaker,ECS/EKS, or custom Docker pipelines

● Strong knowledge of networking, IAM, VPCs, and security best practices in AWS

● Deep experience with automation frameworks, IaC tools, and CI/CD strategies

● Advanced scripting proficiency in Python, Go, or Bash

● Familiarity with observability stacks (CloudWatch, Prometheus, Grafana)

Nice to Have:

● Background in robotics infrastructure, including AWS IoT Core, Greengrass, or OTA deployments

● Experience designing systems for physical robot fleet telemetry, diagnostics, and control

● Familiarity with multi-stage production environments and robotic software rollout processes

● Competence in frontend hosting for dashboard or API visualization

● Involvement with real-time streaming, MQTT, or edge inference workflows

● Hands-on experience with ROS 2 (Robot Operating System) or similar robotics frameworks, including launch file management, sensor data pipelines, and deployment to embedded Linux devices

Job Overview :

We are seeking a passionate and experienced Full Stack Developer with a strong background in Java and modern front-end technologies. The ideal candidate should possess a keen analytical mindset, be comfortable working in a cross-functional, fast-paced environment, and demonstrate the ability to take ownership of technical challenges. This role involves end-to-end development, from understanding business requirements to delivering scalable, high-quality solutions, while continuously seeking improvement and innovation. 

KEY RESPONSIBILITIES 

• Analyze entity relationships to design and implement efficient, scalable code solutions.
• Develop reports and conduct thorough analysis to identify defects and recommend enhancements. 
• Perform root cause analysis to resolve issues effectively and prevent recurrence. 
• Offer technical recommendations and develop improvement plans based on data-driven insights. 
• Apply a curious, problem-solving mindset to tackle complex business challenges and propose innovative solutions.   

 REQUIRED QUALIFICATIONS: 

• 5+ years of hands-on experience with Java, HTML5, Angular, TypeScript, JavaScript, and React. 
• Demonstrated knowledge or strong interest in full stack development. 
• Solid experience working with RESTful services, independent of platform.
• Proficiency in Oracle or SQL Server, with the ability to define data flow, high-level data design, and relationships.
• Exposure to AWS Cloud technologies and cloud-based development. 
• Working knowledge of version control tools such as Git or SVN.
• Experience implementing automated testing platforms and writing unit tests. 
• Proven ability to collaborate with cross-functional teams including Technical Leads, Product Managers, and Designers. 
• Strong communication skills with a flexible, team-oriented approach. 
• Prior experience working with US-based clients and adaptability to shifting priorities. 
• Self-driven and accountable, with a strong sense of ownership and responsibility.

Sr. Staff Engineer Role

We are looking for a customer-obsessed, analytical Sr. Staff Engineer to lead the development

and growth of our Tax Compliance product suite. In this role, you’ll shape innovative digital

solutions that simplify and automate tax filing, reconciliation, and compliance workflows for

businesses of all sizes. You will join a fast-growing company where you’ll work in a dynamic and

competitive market, impacting how businesses meet their statutory obligations with speed,

accuracy, and confidence.

As the Sr. Staff Engineer, You’ll work closely with product, DevOps, and data teams to architect

reliable systems, drive engineering excellence, and ensure high availability across our platform.

We’re looking for a technical leader who’s not just an expert in building scalable systems, but also

passionate about mentoring engineers and shaping the future of fintech.

Responsibilities

● Lead, mentor, and inspire a high-performing engineering team (or operate as a hands-on

technical lead).

● Drive the design and development of scalable backend services using Python/Node.js.

● Experience in Django, FastApi, Task Orchestration Systems.

● Own and evolve our CI/CD pipelines with Jenkins, ensuring fast, safe, and reliable

deployments.

● Architect and manage infrastructure using AWS and Terraform with a DevOps-first mindset.

● Collaborate cross-functionally with product managers, designers, and compliance experts

to deliver features that make tax compliance seamless for our users.

