Machine Learning (ML)
Python
Data ScienceReview 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
Shubham Vishwakarma
Full Stack Developer - Averlon
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Location: Baner, Pune (Work from Office)
Company: StarApps Studio
About Us:
StarApps Studio is a fast-growing, bootstrapped, and profitable B2B SaaS company empowering 25,000+ Shopify merchants and 1,000+ Shopify Plus stores with 6 highly-rated apps. As one of the Top 100 companies building apps on Shopify and the Top 1% in RPE SaaS, we are on an exciting journey from $4M ARR to $10M ARR. We are a passionate team of 20 people, building innovative tools that simplify and enhance e-commerce success.
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Javascript
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We make websites conversational. Our AI agents turn any website into an interactive experience — chat widgets, intelligent search, and AI embeds that let users ask questions, get answers, and take action without navigating pages. We’re a fast-moving product startup building at the intersection of design and AI, and we need a frontend engineer who brings both craft and conviction to
what they ship.
What We Look For First
Before anything else, we review your work. This is how we assess every candidate:
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Applications without a GitHub profile and at least two live deployments will not be reviewed.
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This is a full-ownership frontend role at an early-stage AI startup. You willdesign, build, and maintain the interfaces our customers interact with everyday — from the core product dashboard to landing pages to AI-native conversational experiences. You are not a ticket-taker. You will have direct input on product direction, collaborate closely with founders, and be expected to bring both engineering rigour and design instinct to every surface you touch. We are looking for someone who sits firmly at the intersection of engineering and design: technically deep, visually opinionated, and relentless about quality.
What You’ll Do
Core Engineering - Build and architect production-grade applications using Next.js, React, TypeScript, and Tailwind CSS - Implement modern rendering strategies — SSR, SSG, ISR, CSR — with deliberate performance budgets and Lighthouse targets - Integrate real-time features using WebSockets, Server-Sent Events, and streaming APIs - Connect with Node.js/NestJS and Python backends via REST and GraphQL; implement and maintain auth flows (JWT, OAuth 2.0, session-based) - Manage application state using Redux Toolkit, Zu- stand, or TanStack Query; handle forms via React Hook Form and Zod - Own the frontend testing strategy end-to-end — unit, integration, and E2E — using Jest, React Testing Library, and Playwright - Contribute to CI/CD pipelines, Docker-based development environments, and deployment workflows UI/UX Engineering - Translate product requirements, rough wireframes, and Figma designs into polished, pixel-perfect, and accessible web interfaces — independently, without hand-holding - Build and maintain a scalable design system: tokens, spacing scales, typography hierarchy, colour systems, and reusable component patterns - Apply strong visual design fundamentals — layout composition, typographic hierarchy, whitespace, contrast, and colour — directly in code - Build complex dashboards, data-heavy interfaces, and multi-step interactive workflows with a focus on information architecture and usability - Design and implement AI-native UI patterns: streaming chat interfaces, inline AI suggestions, conversational flows, and real-time response rendering - Implement responsive layouts that work flawlessly across breakpoints, devices, and browsers - Conduct UI/UX self-review on your own work — you catch visual inconsistencies, interaction gaps, and accessibility issues before they reach review - Work with animation and micro-interaction libraries to add purposeful motion that enhances, not distracts
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon