Posted:8 hours ago|
Platform:
Remote
Full Time
IN ORDER TO BE CONSIDERED FOR THIS ROLE, YOU MUST SUBMIT AN APPLICATION HERE:
https://onboard.daply.ai/developers
AI Developer at Daply 🚀
Daply is hiring a fast, sharp, and highly capable AI Developer. You will design, build, and ship AI systems that power automation, personalization, and data driven insights across our marketing tech stack. If you love taking models from notebook to production and improving them continuously, let’s talk.
What you will do
Design, train, and deploy ML and deep learning models for real world use
Build scalable data pipelines for training, inference, and continuous learning
Integrate models with apps and APIs and ship end to end features
Fine tune LLMs and optimize prompts, latency, and reliability
Monitor and improve accuracy, performance, and cost
Must haves
Strong Python with hands on PyTorch or TensorFlow or JAX
Three or more years building and deploying ML models in production
Solid grasp of ML fundamentals plus strength in NLP or computer vision or RL
Experience with LLMs, embeddings, and vector databases like FAISS or Pinecone or Weaviate
Hands on experience with parameter efficient fine tuning including LoRA or QLoRA using PEFT
Data preprocessing, feature engineering, and rigorous evaluation skills
Production deployment using APIs, Docker, and a major cloud like AWS or GCP or Azure
MLOps experience with tools like MLflow or Weights and Biases or LangChain
Proficiency with SQL and at least one NoSQL store
Clean, maintainable, production grade code
Nice to have
AI in marketing, analytics, or content generation
Generative AI frameworks and custom LLM fine tuning beyond LoRA
Open source contributions
Our stack
Python, PyTorch, TensorFlow, JAX
Hugging Face, PEFT, LoRA or QLoRA, LangChain, OpenAI
FastAPI, Node.js
PostgreSQL, Supabase, Firebase
AWS, GCP, Docker, Git
Why Daply
Remote friendly and async
Work directly with founders on high impact AI products
Fast moving environment with real ownership and creative freedom
Daply | Scaling Digital Publishing
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