Senior Deep Learning Engineer

6 days ago

Bangalore, India krtrimaIQ Cognitive Solutions Full time

Job Description: Senior Deep Learning Engineer (5+ Years Experience) Location: Bangalore (Hybrid) Company: KrtrimaIQ Cognitive Solutions Employment Type: Full-Time Experience Required: 5+ Years About the Role We are looking for a highly skilled Senior Deep Learning Engineer with strong expertise in traditional Data Science, Computer Vision, NLP, and hands-on GenAI model development. The ideal candidate must have solid production-level experience and excellent Python programming skills to build scalable AI/ML solutions for enterprise clients. Key Responsibilities Design, develop, and deploy deep learning models for  Computer Vision, NLP, and GenAI use cases . Build end-to-end ML pipelines, including  data preprocessing, model training, evaluation, and deployment . Work on  production-grade AI systems , optimizing models for performance, scalability, and latency. Develop and fine-tune  LLMs, diffusion models, and transformer-based architectures . Collaborate with cross-functional teams to understand business problems and deliver AI-driven solutions. Implement best practices for  MLOps, versioning, automation, and model monitoring . Conduct research on emerging deep learning methods and integrate them into product development. Mandatory Skills Core Expertise Strong background in  Deep Learning ,  Computer Vision , and  NLP Proven experience in building  traditional ML and Data Science models Hands-on experience with  Generative AI models (LLMs, transformers, diffusion, prompt engineering) Technical Skills Expert-level coding experience in  Python Proficiency with: TensorFlow / PyTorch OpenCV Hugging Face Transformers Scikit-learn, NumPy, Pandas Experience deploying models using  Docker, FastAPI, Flask, or similar frameworks Good understanding of  cloud platforms (AWS / Azure / GCP) Preferred Skills Experience with  MLOps pipelines , CI/CD, model serving tools (TensorRT, ONNX) Knowledge of vector databases, embeddings, and retrieval pipelines (RAG) Experience implementing  real-time inference systems Familiarity with  data engineering workflows is a bonus Education B.Tech/M.Tech in Computer Science, AI/ML, Data Science, or related domains. How to Apply Send your updated CV to 

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