Machine Learning Engineer

Devsinc is hiring a Machine Learning Engineer with experience in building and fine-tuning Generative AI models, Vision-Language Models, and classical and deep learning systems.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field.
• 2+ years of professional experience in AI/ML or relevant domains.
• Excellent understanding of classical ML (scikit-learn): regression, classification, clustering.
• Strong expertise in Computer Vision: object detection, segmentation, OCR pipelines (training from scratch and transfer learning).
• Deep understanding of model optimization: quantization, pruning, distillation, FLOPs analysis, CUDA profiling, mixed precision, and inference performance trade-offs.
• Proven ability to design and train models from scratch.
• Hands-on experience with LLMs and diffusion-based models (e.g., Stable Diffusion).
• Proficiency with ONNX, TensorRT, TorchScript, and serving frameworks (Triton, TorchServe, or ONNX Runtime).
• Skilled in GPU programming and CUDA optimization (profiling with nvprof/nsight, memory management, multi-GPU setups).
• Strong backend engineering in Python (FastAPI, Flask), async programming, WebSockets/SSE, and RESTful API design.
• Experience with containerization and orchestration (Docker, Kubernetes, Helm) and deploying GPU workloads to AWS/GCP/Azure or on-prem clusters.
• Solid software engineering discipline: CI/CD, testing, code reviews, reproducibility, and version control.