Isro Layout Karnataka Backend developer intern Jobs – 26 Open Jobs Today

DS/ML Intern
Epifi Technologies —Bengaluru, Karnataka
- Computer Science
- Research
- Master's degree
9d
Full Stack developer - SDE II
KhataBook —Bengaluru, Karnataka
- Full-time
- System design
- Java
- Databases
17h
Software Engineer
Digitap.AI Enterprise Solutions —Bengaluru, Karnataka
- Full-time
- Java
- SQL
- AWS
Senior Software Developer - Full Stack
DNEG —Bengaluru, Karnataka
- Computer Science
- Bachelor's degree
- JavaScript
Frontend SDE 2
Twinleaves Retail Ecommerce India —Bengaluru, Karnataka
- Full-time
- Engineering
- AWS
- Bachelor's degree
We’re Hiring: React Native App Development Intern
Lohani Technologies —Bengaluru, Karnataka
- ₹5,000 a month
- Hybrid work
- JavaScript
- APIs
- AI
- Work from home
- Flexible schedule
Quick apply
Senior Software Developer - Front End
DNEG —Bengaluru, Karnataka
- Computer Science
- Bachelor's degree
- JavaScript

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DS/ML Intern

Epifi Technologies
Bengaluru, Karnataka

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Job details

Internship
9 days ago

Qualifications

Statistics
Law
Computer Science
Research
Master's degree
SQL
APIs
AI
Python

Full job description

A builder mindset is the core of this role and where you'll spend most of your time. But we're a small team building a whole product, not a research lab. The best person here treats ML systems as their primary craft while staying willing to do whatever the product needs — thinking through the product itself, shipping backend or frontend code, untangling data pipelines. We're looking for someone energized by the breadth, not someone who wants to stay in their lane.

What you'll work on

Evaluation systems for AI features

Help build the eval backbone our AI features ship against — failure taxonomies, LLM-as-judge rubrics, golden datasets, calibration against human judgment.
Learn what it takes to keep automated scores honest as models and prompts change. A feature with no eval has no quality floor.

Model routing & inference economics

Get hands-on with how we route work across models — balancing cost, quality, and latency per task.
Help run the experiments that justify those choices and catch regressions.

Scoring, measurement & signal quality

Work on turning noisy, real-world signals into scores you can actually trust — grounded in real statistical rigor, not vibes.
Help move heuristic-driven approaches toward calibrated, monitored systems.

MLOps & production

Get exposure to the full lifecycle — feature pipelines, model versioning, rollout, monitoring for drift and silent quality decay.
Work alongside engineering to see how models get served reliably at low latency.

What we're looking for

Must have

Currently pursuing or recently completed a degree in CS, DS, ML, or a related field.
Some hands-on DS/ML experience — coursework, personal projects, research, or a prior internship — where you've built and run something end to end, not just notebooks.
Comfort with Python and working SQL knowledge.
Basic grounding in applied statistics — you can explain what a metric means and when it might be misleading.
A builder's instinct — genuinely curious about product decisions, backend, or frontend, not just the modeling layer.
Some exposure to LLMs — prompting, using APIs, or experimenting with model behavior.

Nice to have

Any exposure to evaluation or observability tooling for LLM features.
Coursework or projects in information retrieval, entity-matching, or record-linkage.
Interest in developer-productivity, code analytics, or DevEx data.

We aspire to create an inclusive culture of diverse people not just because it's the right thing to do but because heterogeneity inspires us and is more fun! We employ people solely on merit and do not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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