Generative AI/ML Engineer

13 hours ago

Noida, Uttar Pradesh, India Acutus AI Full time ₹ 1,04,000 - ₹ 1,30,878 per year

Job Title:

Generative AI/ML Engineer – Synthetic Data, Behavioural Simulation & Digital Twins

Location: Delhi NCR (Noida) | Onsite Mandatory

Experience: 1+ Years

Type: Full-Time

Immediate Joiner Preferred

About Us

Acutus AI is on a mission to transform decision-making through AI-generated behavioural simulations. Our flagship product, ZCoded, helps businesses simulate how digital personas (your next-gen consumers) think, feel, and act
before launching products or campaigns in the real world
. We're building digital twins of consumers and training them using real-world behaviour, not just demography.

Your Role

As an early Generative AI/ML Engineer at Acutus AI, you'll be at the heart of building ZCoded's simulation engine. You'll work on
persona modelling, behavioural prediction and synthetic data generation
using state-of-the-art AI techniques like GANs, VAEs, LLMs and multi agents. This is a builder role, you'll own modules end-to-end, experiment fast and iterate live with feedback from early clients.

What You'll Build

  • Generative models to simulate consumer decision-making pathways (GANs, VAEs, LLM)
  • Fine-tuned persona embeddings from real-world behavioural data
  • A digital twin system capable of simulating web journeys, media engagement and purchase decisions
  • Integrations with scenario-based testing modules
  • Lightweight RESTful APIs to serve simulations into client-side apps or analytics tools

What We're Looking For

Must-Have

  • 1+ years of hands-on experience with Gen AI or ML/DL (internships and projects count)
  • Familiarity with PyTorch or TensorFlow
  • Hands-on experience in:
  • Generative models (GANs, VAEs)
  • LLMs, prompt engineering, multi-agent, RAG
  • Reinforcement learning or agent-based modelling
  • Knowledge of libraries such as HuggingFace Transformers, Langchain, or Scikit-learn
  • Strong Python fundamentals and experience working with unstructured data
  • Hunger to build from scratch and get hands dirty in a startup environment

Nice-to-Have

  • Experience with consumer behaviour modelling, NLP pipelines or recommender systems
  • Worked on synthetic data, simulated environments or AI-based persona engines
  • Familiarity with MLOps (Docker, MLflow, GitHub Actions)

Why Join Us

  • Skin in the game: Join as part of the core founding team
  • Work that matters: Your code will simulate human behaviour; before brands spend real-world money
  • Move fast, learn faster: No silos, no red tape. Build. Ship. Repeat.
  • Tech + Imagination: Be part of redefining how consumer research happens in the age of AI

How to Apply

Drop us a note at [] with your resume, GitHub/portfolio (if any)

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