LLM Internship (Remote)

LLM Internship (Remote) at Springer Capital · Remote only · 0 - 0 years · ₹3000 - ₹5000 / mo · Profitable · Remote only · Posted 2 Sep 2026

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

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Employment Type: Full-time

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About QubeLabs

QubeLabs is building the next generation of Enterprise AI Systems that transform workforce operations and intelligence for the financial services industry.

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You will work closely with the Head of AI, Research Partners and engineering teams to implement and operationalize LLM training approaches and build a reliable model improvement lifecycle:

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Maintain reproducible benchmark results and reports to track model strengths, limitations and progress.

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Define model release quality gates and ensure each major release meets agreed evaluation and benchmark criteria.

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3–5 years in Machine Learning, Deep Learning, NLP, Generative AI or related fields.

Hands-on experience training or fine-tuning LLMs using open-source foundation models.

Practical experience building training pipelines, preparing datasets and evaluating model performance.

Experience with GPU-based training; distributed training is an advantage.

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Posted by Javeriya Shaik

Remote, Bengaluru (Bangalore)

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About PGAGI:

We're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.

About the Role

We are at the forefront of building advanced AI systems — from fully autonomous agents that power intelligent customer interactions, to data analysis tools that deliver actionable business insights. This internship combines hands-on AI/ML engineering with robust backend development, giving you a complete picture of how production-grade AI systems are built, deployed, and scaled.

You will work across the full stack: designing and fine-tuning AI models on one end, and architecting the APIs, databases, and server-side infrastructure that bring those models to life on the other.

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Design, experiment with, and fine-tune large language models (LLMs) and NLP pipelines for real-world use cases.

Develop and iterate on prompt engineering strategies to optimise model performance and output quality.

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Build deep learning workflows including training, evaluation, and continuous improvement loops.

Collaborate on data collection, preprocessing, and feature engineering for ML pipelines.

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Architect and develop scalable RESTful APIs and GraphQL endpoints using Node.js / FastAPI / Express.

Build and maintain full-stack features using Next.js (App Router), integrating server-side rendering, API routes, and React components.

Design and manage relational and NoSQL databases (PostgreSQL, MongoDB, or equivalent); write efficient queries and manage schema migrations.

Implement authentication, authorisation, and security best practices (JWT, OAuth 2.0, role-based access control).

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Integrate AI/ML model inference endpoints into backend services, handling async processing, queuing, and latency optimisation.

Write clean, well-tested, and well-documented backend code; participate actively in code reviews.

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Use Git and GitHub for all version control workflows — branching strategies, pull requests, and code reviews.

Contribute to technical documentation, architecture decision records, and internal knowledge bases.

Duration & Compensation

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Stipend: Base ₹8,000/month — up to ₹15,000/month based on performance

Post-Internship: Full-time opportunity as AI/ML Engineer (₹6–8 LPA) based on performance

Perks & Benefits

Hands-on experience shipping real AI products used by actual customers.

Mentorship from senior engineers and industry experts in AI/ML and backend development.

Exposure to the full development lifecycle — from model training to production deployment.

Collaborative, innovative, and flexible work environment.

Accelerated growth path with a clear route to a full-time engineering role.

How to Apply

Interested candidates are invited to submit their resume and complete the assignment using

the link : https://pgagi.in/jobs/28df1e98-f0c3-4d58-9509-d5b1a4ea9754

Shortlisted candidates will be contacted for an interview.

Selection Process

Initial Screening: We'll review your application for evidence of your skills, experience, and a strong foundation in AI.

Task Assignment: Candidates need to submit assignment which is already being attached in careers page , designed to assess your practical skills.

Performance Review: Our experts will evaluate your task submission, with excellence in this stage being crucial for further consideration.

Interview: Impressive task performers will be invited for an interview to discuss their potential contribution to our team.

Onboarding: Successful candidates will join our team, with exciting projects ahead

Requirements

MUST-HAVE SKILLS

Strong proficiency in Python for AI/ML development and scripting.

