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 contemporary 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.
Skills
Mandatory Skills : Python,AI/ML, computer vision models, CV solutions,deep-learning,YOLO,PyTorch or TensorFlow,MLOps
About LTM
LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, current productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltm.com/careers/recruitment-fraud-alert
📌 Associate Principal - Architecture (India)
🏢 LTM
📍 India