AI Architect

Saaki Argus & Averil Consulting; Chennai District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Saaki Argus & Averil Consulting in Chennai is seeking an AI Engineer/Architect to design, develop and deploy scalable AI solutions, aligning with business objectives.

You will build ML/DL models, work with Generative AI, implement end-to-end AI systems on cloud, and mentor junior engineers.

The role requires strong Python skills, experience with ML frameworks, MLOps, and data pipelines.

Qualifications

• End-to-end AI/ML design and deployment experience.
• Experience with large-scale data pipelines and model lifecycle management.

Responsibilities

• Design and implement end-to-end AI/ML solutions from data ingestion to deployment.
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• Build and optimize machine learning and deep learning models for real-world applications.
• Architect scalable and secure AI systems using cloud platforms.
• Work on Generative AI use cases including LLMs, prompt engineering, and fine-tuning.
• Collaborate with cross-functional teams to translate business requirements into AI solutions.
• Develop and manage data pipelines and model lifecycle (MLOps).
• Ensure model performance, scalability, reliability, and monitoring in production.
• Stay updated with emerging AI trends and evaluate new tools/technologies.
• Mentor junior engineers and guide best practices in AI development.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

NLP

Generative AI

MLOps

Cloud platforms

Docker

Kubernetes

Tools

MLflow

Kubeflow

Azure ML

AWS SageMaker

GCP Vertex AI

Job description

Job Title: AI Engineer / AI Architect

Location: Chennai

We are looking for a highly skilled AI Engineer / AI Architect to design, develop, and deploy scalable AI solutions. The ideal candidate will have strong expertise in machine learning, deep learning, and Generative AI, along with the ability to architect end-to-end AI systems aligned with business objectives.

Key Responsibilities

• Design and implement end-to-end AI/ML solutions from data ingestion to deployment.
• Build and optimize machine learning and deep learning models for real-world applications.
• Architect scalable and secure AI systems using cloud platforms.
• Work on Generative AI use cases including LLMs, prompt engineering, and fine-tuning.
• Collaborate with cross-functional teams to translate business requirements into AI solutions.
• Develop and manage data pipelines and model lifecycle (MLOps).
• Ensure model performance, scalability, reliability, and monitoring in production.
• Stay updated with emerging AI trends and evaluate new tools/technologies.
• Mentor junior engineers and guide best practices in AI development.

Required Skills

• Strong proficiency in Python and AI/ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Experience with Machine Learning, Deep Learning, and NLP.
• Hands-on experience with Generative AI (LLMs, embeddings, prompt engineering).
• Knowledge of MLOps tools (MLflow, Kubeflow, Azure ML, etc.).
• Knowledge of cloud platforms (Azure, AWS, or GCP).
• Understanding of data engineering concepts and working with large datasets.
• Familiarity with APIs, microservices, and containerization (Docker, Kubernetes).
• Strong problem-solving and analytical skills.