Solid understanding of JavaScript / TypeScript; experience with Node.js and Next.js (or a strong willingness to learn quickly).

Familiarity with REST API design principles and at least one backend framework (Express, FastAPI, Django, etc.).

Working knowledge of at least one database system (PostgreSQL, MySQL, MongoDB).

Experience with Git and GitHub version control workflows.

Exposure to AI/ML platforms such as Hugging Face and OpenAI.

Understanding of prompt engineering concepts and the model fine-tuning process.

GOOD TO HAVE

Hands-on experience with Next.js App Router, React Server Components, or similar modern full-stack frameworks.

Familiarity with Docker, basic DevOps concepts, or cloud platforms (AWS, GCP, or Azure).

Experience with message queues (Redis, RabbitMQ) or background task processing.

Knowledge of LLM orchestration tools such as LangChain or LlamaIndex.

SOFT SKILLS & MINDSET

Strong problem-solving instincts and a genuine curiosity about AI technology.

Ability to own tasks end-to-end and communicate progress clearly.

Comfortable working in a fast-moving environment where requirements evolve.

A growth mindset — eager to learn, receive feedback, and level up continuously.

TECH YOU'LL WORK WITH

Python

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PostgreSQL

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GitHub

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Apply now to embark on a transformative career journey with PGAGI, where innovation and talent converge!

#artificialintelligence #Machinelearning #AI #AIML #LLM #FastAPI #NLP #openAI #AImodels #AIMLInternship #AIintern #Internship #aimlgraduate #Python

About PGAGI:

About the Role

You will work across the full stack: designing and fine-tuning AI models on one end, and architecting the APIs, databases, and server-side infrastructure that bring those models to life on the other.

Key Responsibilities

AI / ML ENGINEERING

Design, experiment with, and fine-tune large language models (LLMs) and NLP pipelines for real-world use cases.

Develop and iterate on prompt engineering strategies to optimise model performance and output quality.

Integrate and deploy models using Hugging Face and OpenAI platforms; evaluate open-source alternatives.

Build deep learning workflows including training, evaluation, and continuous improvement loops.

Collaborate on data collection, preprocessing, and feature engineering for ML pipelines.

BACKEND ENGINEERING

Architect and develop scalable RESTful APIs and GraphQL endpoints using Node.js / FastAPI / Express.

Build and maintain full-stack features using Next.js (App Router), integrating server-side rendering, API routes, and React components.

Design and manage relational and NoSQL databases (PostgreSQL, MongoDB, or equivalent); write efficient queries and manage schema migrations.

Implement authentication, authorisation, and security best practices (JWT, OAuth 2.0, role-based access control).

Containerise services with Docker and contribute to CI/CD pipelines for reliable, automated deployments.

Integrate AI/ML model inference endpoints into backend services, handling async processing, queuing, and latency optimisation.

Write clean, well-tested, and well-documented backend code; participate actively in code reviews.

VERSION CONTROL & COLLABORATION

Use Git and GitHub for all version control workflows — branching strategies, pull requests, and code reviews.

Contribute to technical documentation, architecture decision records, and internal knowledge bases.

Duration & Compensation

Duration: 6 Months

Stipend: Base ₹8,000/month — up to ₹15,000/month based on performance

Post-Internship: Full-time opportunity as AI/ML Engineer (₹6–8 LPA) based on performance

Perks & Benefits

Hands-on experience shipping real AI products used by actual customers.

Mentorship from senior engineers and industry experts in AI/ML and backend development.

Exposure to the full development lifecycle — from model training to production deployment.

Collaborative, innovative, and flexible work environment.

Accelerated growth path with a clear route to a full-time engineering role.

How to Apply

Interested candidates are invited to submit their resume and complete the assignment using

the link : https://pgagi.in/jobs/28df1e98-f0c3-4d58-9509-d5b1a4ea9754

Shortlisted candidates will be contacted for an interview.

