LLM Internship (Remote)

at Springer Capital

LLM Internship (Remote)

Springer Capital

Company

Home

LLM Internship (Remote)

at Springer Capital

Posted by Andrew Rose

0 - 0 yrs

₹3000 - ₹5000 / mo

Remote only

Skills

Python

About the Role

We are looking for enthusiastic LLM Interns to join our team remotely for a 3-month internship. This role is ideal for students or graduates interested in AI, Natural Language Processing (NLP), and Large Language Models (LLMs). You will gain hands-on experience working with cutting-edge AI tools, prompt engineering, and model fine-tuning. While this is an unpaid internship, interns who successfully complete the program will receive a Completion Certificate and a Letter of Recommendation.

Responsibilities

Research and experiment with LLMs, NLP techniques, and AI frameworks.
Design, test, and optimize prompts and workflows for different use cases.
Assist in fine-tuning or integrating LLMs for internal projects.
Evaluate model outputs and improve accuracy, efficiency, and reliability.
Collaborate with developers, data scientists, and product managers to implement AI-driven features.
Document experiments, results, and best practices.

Requirements

Strong interest in Artificial Intelligence, NLP, and Machine Learning.
Familiarity with Python and ML libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers).
Basic understanding of LLM concepts such as embeddings, fine-tuning, and inference.
Knowledge of APIs (OpenAI, Anthropic, Hugging Face, etc.) is a plus.
Good analytical and problem-solving skills.
Ability to work independently in a remote environment.

What You’ll Gain

Practical exposure to state-of-the-art AI tools and LLMs.
Mentorship from AI and software professionals.
Completion Certificate upon successful completion.
Letter of Recommendation based on performance.
Experience to showcase in research projects, academic work, or future AI roles.

Internship Details

Duration: 3 months
Location: Remote (Work from Home)
Stipend: Unpaid
Perks: Completion Certificate + Letter of Recommendation

About the Role

Responsibilities

Research and experiment with LLMs, NLP techniques, and AI frameworks.
Design, test, and optimize prompts and workflows for different use cases.
Assist in fine-tuning or integrating LLMs for internal projects.
Evaluate model outputs and improve accuracy, efficiency, and reliability.
Collaborate with developers, data scientists, and product managers to implement AI-driven features.
Document experiments, results, and best practices.

Requirements

Strong interest in Artificial Intelligence, NLP, and Machine Learning.
Familiarity with Python and ML libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers).
Basic understanding of LLM concepts such as embeddings, fine-tuning, and inference.
Knowledge of APIs (OpenAI, Anthropic, Hugging Face, etc.) is a plus.
Good analytical and problem-solving skills.
Ability to work independently in a remote environment.

What You’ll Gain

Practical exposure to state-of-the-art AI tools and LLMs.
Mentorship from AI and software professionals.
Completion Certificate upon successful completion.
Letter of Recommendation based on performance.
Experience to showcase in research projects, academic work, or future AI roles.

Internship Details

Duration: 3 months
Location: Remote (Work from Home)
Stipend: Unpaid
Perks: Completion Certificate + Letter of Recommendation

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About Springer Capital

Founded :

2015

Type :

Products & Services

Size :

100-1000

Stage :

Profitable

About

N/A

Company social profiles

N/A

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Competitive pay based on the work you do here and not your previous salary
Health coverage for you and your family in many locations
Ability to craft your calendar with flexible locations and schedules for many roles
Generous number of vacation days each year
Double your charitable giving - We match up to $1500 (or local currency equivalent)
Up to 40 hours each year to use toward volunteer projects you love
Embracing parenthood with minimum of 16 weeks of parental leave

Support our Corporate functions with all elements of general compensation including job evaluation & classification within the Elastic job infrastructure
Create and present comprehensive analysis to assess compensation issues in the business and provide market competitive and business aligned solutions using internal and external benchmark data sources
Partner and provide thought leadership to HR Business Partners, Recruiting, and line management on the administration of all Elastic compensation programs and policies
Assist in the planning and management of annual compensation processes and programs (e.g. Annual Compensation Cycle)
Design and build compensation metrics, reports, and tools to inform compensation program decisions and forecast, report, and/or analyze compensation business outcomes
Partner with other Global Compensation team members and broader HR team in the design, development and maintenance of various compensation policies and programs
Evangelize Elastic’s Compensation and Total Rewards Strategy

