Associate Principal - Architecture
- Machine Learning
- MLOps
- Natural Language Processing
- Computer Vision
- AI
- Python
- SQL
- PyTorch
- TensorFlow
- scikit-learn
- LangChain
- LlamaIndex
- Hugging Face
- Devops
- Azure
- AWS SageMaker
- Vertex AI
- Docker
- Kubernetes
- GitHub Actions
- Azure DevOps
- MLflow
- Kubeflow
- Pinecone
- FAISS
- Chroma
- Weaviate
- Databricks
- AI/ML
- Azure AI
- Azure OpenAI
- AWS
- OpenCV
- IoT
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 withYOLOor equivalent object detection frameworks.
• Experience withPyTorch or TensorFlow.
• Experience deploying AI/ML workloads on cloud and/or edge platforms.
• Strong understanding ofMLOps 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.
Associate Principal - Architecture · LTM