Selection Process

Initial Screening: We'll review your application for evidence of your skills, experience, and a strong foundation in AI.

Task Assignment: Candidates need to submit assignment which is already being attached in careers page , designed to assess your practical skills.

Performance Review: Our experts will evaluate your task submission, with excellence in this stage being crucial for further consideration.

Interview: Impressive task performers will be invited for an interview to discuss their potential contribution to our team.

Onboarding: Successful candidates will join our team, with exciting projects ahead

Requirements

MUST-HAVE SKILLS

Strong proficiency in Python for AI/ML development and scripting.

Solid understanding of JavaScript / TypeScript; experience with Node.js and Next.js (or a strong willingness to learn quickly).

Familiarity with REST API design principles and at least one backend framework (Express, FastAPI, Django, etc.).

Working knowledge of at least one database system (PostgreSQL, MySQL, MongoDB).

Experience with Git and GitHub version control workflows.

Exposure to AI/ML platforms such as Hugging Face and OpenAI.

Understanding of prompt engineering concepts and the model fine-tuning process.

GOOD TO HAVE

Hands-on experience with Next.js App Router, React Server Components, or similar modern full-stack frameworks.

Familiarity with Docker, basic DevOps concepts, or cloud platforms (AWS, GCP, or Azure).

Experience with message queues (Redis, RabbitMQ) or background task processing.

Knowledge of LLM orchestration tools such as LangChain or LlamaIndex.

SOFT SKILLS & MINDSET

Strong problem-solving instincts and a genuine curiosity about AI technology.

Ability to own tasks end-to-end and communicate progress clearly.

Comfortable working in a fast-moving environment where requirements evolve.

A growth mindset — eager to learn, receive feedback, and level up continuously.

TECH YOU'LL WORK WITH

Python

Next.js

Node.js

FastAPI

LLMs / NLP

PostgreSQL

React

Docker

HuggingFace

OpenAI API

GitHub

REST / GraphQL

Apply now to embark on a transformative career journey with PGAGI, where innovation and talent converge!

#artificialintelligence #Machinelearning #AI #AIML #LLM #FastAPI #NLP #openAI #AImodels #AIMLInternship #AIintern #Internship #aimlgraduate #Python

AI Architecture Intern

at PGAGI

Posted by Javeriya Shaik

Bengaluru (Bangalore)

0 - 0.5 yrs

₹10000 - ₹20000 / mo

PyTorch

Python

Large Language Models (LLM) tuning

Retrieval Augmented Generation (RAG)

LoRA / QLoRA

+2 more

Job Title: AI Architecture Intern

Company: PGAGI Consultancy Pvt. Ltd.

Location: Remote

Employment Type: Internship

Position Overview

Duration: 6 months

Key Responsibilities:

AI System Architecture Design: Collaborate with the technical team to design robust, scalable, and high-performance AI system architectures aligned with client requirements.
Client-Focused Solutions: Analyze and interpret client needs to ensure architectural solutions meet expectations while introducing innovation and efficiency.
Methodology Development: Assist in the formulation and implementation of best practices, methodologies, and frameworks for sustainable AI system development.
Technology Stack Selection: Support the evaluation and selection of appropriate tools, technologies, and frameworks tailored to project objectives and future scalability.
Team Collaboration & Learning: Work alongside experienced AI professionals, contributing to projects while enhancing your knowledge through hands-on involvement.

Requirements:

Strong understanding of AI concepts, machine learning algorithms, and data structures.
Familiarity with AI development frameworks (e.g., TensorFlow, PyTorch, Keras).
Proficiency in programming languages such as Python, Java, or C++.
Demonstrated interest in system architecture, design thinking, and scalable solutions.
Up-to-date knowledge of AI trends, tools, and technologies.
Ability to work independently and collaboratively in a remote team environment

Perks:

- Hands-on experience with real AI projects.

- Mentoring from industry experts.

