JD : Deep learning Skillset :
Strong understanding of deep learning fundamentals and architectures (CNNs, RNNs, Transformers, GANs, MoE).

- Proficiency in Python and experience with deep learning frameworks (TensorFlow, PyTorch, Keras).
- Design, train, fine-tune, and optimize deep learning models, including LLMs, for various applications.
- Apply fine-tuning techniques such as full fine-tuning, LoRA/QLoRA, prompt tuning, adapter layers, and instruction tuning for task and domain adaptation.
- Develop and integrate AI agents capable of reasoning, planning, and tool usage for enterprise workflows.
- Preprocess, clean, and augment large datasets for model training and evaluation.
- Implement models using frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
- Evaluate models with relevant metrics (accuracy, BLEU, ROUGE, perplexity, etc.) and iterate for improvement.
- Knowledge of cloud platform GCP and GPU-based training.




- Familiarity with MLOps tools and workflows- cloud schedulers, cloud function, vertex ai pipelines, pub/sub for model training , deployment and monitoring.
- Robust problem-solving skills and ability to work in an agile, collaborative environment.
- Deploy models into production environments (cloud, on-premise, or hybrid) and monitor performance.
- Set up and manage deployment pipelines using Git, CI/CD workflows, Tekton, and GKE clusters for on-premise deployment.
- Research and implement cutting-edge techniques in deep learning, LLM training, and agent architectures.

•GCP ML certification is a plus

Job Type: Full-time

Pay: ₹1,500,000.00 - ₹1,800,000.00 per year

Work Location: Hybrid remote in Chennai, Tamil Nadu

📌 Machine Learning Engineer (India)
🏢 Prism IT
📍 India