Senior Deep Learning Engineer

14 hours 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 ResponsibilitiesDesign, 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 ExpertiseStrong 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 SkillsExpert-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 SkillsExperience 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 EducationB.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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