- A collaborative, innovative and flexible work environment

Compensation:

- Stipend: Base is INR 8000/- & can increase up to 20000/- depending upon performance matrix.

After completion of the internship period, there is a chance to get a full-time opportunity as an AI/ML engineer.

Preferred Experience:

Prior experience in roles such as AI Solution Architect, ML Architect, Data Science Architect, or AI/ML intern.
Exposure to AI-driven startups or fast-paced technology environments.
Proven ability to operate in dynamic roles requiring agility, adaptability, and initiative.

Job Title: AI Architecture Intern

Company: PGAGI Consultancy Pvt. Ltd.

Location: Remote

Employment Type: Internship

Position Overview

Duration: 6 months

Key Responsibilities:

AI System Architecture Design: Collaborate with the technical team to design robust, scalable, and high-performance AI system architectures aligned with client requirements.
Client-Focused Solutions: Analyze and interpret client needs to ensure architectural solutions meet expectations while introducing innovation and efficiency.
Methodology Development: Assist in the formulation and implementation of best practices, methodologies, and frameworks for sustainable AI system development.
Technology Stack Selection: Support the evaluation and selection of appropriate tools, technologies, and frameworks tailored to project objectives and future scalability.
Team Collaboration & Learning: Work alongside experienced AI professionals, contributing to projects while enhancing your knowledge through hands-on involvement.

Requirements:

Strong understanding of AI concepts, machine learning algorithms, and data structures.
Familiarity with AI development frameworks (e.g., TensorFlow, PyTorch, Keras).
Proficiency in programming languages such as Python, Java, or C++.
Demonstrated interest in system architecture, design thinking, and scalable solutions.
Up-to-date knowledge of AI trends, tools, and technologies.
Ability to work independently and collaboratively in a remote team environment

Perks:

- Hands-on experience with real AI projects.

- Mentoring from industry experts.

- A collaborative, innovative and flexible work environment

Compensation:

- Stipend: Base is INR 8000/- & can increase up to 20000/- depending upon performance matrix.

After completion of the internship period, there is a chance to get a full-time opportunity as an AI/ML engineer.

Preferred Experience:

Prior experience in roles such as AI Solution Architect, ML Architect, Data Science Architect, or AI/ML intern.
Exposure to AI-driven startups or fast-paced technology environments.
Proven ability to operate in dynamic roles requiring agility, adaptability, and initiative.

Artificial Intelligence with ML Intern

at LetsIntern

1 candid answer

Posted by Ashish Singh

Remote only

0 - 1 yrs

₹15000 - ₹18000 / mo

Artificial Intelligence (AI)

Machine Learning (ML)

About Us

Corporate Web Solutions provides technology and digital transformation solutions with an emphasis on emerging technologies including artificial intelligence and machine learning.

Role Overview

As an AI & Machine Learning Intern, you'll gain practical experience working with datasets, machine learning models, AI concepts, and Python-based tools.

Key Responsibilities

Prepare and analyze datasets.
Assist in developing machine learning models.
Experiment with AI and ML algorithms.
Evaluate model performance.
Work with Python and relevant libraries.
Participate in practical AI/ML projects.

Requirements

Basic Python programming knowledge.
Understanding of machine learning fundamentals.
Basic knowledge of data handling.
Familiarity with NumPy and Pandas is a plus.
Eagerness to learn AI technologies.

Perks

Certificate of Internship
Flexible work hours
Mentorship and real project exposure
Potential for PPO
Letter of Recommendation
Performance-Based Stipend available up to ₹18,000/month

About Us

Corporate Web Solutions provides technology and digital transformation solutions with an emphasis on emerging technologies including artificial intelligence and machine learning.

Role Overview

As an AI & Machine Learning Intern, you'll gain practical experience working with datasets, machine learning models, AI concepts, and Python-based tools.

Key Responsibilities

Prepare and analyze datasets.
Assist in developing machine learning models.
Experiment with AI and ML algorithms.
Evaluate model performance.
Work with Python and relevant libraries.
Participate in practical AI/ML projects.

