Ai-ml Architect Job in Camsdata Technologies India Pvt. Ltd.

Ai-ml Architect

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Job Summary

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
Experience Required :

Minimum 10 Years

Vacancy :

2 - 4 Hires

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