AI/ML Engineer Intern

Build the models that power our enterprise AI platform

The Role

You will work directly on our AI platform — building, training, and deploying models that power real enterprise workflows. This is not a research-only role. You will ship code that runs in production and impacts paying customers.

Depending on your strengths, you could work on:

  • Inferova Parse — Document intelligence: OCR, layout understanding, table extraction, field classification
  • Hariyaalee — Computer vision for agriculture: plant disease detection, yield prediction, environmental monitoring
  • Inferova Sonics — Voice AI: speech-to-text, NLU pipelines, conversational agent design
  • LLM Studio — Fine-tuning and deploying custom language models, evaluation frameworks, inference optimization

What You'll Do

  • Build and improve ML pipelines — data preprocessing, model training, evaluation, deployment
  • Work with real enterprise datasets (documents, images, audio, text)
  • Optimize model performance for accuracy, latency, and cost
  • Write clean, production-ready Python code with proper testing
  • Collaborate with product and engineering teams to ship weekly
  • Read papers, prototype ideas, and benchmark against existing approaches

Must Have

  • Currently pursuing or recently completed B.Tech/M.Tech/MS in CS, AI/ML, or related field
  • Strong Python fundamentals
  • Hands-on experience with at least one of: PyTorch, TensorFlow, or HuggingFace Transformers
  • Understanding of core ML concepts — supervised/unsupervised learning, CNNs, transformers, loss functions, evaluation metrics
  • Ability to read and implement ideas from research papers
  • Git proficiency

Good to Have

  • Experience with computer vision (OpenCV, YOLO, segmentation models)
  • Experience with NLP/LLMs (fine-tuning, prompt engineering, RAG)
  • Experience with speech/audio ML (Whisper, TTS models)
  • Familiarity with MLOps tools (MLflow, Weights & Biases, Docker)
  • Contributions to open-source ML projects
  • Kaggle or competitive ML experience

Why Join Us

  • Work across platform capabilities — not just one narrow problem
  • Ship to production from week one, not months of onboarding
  • Direct access to the founding team and customers
  • Learn how to build AI products that people actually pay for
  • Strong performers get a full-time offer