AI Architect

Dimraj Technologies is seeking a visionary and skilled AI Architect to join our team in Kamla Nagar, Delhi. In this role, you will design, develop, and deploy robust artificial intelligence and machine learning architectures that solve complex business problems. If you have a solid foundation in AI engineering and are ready to step into a leadership role shaping the future of our technology stack, we want to hear from you. Key Responsibilities • System Architecture: Design and implement scalable, reliable, and secure AI/ML infrastructure and system architectures. • Model Development: Oversee the end-to-end lifecycle of machine learning models, from data ingestion and preprocessing to training, evaluation, and deployment. • Technology Roadmap: Evaluate emerging AI technologies, frameworks, and research to keep the company at the cutting edge of innovation. • Cross-Functional Collaboration: Partner with data engineers, software developers, and product managers to seamlessly integrate AI capabilities into existing platforms. • Governance & Standards: Establish best practices for data privacy, model ethics, version control, and MLOps pipelines. Required Qualifications & Skills • Minimum of 3 years of hands-on experience in AI/ML engineering, data science, or system architecture. • Strong proficiency in programming languages like Python, R, or C++. • Deep understanding of frameworks such as TensorFlow, PyTorch, Keras, or Scikit-Learn. • Proven experience with cloud platforms (AWS, Azure, or GCP) and MLOps tools (Kubeflow, MLflow). • Excellent problem-solving, communication, and leadership abilities. Perks & Benefits • Competitive Compensation: Attractive monthly salary ranging from ₹80,000 to ₹2,00,000, scaled to your expertise. • Career Growth: Direct opportunities to lead high-impact projects and shape the company's AI strategy. • Prime Location: Work from a modern, collaborative office space located in the vibrant hub of Kamla Nagar, Delhi. • Professional Development: Access to the latest tools, technologies, and continuous learning resources.