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L

Associate Principal - Architecture

LTM
🇮🇳 India
On-site
Staff / Principal
3 weeks ago
  • 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
Not scoredNo CV on file. Upload one and this job gets a score out of 100.Upload CV

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

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