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Machine Learning Engineer
Shiprocketgurugram, India3 hours ago
Job descriptionWork with image datasets (structured / unstructured), including preprocessing, augmentation, Implement and integrate prompt-based generative models (e.g., Stable Diffusion, DALLE, or Collaborate with backend and product teams to deploy real-time or batch inference systems (using Docker, TorchServe, TensorRT, etc.). Optimize model performance for speed, accuracy, and size (quantization, pruning, ONNX Ensure robust versioning, reproducibility, and monitoring of models in production. 2-4 years of experience building and deploying ML models in production environments. Strong proficiency in Python and deep learning frameworks like PyTorch or TensorFlow. Hands-on experience with CNNs, ViTs, UNets, or other architectures relevant to image-based Experience with prompt-based image generation models (e.g., Stable Diffusion, Midjourney APIs, Familiarity with OpenCV, albumentations, or similar libraries for image processing. Ability to train and evaluate models on large datasets with proper tracking (e.g., using MLflow or Experience with model optimization tools (ONNX, TensorRT, quantization). Comfortable working with GPU-based environments and optimizing training / inference Experience with ControlNet, LoRA, or DreamBooth for custom generative image tuning. Familiarity with deployment using TorchServe, FastAPI, or Triton Inference Server. Knowledge of cloud infrastructure (e.g., AWS Sagemaker, GCP AI Platform) for scalable Basic understanding of CI / CD pipelines for ML (MLOps practices). Opportunity to work on cutting-edge generative and visual AI problems. Collaborative and engineering-driven culture. Access to high-performance GPUs and scalable compute resources.
About the Role
We are hiring a Machine Learning Engineer with a strong foundation in computer vision, image
classification, image processing, and prompt-based generative modeling. In this role, you will focus
on building and deploying production-grade ML pipelines that process images at scale, integrate
generative models, and power visual AI products.
Responsibilities
- Build and optimize ML pipelines for image classification, detection, and segmentation tasks.
- Design, train, fine-tune, and deploy deep learning models using CNNs, Vision Transformers, and
diffusion-based models.
normalization, and enhancement techniques.
ControlNet).
conversion, etc.).
Required Skills
tasks.
DALLE, or open-source alternatives).
Weights & Biases).
performance.
Nice to Have
training / inference.
What We Offer
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Machine Learning Engineer • gurugram, India
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