819 AI Applications jobs in Delhi

• Assist in collecting, cleaning, and preparing large datasets for analysis.
• Support the development and implementation of machine learning models and algorithms.
• Conduct exploratory data analysis to identify trends, patterns, and insights.
• Help in training and evaluating machine learning models using various techniques.
• Collaborate with senior data scientists and engineers on project tasks.
• Create visualizations and reports to communicate findings to stakeholders.
• Participate in team meetings and contribute ideas for project improvements.
• Learn and apply new data science tools, techniques, and methodologies.
• Assist in the documentation of data science processes and results.
• Gain practical experience with programming languages like Python or R and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Foundational knowledge of statistics, probability, and machine learning concepts.
• Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
• Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy).
• Basic understanding of machine learning algorithms (e.g., regression, classification, clustering).
• Strong analytical and problem-solving skills.
• Excellent communication skills and the ability to work effectively in a remote team.
• Eagerness to learn and adapt to new technologies and challenges.
• Previous internship or project experience in data science is a plus.
• Genuine interest in Artificial Intelligence and Machine Learning.

This role is for one of the Weekday's clients
Min Experience: 4 years

Location: Gurgaon, NCR

JobType: full-time

We are seeking a highly skilled and innovative
AI Engineer
with 4-8 years of hands-on experience in artificial intelligence, machine learning, and deep learning. This role requires a professional who can design, build, and deploy AI-driven solutions that solve real-world problems, optimize business processes, and create value across products and services. The ideal candidate will have strong expertise in AI frameworks, algorithms, and tools, along with the ability to work collaboratively in a dynamic, fast-paced environment.

Requirements
Key Responsibilities

• Design, develop, and deploy scalable AI/ML models and algorithms to support various business and product requirements.
• Apply advanced machine learning, natural language processing (NLP), computer vision, or reinforcement learning techniques to address complex challenges.
• Perform data preprocessing, feature engineering, and exploratory data analysis to ensure high-quality datasets for model training.
• Optimize machine learning models for accuracy, efficiency, and performance in production environments.
• Collaborate with cross-functional teams including data scientists, software engineers, and product managers to deliver end-to-end AI solutions.
• Implement MLOps best practices for versioning, monitoring, retraining, and deploying models in production.
• Conduct research and stay updated on the latest developments in AI/ML technologies, frameworks, and industry trends.
• Build proof-of-concepts (POCs) to evaluate new approaches and demonstrate AI capabilities for business use cases.
• Document solutions, methodologies, and best practices for reusability and knowledge sharing within the team.
• Ensure ethical and responsible use of AI by incorporating fairness, transparency, and explainability into solutions.

Key Skills & Competencies

• Strong programming skills in Python (mandatory) and familiarity with libraries such as TensorFlow, PyTorch, scikit-learn, Keras, OpenCV, NLTK, or Hugging Face Transformers.
• Experience with machine learning algorithms, deep learning architectures (CNNs, RNNs, Transformers, GANs), and NLP techniques.
• Solid understanding of data structures, algorithms, probability, and statistics as applied to AI solutions.
• Proficiency in working with large datasets, data pipelines, and data preprocessing techniques.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and AI/ML services (e.g., SageMaker, Vertex AI).
• Knowledge of MLOps practices including model deployment, monitoring, CI/CD, and containerization using Docker and Kubernetes.
• Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG) approaches for advanced AI solutions.
• Experience integrating AI models into production systems, APIs, or enterprise applications.
• Strong problem-solving mindset with the ability to translate business requirements into technical AI solutions.
• Excellent communication and collaboration skills to work with diverse teams and stakeholders.

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• 4-8 years of proven experience in designing and deploying AI/ML solutions in real-world applications.
• Track record of successfully delivering AI projects end-to-end, from data collection to production deployment

Key Responsibilities:

• Design, develop, and deploy agentic AI systems capable of autonomous decision-making, reasoning, and executing multi-step tasks.
• Build and fine-tune LLM-powered applications using frameworks like LangChain, LlamaIndex, or Semantic Kernel.
• Integrate LLMs into real-world workflows via APIs and tools (e.g., OpenAI, Hugging Face, Anthropic, Mistral).
• Architect and implement scalable pipelines for model orchestration, retrieval-augmented generation (RAG), and memory/long-context strategies.
• Develop robust interfaces between LLM agents and external tools, APIs, and databases.
• Experiment with prompt engineering, few-shot learning, and model evaluation techniques to optimise agent behaviour.
• Collaborate with cross-functional teams to understand business use cases and deliver end-to-end solutions.