Requirements

Basic Python programming knowledge.
Understanding of machine learning fundamentals.
Basic knowledge of data handling.
Familiarity with NumPy and Pandas is a plus.
Eagerness to learn AI technologies.

Perks

Certificate of Internship
Flexible work hours
Mentorship and real project exposure
Potential for PPO
Letter of Recommendation
Performance-Based Stipend available up to ₹18,000/month

ML Engineer

at Leegality

Posted by Sonal Sethi

Remote only

3 - 5 yrs

₹17L - ₹18L / yr

Machine Learning (ML)

Python

PyTorch

Computer Vision

Natural Language Processing (NLP)

+2 more

This is a remote position.

About Leegality:

Leegality works with large Indian businesses to digitally transform critical compliance processes in a fast, easy and secure way.

We have multiple products across 2 categories:

Document Infrastructure:

Products that help businesses build paperless processes at scale:

Document Execution Workflow: A unified platform for businesses to digitally execute (eSign, eStamp, Template Pre-fill, Document Fraud Prevention etc.) agreements, forms and other documents in a compliant way. Currently in use by 2000+ Indian businesses from giants like HDFC and SBI Cards to high-growth disruptors like goDigit and Cars24.
Contract Management: An AI-powered platform for businesses to quickly review, negotiate and take action on contract
Signstation: A simple platform for businesses to digitally sign simple documents like invoices, policies and letters in a cost effective manner

Consent Infrastructure:

Consentin: An end-to-end DPDP and Privacy compliance platform for Indian businesses
Consentin Lens: A data discovery platform for businesses to identify the personal data they collect and store.

If you’re interested in building mission critical software that operates at population scale (75 million + Indians have signed at least one document through Leegality) then join Leegality.

Curious about our impact? Explore our customer success stories: leegality.com/case-studies

Our Culture

At Leegality, trust, ownership, transparency, and having fun while doing meaningful work are core to how we operate — not just values on paper. Our team rated us an incredible 97 eNPS for FY 2023–24 — the highest among 175+ startups surveyed.

We focus deeply on helping our people grow and stay motivated. Some of the perks you’ll enjoy:

Flexible working hours
Hybrid work setup
Bi-annual performance appraisals
A culture that rewards initiative, curiosity, and impact

If you're looking for a place where you can make a real difference while working with smart, driven, and genuinely nice people, welcome to Leegality.

Location: Hybrid

Job Brief:

As a Machine Learning Engineer specializing in Computer Vision (CV) and Natural Language Processing (NLP), you will develop solutions to interesting technical problems, exploring exciting growth opportunities and having a real impact on our product, particularly focusing on document and content intelligence.
To ensure success, you should demonstrate solid data science knowledge and experience in a related ML, CV, or NLP role. A first-class engineer will be someone whose expertise enhances our systems for document intelligence and content processing

Responsibilities:

Designing machine learning systems, self-running artificial intelligence (AI) software, and specialized models for Computer Vision and Natural Language Processing applications.
Transforming data science prototypes and applying appropriate deep learning algorithms and tools to text and image/document data.
Solving complex CV and NLP problems with multi-layered data types, such as image/document classification, information extraction, semantic search, and object detection.
Optimizing existing machine learning models, with a focus on high-performance model deployment for CV and NLP tasks.
Developing ML algorithms (including large language models/LLMs and computer vision models) to analyze huge volumes of historical text, image, and document data to make predictions and automate workflows.
Running tests, performing statistical analysis, and interpreting test results for CV/NLP model performance.
Documenting machine learning processes, model architectures, and data pipelines.
Keeping abreast of developments in machine learning, Computer Vision, and Natural Language Processing.

