AI/ML Architect

EAZYGURUS IT TRAINING; Hyderabad; Hybrid; INR 4,000,000 - 8,000,000; Full time

Benefits offered by this job

Competitive compensation

High-impact role

Collaborative environment

Innovation-driven culture

Job summary

EAZYGURUS IT TRAINING is seeking an experienced AI/ML Architect to design, build, and scale end-to-end AI/ML solutions, defining architecture, guiding teams, and ensuring robust, scalable systems aligned with business goals.

The candidate will lead model development, establish ML pipelines and CI/CD, collaborate with data scientists and engineers, ensure data quality and security, and evaluate cloud AI offerings across AWS, Azure, and GCP.

Qualifications

• 8–15 years of experience in AI/ML architecture and systems design.
• Proficient in Python and ML frameworks.
• Experience with cloud-based AI services and MLOps.

Responsibilities

• Design and architect end-to-end AI/ML solutions from data ingestion to deployment.
• Define AI/ML technology stack, frameworks, and best practices.
• Lead model development, training, validation, and deployment strategies.
• Collaborate with data scientists, engineers, product managers, and stakeholders.
• Design scalable ML pipelines (MLOps) including CI/CD, monitoring, and retraining.
• Ensure data quality, model performance, security, and compliance.
• Evaluate and implement cloud-based AI solutions (AWS, Azure, GCP).
• Stay updated with latest AI/ML trends, tools, and research.
• Provide technical leadership, mentorship, and architectural guidance.

Skills

AI/ML system design

Python

TensorFlow

PyTorch

Scikit-learn

MLOps

Cloud platforms

APIs & microservices

Communication

Education

Master's or PhD in CS/AI/ML

Tools

Docker

Kubernetes

MLflow

Kubeflow

Airflow

Job description

Experience: 8-15 Years

Location: Remote / On-site / Hybrid

Employment Type: Full-time / Contract (as applicable)

Job Description

We are seeking an experienced AI/ML Architect to design, build, and scale end-to-end artificial intelligence and machine learning solutions. The ideal candidate will define AI architecture, guide technical teams, and ensure AI systems are robust, scalable, and aligned with business goals.

Key Responsibilities

• Design and architect end-to-end AI/ML solutions from data ingestion to deployment
• Define AI/ML technology stack, frameworks, and best practices
• Lead model development, training, validation, and deployment strategies
• Collaborate with data scientists, engineers, product managers, and stakeholders
• Design scalable ML pipelines (MLOps) including CI/CD, monitoring, and retraining
• Ensure data quality, model performance, security, and compliance
• Evaluate and implement cloud-based AI solutions (AWS, Azure, GCP)
• Stay updated with latest AI/ML trends, tools, and research
• Provide technical leadership, mentorship, and architectural guidance

Required Skills & Qualifications

• Strong experience in AI/ML system design and architecture
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
• Hands-on experience with deep learning, NLP, computer vision, or generative AI
• Experience with MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes)
• Strong understanding of data engineering, pipelines, and large-scale systems
• Experience with cloud platforms (AWS SageMaker, Azure ML, or GCP AI)
• Knowledge of APIs, microservices, and scalable system design
• Excellent problem-solving and communication skills

Preferred Qualifications

• Experience with LLMs, GenAI, and prompt engineering
• Knowledge of data governance, model explainability, and AI ethics
• Prior experience in leading AI teams or large-scale AI projects
• Master's or PhD in Computer Science, AI, ML, or related field

What We Offer

• Opportunity to lead cutting-edge AI initiatives
• Work with advanced AI/ML technologies and real-world data
• Competitive compensation and benefits
• High-impact role with business and technical ownership
• Collaborative and innovation-driven work environment