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.
- Robust 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.

📌 Principal Architect- AI ,ML (Telangana)
🏢 Creative Hands HR
📍 Telangana