AI/ML Engineer (3-4 years experience Jaipur)

We are not looking for someone who knows how to call OpenAIs API and call it AI.We are looking for an engineer who has rolled up their sleeves trained models from scratch or fine-tuned foundation models on custom datasets, debugged loss curves, written custom training loops, and shipped something that runs in production.What you will work onAt Perimattic, you will be building AI systems that go inside real enterprise products document intelligence, manufacturing analytics, and agentic workflows. You will work on model selection, fine-tuning, evaluation pipelines, and inference optimization. You will own the full lifecycle from problem framing to deployment.What we expect from you3 to 4 years of hands-on experience in ML engineering, not AI product managementYou have trained or fine-tuned models transformers, CNNs, or similar on real datasets with real constraintsSolid command of PyTorch or TensorFlow, not just the scikit-learn docsYou understand what overfitting actually looks like in a training run, not just in theoryExperience with model evaluation, dataset curation, and iterative experimentationComfort working with unstructured data - documents, images, or time-seriesBonus if you have worked with LLM fine-tuning (LoRA, QLoRA, PEFT), RAG architectures, or ONNX/TensorRT for inferenceBonus if you have deployed models to production not just notebooksWhat you will not find hereA job where your entire AI work is chaining LangChain callsA company that confuses API integration with machine learningA team that wont let you get your hands dirtyWhat you will findA 13-year-old product and services company that is transitioning aggressively into AI-first productsReal problems across manufacturing, document processing, and enterprise automationA team that values depth over buzzwordsRoom to grow into a senior or lead role as we scale our product portfolio We are not looking for someone who knows how to call OpenAIs API and call it AI.We are looking for an engineer who has rolled up their sleeves trained models from scratch or fine-tuned foundation models on custom datasets, debugged loss curves, written custom training loops, and shipped something that runs in production.What you will work onAt Perimattic, you will be building AI systems that go inside real enterprise products document intelligence, manufacturing analytics, and agentic workflows. You will work on model selection, fine-tuning, evaluation pipelines, and inference optimization. You will own the full lifecycle from problem framing to deployment.What we expect from you3 to 4 years of hands-on experience in ML engineering, not AI product managementYou have trained or fine-tuned models transformers, CNNs, or similar on real datasets with real constraintsSolid command of PyTorch or TensorFlow, not just the scikit-learn docsYou understand what overfitting actually looks like in a training run, not just in theoryExperience with model evaluation, dataset curation, and iterative experimentationComfort working with unstructured data - documents, images, or time-seriesBonus if you have worked with LLM fine-tuning (LoRA, QLoRA, PEFT), RAG architectures, or ONNX/TensorRT for inferenceBonus if you have deployed models to production not just notebooksWhat you will not find hereA job where your entire AI work is chaining LangChain callsA company that confuses API integration with machine learningA team that wont let you get your hands dirtyWhat you will findA 13-year-old product and services company that is transitioning aggressively into AI-first productsReal problems across manufacturing, document processing, and enterprise automationA team that values depth over buzzwordsRoom to grow into a senior or lead role as we scale our product portfolio