Required Skills & Experience:

• 3+ years of experience in AI/ML, with a strong track record of freelance or consulting work.
• Proven experience with LLMs, prompt engineering, and agentic frameworks.
• Proficient in Python and familiar with modern LLM toolchains (e.g., LangChain, OpenAI Function Calling, ReAct, AutoGPT, AgentOps).
• Experience building autonomous or semi-autonomous agents capable of reasoning and planning.
• Solid understanding of vector stores (e.g., Pinecone, FAISS, Weaviate) and RAG pipelines.
• Knowledge of cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes).
• Ability to work independently, manage clients, and deliver on fast-paced timelines.

Job Types: Full-time, Permanent, Contractual / Temporary

Job Title: AI Engineer (Contract, Full Remote – India)

Company: Pragra

Location: Remote (India only)

Job Type: Contract

About Us

Pragra is a technology consulting and training company focused on delivering cutting-edge solutions and empowering businesses with innovation. We are seeking a talented AI Engineer (Contractual Position) to join our team and work on exciting AI and Machine Learning projects. This role is fully remote and open to candidates based in India only.

Responsibilities

• Design, develop, and deploy AI/ML models to solve real-world business problems.
• Collaborate with cross-functional teams to gather requirements and deliver solutions.
• Optimize algorithms for scalability, accuracy, and performance.
• Research and stay updated with the latest AI/ML advancements.
• Document work and present results effectively.

Requirements

• Proven experience in AI/ML model development and deployment.
• Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Knowledge in areas like NLP, Computer Vision, or Generative AI is an advantage.
• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Strong analytical and problem-solving skills with the ability to work independently.
• Must be currently residing in India.

Contract Details

• Type: Contract (duration negotiable)
• Location: 100% Remote (India only)
• Compensation: Based on experience and project scope

How to Apply

Interested candidates can share their resume and portfolio with us:

Contact: Rahul Singh

Job Type: Contract

Hiring: AI & Data Engineers (AI-Native Fashion) @Dripup

Location:
New Delhi

About Dripup:

We are building an
AI-native fashion discovery platform
that's solving core problems leading to shopping and selling experience gaps in the online ecosystem. Our mission is to transform how users discover and interact with fashion, making it more intuitive, personalized, and efficient.

Basically, we're making online fashion shopping feel like, "Wow, that's exactly what I've been looking for," instead of like finding a needle in a haystack.

Your Opportunity:

We are looking for talented and passionate
AI & data engineers
to join our team and play a pivotal role in building the technical foundation of Dripup. You'll work on critical data infrastructure and core AI components, directly impacting our user experience and platform performance.

What You'll Be Doing:

• Design & Build AI Systems:
  Architect and implement end-to-end AI applications, from the data pipeline to the user-facing AI components. This includes integrating various AI models and ensuring the entire system functions seamlessly.
• Create Fashion Data Pipelines:
  Develop robust data storage solutions for cataloging and managing fashion brands' clothing data, ensuring data quality and availability for our AI models.
• Build an AI Fashion Stylist:
  Take the lead in fine-tuning existing open-source Large Language Models (LLMs) to create a next-generation, AI-powered fashion stylist.
• Tackling Challenges:
  We're a startup, which means you'll be solving complex, real-world problems every day, with the freedom to find the most elegant and efficient solutions.

Who You Are:

• You have a strong background in
  AI Engineering
  or
  Data Engineering
  , with a focus on building production-level systems that integrate multiple components.
• You're experienced in designing and implementing scalable data storage solutions (e.g., SQL, NoSQL, data lakes).
• You have hands-on experience with LLMs and are comfortable with fine-tuning and deploying them for specific applications.
• You are a problem-solver who enjoys tackling complex challenges and finding elegant, efficient solutions.
• You are passionate about the intersection of AI and fashion, and excited to build the future of online shopping.

How to Apply:

Simply just DM me your resume and a short message about why you're a great fit for Dripup.

What we are looking for:
Smart, exceptional python developers with experience in building microservices.

