Flag job

Report

AI Developer (Fresher)

Location

Haveli, Maharashtra, India

JobType

part-time

About the job

Info This job is sourced from a job board

About the role

Associative

Website: associative.in
Job details:
AI Developer (Fresher)admin2026-03-21T10:53:40+05:30

Job Description: AI Developer

We are seeking a passionate and talented AI Developer to join our growing team at Associative. If you are a fresher eager to kickstart your career in Artificial Intelligence and Machine Learning, and want to work on innovative digital realities, we want to meet you!

Qualifications & Requirements

  • Experience: Fresher
  • Education: Any Graduate
  • Equipment: Must have your own laptop for work
  • Languages: Proficiency in Hindi, English, and Marathi

What We Offer

  • Employment Type: Full-time, Permanent
  • Work Location: Onsite at our Pune office (Khandve Complex, Lohegaon)
  • Office Hours: 10:00 AM to 8:00 PM
  • Work Days: Monday through Saturday

Important Information (Please Read Carefully)

To ensure clarity and manage expectations, please review the following key points regarding this position and our hiring process:

  • Eligibility: This position is strictly for candidates ready to join a full-time role. It is not intended for candidates who are currently pursuing their education or any full-time courses.
  • Work Model: This is a 100% full-time, in-office position in Pune. We do not offer remote work, work-from-home, or part-time arrangements.
  • Interview Format: Mandatory in-person interview. Virtual or online interviews are not available.
  • Direct Hiring: Associative is a 5-year-old software development company. We are hiring directly for our own team. We are not an outsourcing agency or a recruitment consultancy.
  • Zero Fees: We do not charge any fees for recruitment, interviews, or training. Please do not pay any individual or third party for any part of this hiring process.

About Associative

Welcome to Associative! Established in February 2021 and headquartered in Pune, Maharashtra, we are a team of dedicated innovators, problem-solvers, and IT professionals passionate about transforming visionary ideas into scalable digital realities. We operate with unyielding transparency and are formally registered with the Registrar of Firms (ROF), Pune.

We are proud to be an Adobe Silver Solution Partner, an Adobe Certified Reseller, and an Official Reseller Partner of Strapi.

The Tech Landscape You Will Join: As an AI Developer, you will be part of a company that unlocks the power of data through intelligent systems. Our AI & ML expertise includes:

  • Core AI/ML: Utilizing the Python ecosystem (TensorFlow, PyTorch, Scikit-learn) and Java libraries (Deeplearning4j).
  • Generative AI & LLMs: Building chatbots and content generation tools using frameworks like LangChain, Ollama, and Keras.
  • Computer Vision: Image recognition and analysis using OpenCV and custom 3D data processing.
  • Innovation & R&D (NexusReal): You’ll be exposed to our flagship project, NexusReal: Intelligence Fused Reality, which bridges digital intelligence and physical reality using Interactive AI Avatars, real-time LLM communication, Neural Radiance Fields (NeRFs), and Gaussian Splatting.

(Beyond AI, our comprehensive service portfolio covers Web & Cloud Gaming CMS, Mobile App Development, Blockchain & Web3, Game Development (AR/VR), Enterprise Solutions (CRM/ERP), and Digital Marketing).

Contact Us & Apply

We look forward to bringing your vision to life!

  • Address: Khandve Complex, Yojana Nagar, Lohegaon – Wagholi Road, Lohegaon, Pune, Maharashtra, India – 411047
  • Find us on Google: Search “Associative Pune”
  • WhatsApp: +91 9028850524
  • Email: info@associative.in
  • Website: https://associative.in

Helpful Links

  • Career Page
  • Company Profile
  • Our Services
  • Recent Projects
  • Contact Us
Click on Apply to know more.

Skills

LangChain
Python
Artificial Intelligence
Blockchain
CMS
CRM
digital marketing
enterprise solutions
game development
gaming
Java
Keras
machine learning
mobile app
TensorFlow
web3
Pytorch