Generative AI/ML Engineer

2 years

0 Lacs

Posted:2 weeks ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Job Title:

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

Location: Delhi NCR (Noida) | Onsite Mandatory

Experience: 2+ 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

persona modelling, behavioural prediction and synthetic data generation

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

  • 2+ years of hands-on experience with Gen AI or ML/DL (internships and projects count)
  • Hands on knowledge of Gen AI coding
  • 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 [hr@acutusai.com] with your resume, GitHub/portfolio (if any)

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