About the Position:
We at nCircle Tech aspire to be an organization that provides exciting and challenging work to build next-generation software built using the latest technologies. We are looking for talented software engineers who have passion for developing programs in the domain of CAD/CAD/CAE/3D visualization.
Key responsibilities include:
Research, explore, evaluate, and deploy open-source computer vision models for various use cases related to image and video validation, as well as 3D data such as CAD models or LiDAR point clouds.
Requirements
Requirement-
3+ years of experience in Machine Learning, Deep Learning ,Computer vision, Data analytics
Python proficiency: Especially with libraries like PyTorch, TensorFlow, Hugging Face Transformers, and LangChain.
Machine Learning & Deep Learning: Solid understanding of supervised, unsupervised, and reinforcement learning; neural networks (CNNs, RNNs, Transformers).
Prompt Engineering and Natural Language Processing (NLP): Tokenization, embeddings, attention mechanisms, and transformer architectures (e.g., GPT, BERT).
Model Evaluation and Deployment: Experience with Docker, Kubernetes, REST APIs, and serving models using FastAPI, Flask, or TorchServe.
Cloud Platforms: Familiarity with AWS, Azure, or GCP for scalable deployment and model hosting.
Version Control & CI/CD: Git, GitHub Actions, Jenkins for automated testing and deployment.
Good to have - fullstack development.
3+ years of experience in Machine Learning, Deep Learning ,Computer vision, Data analytics
Python proficiency: Especially with libraries like PyTorch, TensorFlow, Hugging Face Transformers, and LangChain.
Machine Learning & Deep Learning: Solid understanding of supervised, unsupervised, and reinforcement learning; neural networks (CNNs, RNNs, Transformers).
Prompt Engineering and Natural Language Processing (NLP): Tokenization, embeddings, attention mechanisms, and transformer architectures (e.g., GPT, BERT).
Model Evaluation and Deployment: Experience with Docker, Kubernetes, REST APIs, and serving models using FastAPI, Flask, or TorchServe.
Cloud Platforms: Familiarity with AWS, Azure, or GCP for scalable deployment and model hosting.
Version Control & CI/CD: Git, GitHub Actions, Jenkins for automated testing and deployment.
Good to have - fullstack development.
Benefits
Benefits
- An environment of growth and learning
- Opportunity to work with international and multicultural clients
- Lead a young and talented team
- Flexible working hours
- Team building events
- Training, books and all you need to feel empowered
- Industry leading compensation structures
- And a Referral Bonus if you bring other talented people like you
