Job Description
- Design, train, evaluate, and deploy machine learning and deep learning models.
- Work on NLP, computer vision, or multimodal applications using PyTorch/TensorFlow.
- Preprocess, clean, and transform structured/unstructured datasets for modeling.
- Fine-tune pre-trained models (LLMs, CV, transformers) for specific use cases.
- Collaborate with product managers and engineers to translate features into ML pipelines.
- Track model accuracy, drift, and latency using MLOps tools.
- Deploy models using Docker, FastAPI, or model serving platforms (TorchServe, Triton, etc.).
- Optimize models for inference, speed, and memory usage.
- Contribute to model versioning, reproducibility, and experiment tracking (MLflow, Weights & Biases).
- Stay updated with state-of-the-art research and integrate promising architectures.
Job Information
Country
Worldwide
Industry
Technology
Job Type
Full time / part time