Associate Principal - Architecture

LTIMindtree · Bangalore

Source and collection record

Last observed by our collector: 8 October 2026 at 11:41 pm IST. This is not a manual review or a confirmation from the employer.

Employer requisition: 895267

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

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Collected role description

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.

Collected experience requirement

11 - 15 Years