Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 7 hours ago

SDET 3 - Model Evaluation

AiDASH, Inc.15 open roles

Where
Bengaluru, Karnataka, India; Gurugram, Haryana, India
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSDET 3 - Model EvaluationAiDASH, Inc. · Bengaluru, Karnataka, India; Gurugram, Haryana, India

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on AiDASH, Inc.'s own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

9.8% of postings close within 7 days. Measured by our own scanner across the market. AiDASH, Inc. postings stay open a median of 22 days.

Share of postings closed within
  1. 1.9%1 day
  2. 3.9%3 days
  3. 9.8%7 days
  4. 15.6%14 days
  5. 33.8%30 days
This job: posted 7 hours ago

AiDASH, Inc. median: 22 days open

The posting

About AiDASH

AiDASH is leading the PreventionFirst™movement for electric utilities and transforming grid resilience through its pioneering platform that unifies vegetation, asset, storm, and wildfire intelligence. Powered by SatelliteFirst™ Inspection & Monitoring, AiDASH delivers comprehensive visibility across the entire grid at the right frequency and budget, using the right data modality. More than 200 customers trust AiDASH to keep the lights on, spend where it counts, and defend every decision, Securing Tomorrow across every mile of the grid. Learn more at www.aidash.com.

The PreventionFirst movement is growing, and so is the recognition behind it. In 2026, Forbes named AiDASH one of America's Best Startup Employers for the 4th consecutive year, and TIME included AiDASH among America's Top GreenTech Companies for the 3rd year in a row. Deloitte Technology Fast 500™ ranked AiDASH No. 12 in the San Francisco Bay Area, and No. 59 overall in their selection of the top 500 for 2024.

Join us in Securing Tomorrow Together!

The Role

The Platform ML team deploys and validates every ML model behind Aidash’s products. These models process satellite imagery, geospatial data, and weather data. As an SDET-3, you will own end-to-end quality for these models, from training data preparation through inference pipelines to performance at production scale. You will validate both functional correctness and scaling behavior, and you will use agentic AI tools to move faster without lowering engineering standards.

How You’ll Make an Impact:

  • Own model quality before production. Build validation frameworks for computer vision models (preferably satellite or geospatial). Catch regressions in accuracy, precision/recall, and IoU before they reach customers.
  • Build version-aware model regression. Set up pipelines that compare inference outputs across model versions on curated golden datasets. Every release should come with a clear, data-backed go/no-go signal.
  • Make data quality a first-class gate. Validate training and evaluation datasets for label quality, class balance, geographic and seasonal coverage, leakage, and drift. Ensure models are tested on data that reflects real-world conditions.
  • Validate inference at scale. Design load and benchmark tests for inference services and batch pipelines. Find the throughput, latency, and cost limits on AWS and Kubernetes before customers do.
  • Harden the platform end-to-end. Automate API, contract, and data-pipeline tests across distributed services. Use logs, metrics, and traces to speed up root-cause analysis.
  • Raise the bar for the team. Strengthen the shared automation frameworks and set standards for maintainable, non-flaky tests. Show how tools like Cursor and Claude can speed up test authoring, triage, and reporting while staying under human review.
  • Influence release decisions. This is a high-visibility role. Your quality signals will directly shape what ships across Aidash’s product lines

What we’re looking for:

We are looking for a senior QA engineer with deep backend automation experience who can validate ML models and backend systems end-to-end, and who actively uses agentic AI development tools (e.g., Cursor, Claude) to accelerate test design, automation, debugging, and reporting — without compromising fundamentals, coverage, or engineering quality.

  • 8–10 years in software testing and test automation, with strong ownership of backend system quality
  • Hands-on backend automation experience using at least one of:
  • Java + RestAssured Or Python + pytest
  • Experience testing ML applications (model/service behavior, data quality, inference pipelines, evaluation/regression of model-backed features)
  • Broader stack familiarity: observability (logs/metrics/traces), cloud (AWS), contract testing, data-pipeline validation
  • Experience improving shared automation frameworks and raising team standards for maintainable tests
  • Solid grasp of testing fundamentals and best practices (test design, risk-based coverage, isolation, maintainability, flaky-test control, clear defect/RCA discipline)
  • Strong coding ability in Java or Python (proficient in at least one), with willingness to learn the other (or additional languages) as needed
  • Good understanding of backend system design and how services interact in distributed systems
  • Practical exposure to databases — SQL and/or NoSQL (at least one is mandatory)
  • Working knowledge of application deployment and underlying orchestration (e.g., containers, Kubernetes, service rollout/health concepts)
  • CI/CD pipelines — must have (Jenkins/GitHub Actions/Bitbucket Pipelines or equivalent): triggering suites, reading failures, improving pipeline reliability
  • Performance testing — must have (JMeter/k6/Locust or equivalent): load/benchmark basics, interpreting results, flagging SLA/risk
  • Exposure to agentic development tools such as Cursor and Claude (or similar) for coding, test authoring, log/triage assistance, and documentation — used with human review and quality gates

We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work.

We are committed to providing an inclusive and accessible interview experience for all candidates. Please let us know if you require any accommodation during the interview process, and we will make every effort to meet your needs.

Read our Privacy Policy here: https://www.aidash.com/policy/privacy-policy/

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against AiDASH, Inc.'s own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on AiDASH, Inc.'s form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    AiDASH, Inc.'s answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.