● Set and enforce engineering best practices, code quality standards, and operational

excellence.

● Stay up-to-date with industry trends and advocate for continuous improvement in

engineering processes.

● Experience in fintech, tax, or compliance industries.

● Familiarity with containerization tools like Docker and orchestration with Kubernetes.

● Background in security, observability, or compliance automation.

Requirements

● 8+ years of software engineering experience, with at least 2+ years in a leadership or

principal-level role.

● Deep expertise in Python/Node.js, including API development, performance optimization,

and testing.

● Experience in Event-driven architecture, kafka/rabbitmq like

● Strong experience with AWS services (e.g., ECS, Lambda, S3, RDS, CloudWatch).

● Solid understanding of Terraform for infrastructure as code.

● Proficiency with Jenkins or similar CI/CD tooling.

● Comfortable balancing technical leadership with hands-on coding and problem-solving.

● Strong communication skills and a collaborative mindset.

Opportunity

As a Technical Support Specialist, you will provide the highest level of support to every customer, through every interaction. You will work closely with other teams (onboarding, customer success, and engineering) to ensure that customer accounts have the technical support necessary to be set up for success. You will manage and troubleshoot third-party integrations, build and use technology resources for the Customer Experience and Solutions team, and act as an escalation point for the rest of the team.

We’re looking for someone who is highly-motivated and detail-oriented. You’re also passionate about people as much as you are about getting your work done. You have a natural fluidity and thoughtfulness to your written and verbal communication with customers. On top of that, you’re incredibly organized, handling multiple responsibilities at the same time without letting a single ball drop. 

Our perfect team member has a customer-first attitude with a strong sense of empathy. More importantly, you have a natural curiosity and aptitude for technology and can quickly learn how to use new tools.

Past experience in technical customer support (email, phone, chat or live) is definitely a plus. If this sounds like you, we’d love to hear from you!

Responsibilities

• You will be the face of QDC, handling inbound interactions through (chat, email, phone and remote session)
• Learn to triage incoming customer inquiries and the process of escalating them by working with various team members to resolve and close tickets in pre-defined SLA.
• Reproduce customer issues and log tickets to be solved by the engineering team.
• Guide users on product features and train them to use it effectively.
• Build and maintain the resources required for technical support. (Walkthrough, set up guides, help tutorials, emails, and video tutorials)
• Take handover from the onboarding team by understanding customers' persona, their pain points, and expectation. 
• Rigorously measure support SLA & metrics and improve it continuously.
• Maintain regular communications with customers about new feature developments and enhancements to the product. 
• Consistently gain product knowledge and work towards improvements on internal processes by identifying the existing bottlenecks.

What you can expect in the next 12 months

Within 1 month

• You should have acquired a good knowledge of the laundry domain, QDC product, and process that we follow.
• Have a one-one chat with every member of the Quick Dry Cleaning team so you get to know everyone well and understand each other.
• You should have gone through at least 3 onboarding and sales experience in the buddy system.
• You should have spent a day at the laundry store to get live hands-on experience.
• You should be able to configure SMS API’s for national and international clients.
• Learn how to access and use all internal tools, including Google Apps, Zoho Desk, JIRA, Sales-IQ, CRM and reverse-shadow in each tool. 
• Shadow other Customer Support Representatives (CSRs) handling inbound interactions, gaining an understanding of common customer inquiries as well as our processes for resolution; demonstrate understanding by completing simple tickets with a CSR shadowing you. 

Within 3 months

• Independently handle hardware integration and support. 
• Become QDC expert through training and customer interaction, building a solid understanding of each feature and best practices for how to use them; handle 80% of all inbound Technical Support interactions without assistance through resolution or escalation; be able to provide creative solutions to users.

Within 6 months

• Maintain a level of customer satisfaction (we measure through CSAT scores) equal to or greater than the overall team average; help maintain all service and support content including process documentation, videos, email macros, training manuals and help articles.

Within 12 months

• Help interview, onboard and train incoming team members.
• Proactively identify, pilot and implement ways to increase efficiency in Technical Support processes; assess results and refine.

What an ideal candidate looks like?

• At least 2+ years of work experience in a customer-facing role such as Customer Support, Account Management, Sales, Corporate Training, etc. 
• Strong problem-solving skills, technical and analytical aptitude with the ability to quickly learn and adopt technical products.
• Ability to understand a software product and its nuances very well.
• Experience managing customer interactions effectively.
• Previous B2B SaaS and enterprise software experience.
• Excellent written and verbal communication skills.
• Ready to work in US Shift in the future when required.

What are we looking for?

Attitude

Skills

• Empathy
• Positive Attitude
• Patience
• Organized
• Process Driven
• Coachable
• Metrics Driven
• Attentive and Listening Skills
• Ability to explain in uncomplicated/ simple language

About Quick Dry Cleaning

We are on a mission to make Dry Cleaners and Laundry business winning in the digital era.

We believe in 

• Helping traditional laundries to come at par with digital businesses: Traditional We help laundry businesses adopt modern technology and deliver the customer experience that today’s digital businesses like Swiggy, OLA and Flipkart are delivering. We feel successful when we hear stories like these.
• Building a large profitable business: We envision building a capital-efficient, large profitable business to achieve our mission of making laundry business win. This means less dependence on investors & more ownership with the team. We are one of the few profitable Indian SaaS startups building value SaaS
• Employee Wellness <> Customer Success: We give as much importance to each team member’s personal & professional success as much as we care about our customer's success. We believe it’s all about balance.

Our impact so far

• 3 Billion garments processed through QDC Dry Cleaning Cloud
• 47 countries
• 1000+ Paid subscribers
• 5000+ Users
• All this could be achieved with a nimble team of 20 from our single office in Noida

Why join QDC?

• Freedom & Responsibility: If you are a person who wants to take up challenging work & push your boundaries with no one monitoring you, then this is the right place for you. There are no hierarchies. No managers to please.
• Holistic Growth: Building a career doesn’t have to be at the cost of missing out on your personal front. We believe that professional success is worth it when the personal goals are nurtured with equal importance. We will support you all in on that journey of yours.
• Transparency: If you ever wanted to know what it’s like to be on an entrepreneurial journey, then working with QDC gives you that opportunity to experience it all first hand.
• Great Environment: We spend more time of our day at work than at home while awake, so it is important that we feel comfortable in our workplace. Our office space is fun and the team is funnier. We never miss out on any opportunity to have fun. We don’t experience Monday blues rather we have Monday excitement.

Responsibilities:

• Devise procedures to inspect and report quality issues.
• Monitor all operations that affect the quality.
• Supervise and guide inspectors, technicians, and other staff.
• Assure the reliability and consistency of production by checking processes and final output.
• Appraise customers' requirements and make sure they are satisfied.
• Report all malfunctions to production executives to ensure immediate action.
• Facilitate proactive solutions by collecting and analyzing quality data.
• Review current standards and policies.
• Keep records of quality reports, statistical reviews, and relevant documentation.
• Ensure all legal standards are met.
• Communicate with external quality assurance officers during on-site inspections.

Requirements:

• Key requirements: Functional Testing, Automation, Base24 JIRA, API.

Desired Candidate Profile

• Excellent communication, presentation and organizational skills
• Superlative visual design skills, excellent problem solving skills and the ability to work well in a collaborative team environment
• Understanding of technical constraints, user goals and business requirements that shape a product
• Ability to work confidently with Program Management, Development, Product Planning, Brand, Marketing and Usability
• Proficiency with Figma with an understanding of rapid prototyping platforms such as Invision or Principle
• Experience working within and contributing to a structured design system
• Strong organizational skills and an attention to detail
• User Research experience in a complex space such as enterprise or other business/consumer tools and applications