Associate Principal - Architecture

Required Skills Location- Bellandur bangalore Shift- 1.30pm- 10.30pm Technical Skills Machine Learning Deep Learning, Generative AI LLMs Agentic AI MLOps Model Lifecycle Management,NLP Computer Vision,Feature Engineering Data Processing AI Solution Architecture,Responsible AI AI Governance,Model Deployment Monitoring Programming- Python Expert,SQL,PyTorch,TensorFlow,Scikitlearn,LangChain LlamaIndex,Hugging Face,Cloud DevOps,Microsoft Azure AI Services,AWS SageMaker,Google Vertex AI,Docker,Kubernetes,GitHub Actions Azure DevOps,MLflow Kubeflow Data Technologies,Vector Databases Pinecone FAISS ChromaDB Weaviate,Spark Databricks,Data Lakes Big Data Platforms Education- Bachelors or Masters degree in Computer Science Artificial Intelligence Data Science Engineering or related field PhD in AIML is a plus Preferred Certifications- / Azure AI Engineer Associate,Azure OpenAI AI Architect Certifications,AWS Machine Learning Specialty,Google Professional Machine Learning Engineer,Databricks AI Machine Learning Certifications Required Experience-

• 10+ years of experience in software engineering, AI/ML, or computer vision.
• Strong hands-on experience developing and deploying computer vision models.
• Proven experience taking CV solutions from PoC to production .
• Strong Python and deep-learning experience.
• Experience with YOLO or equivalent object detection frameworks.
• Experience with PyTorch or TensorFlow .
• Experience deploying AI/ML workloads on cloud and/or edge platforms. • Strong understanding of MLOps and production ML lifecycle. • Experience leading technical teams or acting as a technical lead We are looking for a Lead Computer Vision Engineer with strong hands-on experience in developing, optimizing, and deploying AI/ML and computer vision solutions at scale.

The role will be responsible for the engineering lifecycle of computer vision solutions—from problem definition, data preparation, model development and training to edge/cloud deployment, production monitoring, and continuous improvement. The ideal candidate should have strong expertise in Python, OpenCV, PyTorch/TensorFlow, YOLO and modern deep-learning architectures, combined with experience deploying computer vision workloads on Microsoft Azure and edge computing platforms. Experience in industrial computer vision, video analytics, Oil & Gas, Energy, Manufacturing, or Industrial IoT is highly desirable.