Our Pay Range:
6-12 LPA

Locations
:

New Delhi, India

Hyderabad, India

What you will be working on:
You will be working on the backend for Unerth. You will be building microservices, machine learning models and optimizing systems, llms.

What we are looking for:

Experienced machine learning engineer to help build the backend of an enterprise AI agent workflows platform. The ideal candidate will have a good understanding of software engg, distributed systems, microservices and machine learning.

Responsibilities

• Experience with architecting and building large-scale distribution systems
• Designing and building performant microservices
• Work with CI/CD tools using industry best practices
• Problem-solving in production environments

Qualifications (Preferred)

• 1+ years of experience building large-scale distributed systems, especially in cloud environments.
• Experience with microservices frameworks- FastAPI, Flask, or Django
• Experience with machine learning would be a plus
• Strong communication and problem-solving skills
• Willingness to learn and work with other languages/frameworks

The Interview process

4 rounds*
of interviews:

1. Technical interview- 3 Rounds

This will be a coding round. In addition, this round will include questions on Data Structures & Algorithms, Coding, design patterns and architecture.

1. General interview

A conversation with you, about you.

*We may add or remove technical interviews depending on your experience.

Job Description: Junior AI Engineer

Location:
Gurgaon / Remote (Hybrid option available)

Type:
Full-time

About Us

Optivus Technologies is an AI-driven consulting and product company, building next-generation enterprise solutions that combine artificial intelligence, automation, and scalable architectures. Our flagship product,
Janus
, is transforming recruitment with AI-powered candidate screening and intelligent hiring. As we expand our product suite, we're looking for passionate engineers who thrive in ownership-driven, fast-paced environments.

Role Overview

We are seeking a
Junior AI Engineer
who is eager to work at the intersection of AI, software engineering, and product innovation. This role is ideal for candidates who are hungry to learn, take end-to-end ownership of deliverables, and contribute meaningfully to building production-ready AI systems.

You will collaborate with senior engineers and product leads to design, develop, and deploy AI-powered applications, leveraging state-of-the-art technologies such as
LangChain, Retrieval-Augmented Generation (RAG), and Vector Databases
.

Key Responsibilities

• Design, develop, and maintain AI-powered features and microservices.
• Work with
  LangChain
  and similar frameworks to implement RAG pipelines.
• Integrate
  vector databases
  (e.g., Pinecone, Weaviate, FAISS, Milvus) into scalable architectures.
• Write clean, modular, and well-documented
  Python
  code.
• Collaborate with the full-stack team to integrate AI components into applications frontend, Flask/FastAPI backend).
• Deploy and manage models/applications on
  AWS
  and other cloud environments (nice to have).
• Research and experiment with new AI/LLM techniques to improve performance.
• Debug, optimize, and test AI pipelines for reliability and scalability.
• Take
  ownership
  of features from conception to deployment, ensuring quality and timely delivery.

Required Skills & Qualifications

• Strong programming skills in Python
  .
• Experience with
  LangChain
  (or similar LLM frameworks).
• Understanding of
  Retrieval-Augmented Generation (RAG)
  architectures.
• Hands-on experience with
  vector databases
  (Pinecone, Weaviate, FAISS, Milvus, etc.).
• Familiarity with
  LLM APIs
  (OpenAI, Anthropic, etc.).
• Basic knowledge of
  machine learning
  concepts, embeddings, and prompt engineering.
• Problem-solving mindset and eagerness to
  take ownership
  of deliverables.
• Strong communication and collaboration skills.

Nice to Have

• Exposure to
  Full-stack development
  , Flask/FastAPI).
• Familiarity with
  AWS
  (Lambda, S3, ECS, EC2, RDS).
• Knowledge of
  MLOps tools
  (Docker, CI/CD, model monitoring).
• Experience with
  Neo4j or graph databases
  .
• Prior work on
  chatbots, NLP, or information retrieval systems
  .

What We Offer

• Opportunity to work directly with founders and senior engineers.
• Fast-paced,
  ownership-driven startup environment
  with real impact.
• Exposure to cutting-edge AI technologies and enterprise use cases.
• Competitive compensation and performance-based growth opportunities.

How to Apply:

Send your resume, GitHub/portfolio, and a short note about a project you've built (academic, professional, or personal) to