Requirements:

3+ years of relevant experience in Machine Learning Engineering, with a strong focus on Computer Vision and/or Natural Language Processing.
Advanced proficiency with Python.
Extensive knowledge of ML frameworks, libraries (e.g., PyTorch, Transformers), data structures, data modeling, and software architecture.
Experience with building and maintaining scalable RESTful APIs (e.g., FastAPI).
In-depth knowledge of mathematics, statistics, deep learning (CNNs, RNNs, Transformers), and algorithms.
Superb analytical and problem-solving abilities, especially for unstructured data challenges.
Great communication and collaboration skills.
Excellent time management and organizational abilities.
Experience with cloud platforms (e.g., AWS) for model deployment and MLOps.

Recruitment Process:

Our hiring process combines AI-powered evaluations with structured interviews to ensure a fair and seamless experience.
You will be contacted via email with the next steps upon being shortlisted.
The process may include Assessments, AI-enabled interviews, and In-Person Interviews with our team.
Final selection and CTC will be based on your overall performance and experience.

Apply directly through our career page: https://careers.leegality.com/jobs/Careers

For more information about us please visit our:

Our Company and Culture: https://bit.ly/3Iqm5SB

Our Website: www.leegality.com/

Our LinkedIn Page: www.linkedin.com/company/leegality/

Leegality's Privacy Notice: https://www.leegality.com/employee-privacy-notice

This is a remote position.

About Leegality:

Leegality works with large Indian businesses to digitally transform critical compliance processes in a fast, easy and secure way.

We have multiple products across 2 categories:

Document Infrastructure:

Products that help businesses build paperless processes at scale:

Document Execution Workflow: A unified platform for businesses to digitally execute (eSign, eStamp, Template Pre-fill, Document Fraud Prevention etc.) agreements, forms and other documents in a compliant way. Currently in use by 2000+ Indian businesses from giants like HDFC and SBI Cards to high-growth disruptors like goDigit and Cars24.
Contract Management: An AI-powered platform for businesses to quickly review, negotiate and take action on contract
Signstation: A simple platform for businesses to digitally sign simple documents like invoices, policies and letters in a cost effective manner

Consent Infrastructure:

Consentin: An end-to-end DPDP and Privacy compliance platform for Indian businesses
Consentin Lens: A data discovery platform for businesses to identify the personal data they collect and store.

If you’re interested in building mission critical software that operates at population scale (75 million + Indians have signed at least one document through Leegality) then join Leegality.

Curious about our impact? Explore our customer success stories: leegality.com/case-studies

Our Culture

We focus deeply on helping our people grow and stay motivated. Some of the perks you’ll enjoy:

Flexible working hours
Hybrid work setup
Bi-annual performance appraisals
A culture that rewards initiative, curiosity, and impact

If you're looking for a place where you can make a real difference while working with smart, driven, and genuinely nice people, welcome to Leegality.

Location: Hybrid

Job Brief:

As a Machine Learning Engineer specializing in Computer Vision (CV) and Natural Language Processing (NLP), you will develop solutions to interesting technical problems, exploring exciting growth opportunities and having a real impact on our product, particularly focusing on document and content intelligence.
To ensure success, you should demonstrate solid data science knowledge and experience in a related ML, CV, or NLP role. A first-class engineer will be someone whose expertise enhances our systems for document intelligence and content processing

Responsibilities:

Designing machine learning systems, self-running artificial intelligence (AI) software, and specialized models for Computer Vision and Natural Language Processing applications.
Transforming data science prototypes and applying appropriate deep learning algorithms and tools to text and image/document data.
Solving complex CV and NLP problems with multi-layered data types, such as image/document classification, information extraction, semantic search, and object detection.
Optimizing existing machine learning models, with a focus on high-performance model deployment for CV and NLP tasks.
Developing ML algorithms (including large language models/LLMs and computer vision models) to analyze huge volumes of historical text, image, and document data to make predictions and automate workflows.
Running tests, performing statistical analysis, and interpreting test results for CV/NLP model performance.
Documenting machine learning processes, model architectures, and data pipelines.
Keeping abreast of developments in machine learning, Computer Vision, and Natural Language Processing.

