<ul><li>✅ Key Responsibilities:</li><li>- Develop and deploy ML/DL models (regression, classification, NLP, CV)</li><li>- Build end-to-end pipelines and deploy via APIs (FastAPI, Flask)</li><li>- Collaborate cross-functionally to bring AI into production</li><li>- Stay up to date with the latest in AI (LLMs, Transformers)</li><li>🛠️ What We’re Looking For:</li><li>- Strong Python skills + ML libraries (scikit-learn, TensorFlow, PyTorch)</li><li>- Experience with NLP or CV tools (spaCy, HuggingFace, OpenCV, YOLO)</li><li>- Cloud, Git, Docker, and API experience</li><li>- Knowledge of ML deployment and microservices</li><li>🌟 Bonus Skills:</li><li>- LLMs, prompt engineering, LangChain, vector DBs (FAISS, Pinecone)</li><li>- MLOps tools (MLflow, Kubeflow) and NVIDIA stack (CUDA, TensorRT)</li></ul>
✅ Key Responsibilities:
- Develop and deploy ML/DL models (regression, classification, NLP, CV)
- Build end-to-end pipelines and deploy via APIs (FastAPI, Flask)
- Collaborate cross-functionally to bring AI into production
- Stay up to date with the latest in AI (LLMs, Transformers)
🛠️ What We’re Looking For:
- Strong Python skills + ML libraries (scikit-learn, TensorFlow, PyTorch)
- Experience with NLP or CV tools (spaCy, HuggingFace, OpenCV, YOLO)