Ai-ml Architect Job in Camsdata Technologies India Pvt. Ltd.
Ai-ml Architect
Camsdata Technologies India Pvt. Ltd.
2 weeks ago
- Bengaluru, Bangalore Urban, Karnataka
- Not Disclosed
- Full-time
Job Summary
Qualification : Advanced degree in Computer Science, AI, Machine Learning, or related fields
AI-ML Architect Bangalore, India
Location: Bangalore
Experience: 10 to 15 Years
Role: AI-ML Architect
Industry: IT Software / Artificial Intelligence & Machine Learning
Job Overview:
We are seeking a highly experienced AI-ML Architect to lead the design and implementation of advanced AI and Machine Learning systems. The ideal candidate will have extensive expertise in deep learning frameworks, system-level optimization, and scalable infrastructure, driving innovation in AI across cloud and distributed environments.
Key Responsibilities:
- Architect, develop, and optimize deep learning and neural network applications on Windows and Linux platforms
- Build, train, and fine-tune advanced AI/ML models using frameworks such as PyTorch, TensorFlow, and Caffe
- Optimize neural network performance at the kernel level for scalability across diverse hardware architectures
- Lead development and deployment of AI models using techniques like Reinforcement Learning, Transfer Learning, and Federated Learning
- Design and develop web services and REST APIs with strong proficiency in Python and C/C++
- Automate AI/ML model deployment, management, and scaling using Docker, Kubernetes, and MLOps best practices
- Work with hardware acceleration technologies such as OpenVINO, OneAPI DPC++, OpenCL, and CUDA to enhance performance
- Design and implement microservices-based AI infrastructure supporting distributed cloud environments
- Collaborate with cross-functional teams to integrate AI solutions with enterprise cloud architectures
Required Skills & Experience:
- 10+ years of experience in system software development on Windows or Linux
- Proven expertise with deep learning frameworks: PyTorch, TensorFlow, Caffe
- Strong background in Reinforcement Learning, Transfer Learning, and Federated Learning
- Proficient in Python and C/C++ programming
- Hands-on experience with RESTful API development
- Experience automating deployments using Docker, Kubernetes, and MLOps tools
- Knowledge of GPU and accelerator programming: OpenVINO, CUDA, OpenCL preferred
- Strong understanding of cloud and distributed computing infrastructures
- Experience adopting microservices architecture for scalable AI platforms
Preferred Qualifications:
- Advanced degree in Computer Science, AI, Machine Learning, or related fields
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
- Experience in leading AI teams and mentoring architects and engineers
Why Join Us?
- Lead AI innovation on cutting-edge projects with global impact
- Collaborate in a high-growth, fast-paced environment fostering continuous learning
- Work with advanced AI infrastructure and state-of-the-art hardware acceleration technologies
- Opportunity to shape AI architecture and influence strategic technology decisions
Qualification : Advanced degree in Computer Science, AI, Machine Learning, or related fields

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