Requirements:

3+ years of relevant experience in Machine Learning Engineering, with a strong focus on Computer Vision and/or Natural Language Processing.
Advanced proficiency with Python.
Extensive knowledge of ML frameworks, libraries (e.g., PyTorch, Transformers), data structures, data modeling, and software architecture.
Experience with building and maintaining scalable RESTful APIs (e.g., FastAPI).
In-depth knowledge of mathematics, statistics, deep learning (CNNs, RNNs, Transformers), and algorithms.
Superb analytical and problem-solving abilities, especially for unstructured data challenges.
Great communication and collaboration skills.
Excellent time management and organizational abilities.
Experience with cloud platforms (e.g., AWS) for model deployment and MLOps.

Recruitment Process:

Our hiring process combines AI-powered evaluations with structured interviews to ensure a fair and seamless experience.
You will be contacted via email with the next steps upon being shortlisted.
The process may include Assessments, AI-enabled interviews, and In-Person Interviews with our team.
Final selection and CTC will be based on your overall performance and experience.

Apply directly through our career page: https://careers.leegality.com/jobs/Careers

For more information about us please visit our:

Our Company and Culture: https://bit.ly/3Iqm5SB

Our Website: www.leegality.com/

Our LinkedIn Page: www.linkedin.com/company/leegality/

Leegality's Privacy Notice: https://www.leegality.com/employee-privacy-notice

Product Engineer

at Prentis

Posted by Anika fromTitanHolding

Bengaluru (Bangalore)

3 - 5 yrs

₹25L - ₹30L / yr

Large Language Models (LLM)

AI Agents

Python

Retrieval Augmented Generation (RAG)

REST APIs

+3 more

Product Engineer — Role Summary

We are looking for a Product Engineer to build user-facing products that combine AI capabilities with practical applications. You will work at the intersection of software engineering and AI, developing autonomous, agent-driven systems that solve complex educational and research problems.

Key Responsibilities:

Product Development: Design, build, and deploy production-ready applications powered by LLMs and AI agents.
Data Engineering: Build scalable ETL/ELT pipelines to process structured and unstructured data, including text and audio, for RAG and model fine-tuning.
Agentic Workflows: Develop multi-step AI agents with tool calling, APIs, databases, search, reasoning, and memory.
Rapid Prototyping: Turn ideas and research concepts into interactive, production-ready applications.
AI Integration: Use frameworks such as LangChain, LlamaIndex, AutoGen, or custom orchestrators to integrate AI into scalable systems.
User Experience: Transform raw AI outputs into reliable, intuitive, and responsive user experiences.
Collaboration: Work closely with ML researchers and data engineers to integrate custom and fine-tuned models.
Observability: Monitor agent behavior, manage edge cases, reduce hallucinations, and improve reliability in production.

The ideal candidate combines strong software engineering, AI/LLM expertise, data engineering, and product thinking, with the ability to take an AI concept from prototype to production.

Product Engineer — Role Summary

Key Responsibilities:

Product Development: Design, build, and deploy production-ready applications powered by LLMs and AI agents.
Data Engineering: Build scalable ETL/ELT pipelines to process structured and unstructured data, including text and audio, for RAG and model fine-tuning.
Agentic Workflows: Develop multi-step AI agents with tool calling, APIs, databases, search, reasoning, and memory.
Rapid Prototyping: Turn ideas and research concepts into interactive, production-ready applications.
AI Integration: Use frameworks such as LangChain, LlamaIndex, AutoGen, or custom orchestrators to integrate AI into scalable systems.
User Experience: Transform raw AI outputs into reliable, intuitive, and responsive user experiences.
Collaboration: Work closely with ML researchers and data engineers to integrate custom and fine-tuned models.
Observability: Monitor agent behavior, manage edge cases, reduce hallucinations, and improve reliability in production.

The ideal candidate combines strong software engineering, AI/LLM expertise, data engineering, and product thinking, with the ability to take an AI concept from prototype to production.

