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

Open nowPosted yesterday

Junior AI Engineer – Applied AI (Non-Clinical)

Teleradiology Solutions20 open roles

Where
Bangalore North, Karnataka, India
Get the CV for this job

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

Your applicationOpen nowJunior AI Engineer – Applied AI (Non-Clinical)Teleradiology Solutions · Bangalore North, Karnataka, 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 Teleradiology Solutions'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.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Teleradiology Solutions postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: posted yesterday

Teleradiology Solutions median: 1 days open

The posting

About Teleradiology Solutions / Daignostix Teleradiology Solutions (TRS), founded in 2002 by two Yale-trained physicians and headquartered in Ardmore, PA, provides 24x7 diagnostic radiology reporting to over 150 hospitals across 21 countries, through a network of radiologists (US, Indian certified) and technology-driven workflows. Daignostix, the AI arm of TRS based in Whitefield, Bengaluru, builds clinical AI for medical imaging and healthcare workflows. TRS also maintains an active academic and research focus, including AI in radiology (www.radguru.net). Role Summary Daignostix builds the AI behind TRS's 24x7 teleradiology operations and the products used by radiologists, hospital partners and internal teams. Beyond clinical imaging models, this includes algorithms that route and prioritise cases, predict TAT and forecast volumes and radiologist coverage, along with mobile applications that put these capabilities in users' hands. As a Junior AI Engineer – Applied AI (Non-Clinical), you will build and ship operational ML algorithms and AI-enabled mobile features end to end under the guidance of senior engineers, using AI-assisted development tools such as Claude Code to move quickly without compromising quality. This role does not work on clinical diagnostic models. Roles and Responsibilities ● Operational algorithms. Build, train and evaluate models for case routing and worklist prioritisation, TAT prediction, radiologist scheduling and RVU/volume forecasting, and anomaly detection on operational data. ● Mobile AI features. Build AI-enabled features in mobile apps (React Native, Flutter or native iOS/Android) and integrate them with backend model services. ● On-device inference. Convert, optimize, and deploy machine learning models such as LightGBM, XGBoost, and scikit-learn models for production use, balancing accuracy, inference latency, memory usage, and model size. ● Data and evaluation. Build data pipelines from operational systems, define success metrics with operations stakeholders, and measure model impact against baselines in production. ● AI-assisted development. Use Claude Code and similar agentic coding tools in day-to-day development, while owning the review, testing and correctness of everything you ship. ● Production engineering. Package models as tested services (Python, Docker, FastAPI) with unit and regression tests, logging and monitoring. Senior engineers lead architecture and deployment. ● Stakeholder collaboration. Work with operations, product and engineering teams to turn workflow problems into measurable AI solutions. Requirements Must-have: ● Education. B.Tech/B.E./M.Tech/MS/M.Sc. from an IIT, IISc, IIIT, BITS Pilani or a comparably selective institution, in Computer Science, Electrical/Electronics Engineering, AI, Data Science, Mathematics, Statistics or a related quantitative field, with a strong academic record. ● Experience. 2-4 years of hands-on software and ML engineering, including mobile applications and ML models that reached real users. ● Proof of building. At least one mobile app or ML system that you personally built and shipped to real users, and can defend in technical depth. ● Programming. Strong Python skills with hands-on experience in machine learning frameworks and libraries such as scikit-learn, XGBoost, and LightGBM, along with proficiency in building and deploying production-grade ML solutions. ● AI-assisted development. Regular use of Claude Code or similar agentic coding tools on real projects, with sound judgement in reviewing and testing AI-generated code. ● ML fundamentals. Tabular, time-series and optimisation problems: feature engineering, gradient-boosted models, forecasting, classification metrics and experimental design. ● Engineering basics. Linux, Git, Docker, REST APIs, pytest and basic CI/CD. Good-to-have: ● On-device ML. Experience deploying and optimizing machine learning models such as LightGBM, XGBoost, and scikit-learn models, including model compression, inference optimization, and efficient production deployment. ● Operations research. Scheduling, queueing or routing optimisation (e.g., OR-Tools). ● LLMs and cloud. LLM APIs, RAG or agent workflows, and one of AWS, Azure or GCP. ● Shipping experience. App store releases, mobile analytics and exposure to healthcare workflows. Key Skills Python | scikit-learn | XGBoost / LightGBM | Time-Series Forecasting | Optimisation / OR-Tools | React Native / Flutter | Swift / Kotlin | PyTorch | Core ML / TensorFlow Lite / ExecuTorch | Claude Code / AI-Assisted Development | FastAPI / REST APIs | Docker | Git | pytest | CI/CD | MLflow / Weights & Biases Why Join Daignostix  ● AI that runs the operation. Your algorithms directly shape how cases flow across a 24x7 global teleradiology service. ● Ship to real users. Build mobile and backend features used by radiologists, hospital partners and internal teams. ● Modern tooling with mentorship. Work with Claude Code and current AI tooling, with senior technical review and visibility from build to production.

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 Teleradiology Solutions'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 Teleradiology Solutions'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

    Teleradiology Solutions'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.