What You Bring Along:

A real passion for fast-paced and dynamic environments, the ability to thrive in ambiguity and devote a diversified global view to all you do
Experience with compensation design and administration
A dedication to think big, use data to drive strategy, challenge convention, and potentially reinvent how work is done
A proficiency in optimizing compensation processes and programs with a keen understanding of the balance between structure and flexibility
The dexterity to balance critical, long term thinking about how we scale and optimize our rapidly growing employee base in tandem with the development and execution of global people strategies

And some of the basics:

Bachelor's Degree and 5+ years of related experience; or 3 years with a Master’s degree
3+ years of experience in compensation analysis, financial analysis, statistical analysis, and/or data modeling is required
Demonstrable mastery with Excel and Google suite
Experience working with HR Business Partners or similar in a business facing role to solve compensation challenges.
Experience working in a hyper-growth, global organization and exposure to compensation programs at scale
Strategic, analytical, critical thinker who isn’t afraid to get into the details; real passion for problem solving
Excellent written and verbal communication and presentation skills
High degree of integrity and honesty; ability to exercise confidentiality and neutrality in complex and sensitive situations
A sense of humor and ability to roll with the punches definitely a plus.

Competitive pay based on the work you do here and not your previous salary
Health coverage for you and your family in many locations
Ability to craft your calendar with flexible locations and schedules for many roles
Generous number of vacation days each year
Double your charitable giving - We match up to $1500 (or local currency equivalent)
Up to 40 hours each year to use toward volunteer projects you love
Embracing parenthood with minimum of 16 weeks of parental leave

Engineering Manager

at LendingKart

5 recruiters

Posted by vignesh N

Bengaluru (Bangalore)

9 - 15 yrs

₹45L - ₹50L / yr

Android Development

Kotlin

React Native

Java

Spring Boot

Key Responsibilities:

Design and build advanced applications for the Android platform

- Collaborate with cross-functional teams to define, design, and ship new features

- Work with outside data sources and APIs

- Unit-test code for robustness, including edge cases, usability, and general reliability

- Work on bug fixing and improving application performance

- Continuously discover, evaluate, and implement new technologies to maximize development efficiency

- Translate designs and wireframes into high quality code

- Understand business requirements and translate them into technical requirements

- Design, build, and maintain high performance, reusable, and reliable Java code

- Ensure the best possible performance, quality, and responsiveness of the application

- Identify and correct bottlenecks and fix bugs

- Help maintain code quality, organization, and automatization

- Continuously discover, evaluate, and implement new technologies to maximize development efficiency.

- Unit test code for robustness, including edge cases, usability, and general reliability using JUnit, Mocikto or Espresso.

- Lead and Mentor Android developers

Required Skills and Experience :

- 6+ year of proven software development experience and Android applications development

in Android Kotlin and react native based Hybrid app development

- BS/MS degree in Computer Science, Engineering or a related subject

- Experienced in Android Kotlin and react native based Hybrid app development

- Experience with Android SDK, different versions of Android, and how to deal with different screen sizes

- Experience working with remote data via REST and JSON

- Experienced in Client server programming (RESTful APIs) to connect Android applications to backend services

- Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies

- Solid understanding of the full mobile development life cycle.

- Strong knowledge of Android UI design principles, patterns, and best practices

- Experience in Android Studio IDE and tools like Android Device Monitor, Logcat

- Experience with offline storage, threading, and performance tuning

- Knowledge of the open-source Android ecosystem and the libraries available for common tasks

- Proficient in using code versioning tools, such as Git, SVN

- Strong CS fundamentals and a good working knowledge of algorithms and data structures.

- Strong on OOPS and Java concepts

- Proficient in integration of third party libraries OkHttp, Retrofit, ButterKnife, Image caching libraries

- Working knowledge of RxJava, RxAndroid

- Expert in debugging, troubleshooting, memory optimization, performance and scalability of mobile app.

- Apk size and battery optimization

- Strong design/development experience working on at least 4 Mobile application apps from Scartch

- Has worked on MVP, MVVM design patterns for android applications

- Has experience on working with web views in Android and customizing them for different features

- Follows coding guidelines, Reviews code for peers and juniors.

- Understands and implement security guidelines

- Experience in localization