Junior AI Engineer

Service Co

Agency job

via Vikash Technologies by Rishika Teja

Pune

4 - 6 yrs

₹6L - ₹16L / yr

Artificial Intelligence (AI)

Machine Learning (ML)

Python

Javascript

Large Language Models (LLM)

Hiring for Junior AI Engineer

Exp : 4 - 6 yrs

Edu : BE/B.Tech/MCA

Work Location : Pune WFO

Skills :

- Min 3 years strong programming experience in Python is a MUST

- Min 2 years hands-on experience in AI with LLMs, RAG pipelines, and AI frameworks

- Experience with cloud platforms (AWS/Azure/GCP)

Hiring for Junior AI Engineer

Exp : 4 - 6 yrs

Edu : BE/B.Tech/MCA

Work Location : Pune WFO

Skills :

- Min 3 years strong programming experience in Python is a MUST

- Min 2 years hands-on experience in AI with LLMs, RAG pipelines, and AI frameworks

- Experience with cloud platforms (AWS/Azure/GCP)

Artificial Intelligence with ML Intern

at SkillsecureX

Posted by Saurav Singh

Remote only

0 - 1 yrs

₹12000 - ₹18000 / mo

Artificial Intelligence (AI)

Machine Learning (ML)

About the Internship

SkillSecure X is seeking passionate Artificial Intelligence & Machine Learning (AI/ML) Interns who are eager to develop practical skills in machine learning, deep learning, and AI applications. Interns will work on guided projects, gain hands-on experience with real-world datasets, and learn industry-standard AI tools and techniques.

Responsibilities

Assist in developing AI and Machine Learning models.
Work with Python and popular ML libraries.
Prepare, clean, and analyze datasets.
Perform data preprocessing and model evaluation.
Build basic predictive and classification models.
Document project progress and complete weekly assignments.

Required Skills

Basic knowledge of Python programming.
Understanding of Machine Learning fundamentals.
Familiarity with Data Science concepts.
Knowledge of libraries such as NumPy, Pandas, or Scikit-learn is a plus.
Strong analytical and problem-solving skills.

Eligibility

Undergraduate or postgraduate students.
Recent graduates.
Students pursuing Computer Science, Artificial Intelligence, Data Science, Information Technology, Engineering, or related disciplines.

Benefits

Hands-on AI & ML project experience.
Mentor-guided learning.
Internship Completion Certificate.
Letter of Recommendation (based on performance).
Portfolio-building opportunities.
Flexible remote internship.

About the Internship

Responsibilities

Assist in developing AI and Machine Learning models.
Work with Python and popular ML libraries.
Prepare, clean, and analyze datasets.
Perform data preprocessing and model evaluation.
Build basic predictive and classification models.
Document project progress and complete weekly assignments.

Required Skills

Basic knowledge of Python programming.
Understanding of Machine Learning fundamentals.
Familiarity with Data Science concepts.
Knowledge of libraries such as NumPy, Pandas, or Scikit-learn is a plus.
Strong analytical and problem-solving skills.

Eligibility

Undergraduate or postgraduate students.
Recent graduates.
Students pursuing Computer Science, Artificial Intelligence, Data Science, Information Technology, Engineering, or related disciplines.

Benefits

Hands-on AI & ML project experience.
Mentor-guided learning.
Internship Completion Certificate.
Letter of Recommendation (based on performance).
Portfolio-building opportunities.
Flexible remote internship.

Python/ML Internship

at TechCiti Software Consulting Pvt Ltd

Posted by Preeti B

Remote only

0 - 0 yrs

₹2000 - ₹2500 / mo

HTML/CSS

Javascript

Python

Machine Learning (ML)

Data Science

We are looking for motivated and enthusiastic candidates for a Python and Machine Learning Internship. This internship provides an opportunity to gain practical experience in Python programming, data analysis, and machine learning through hands-on projects and industry-oriented tasks.