Principal Architect- AI ,ML

Position Principal Architect AI/ML Department: Engineering & Technology | Function: AI/ML Platform Engineering Min Exp 12+ yrs Max salary up to 40 lpa Required Education & Certifications Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a relatedtechnical field. Certifications in cloud platforms (AWS, Azure, GCP) or specialized AI/ML credentials are preferred Responsibilities AI/ML Architecture & Engineering Hands-on Development & Technical Leadership AI/ML & GenAI Solution Development MLOps & Platform Engineering Cloud & Distributed Systems Data & Platform Readiness Technical Mentorship & Collaboration Work Experience 12+ years of experience in AI/ML, software engineering, or platform engineering roles. Proven experience designing and deploying AI/ML solutions in production environments. Strong hands-on expertise in Python, SQL, and distributed computing frameworks. Hands-on experience with ML libraries/frameworks (TensorFlow, PyTorch, Scikit-learn). Experience building end-to-end ML systems not just modelling. Experience with MLOps tools (MLflow, Kubeflow, SageMaker, Azure ML, Vertex AI, Airflow). Hands-on experience with GenAI/LLMs (RAG, embeddings, fine-tuning, prompt engineering). Experience working with cloud platforms (AWS/Azure/GCP). Key Skills & Competencies Technical Skills Deep expertise in AI/ML architecture, distributed systems, and cloud-native engineering. Strong knowledge of system design, scalable architectures, data pipelines, and distributed systems. Proficiency in Python, SQL, TensorFlow, PyTorch, and Scikit-learn. Experience with MLOps platforms and CI/CD-integrated ML workflows. Familiarity with vector databases, knowledge graphs, or multimodal AI systems is a plus. Exposure to real-time ML systems or streaming architectures is a plus. AI & Digital Competencies • Hands-on experience with GenAI and LLM-based solutions including RAG, embeddings, and fine-tuning. • Experience building AI platforms or internal ML frameworks. • Strong understanding of AI adoption, model lifecycle management, and intelligent automation. Leadership & Behavioural Competencies • Strong hands-on technical mindset with a passion for building scalable, production-grade systems. • Ability to operate as a player-coach architect and active contributor simultaneously. • Deep problem-solving skills with a focus on scalability and performance. • Strong collaboration and stakeholder management skills across engineering, product, and platform teams. • Continuous learning mindset, especially in emerging AI and GenAI technologies. Please apply to this job here, we will call you once your profile is shortlisted.