AIML Architect

Weekday AI (YC W21); Hyderabad; On-site; INR 5,000,000 - 6,000,000; Full time

Job summary

Weekday AI (YC W21) is seeking a Principal AIML Architect with over 12 years of software engineering experience, particularly in AI/ML systems. The ideal candidate will manage the lifecycle of ML projects, develop generative AI solutions, and implement MLOps practices.

This role requires proficiency in Python and frameworks like PyTorch and TensorFlow, along with experience in cloud platforms such as AWS and Azure. The position is full-time and offers an attractive salary range of Rs 5000000 - Rs 6000000.

Qualifications

• Over 12 years of experience in software engineering, with 8 years focused on AI/ML systems.
• Expertise in architectural design for scalable AI/ML systems.
• Hands-on experience with frameworks like PyTorch, TensorFlow, scikit-learn.

Responsibilities

• Develop Generative AI solutions such as LLMs and multi-agent frameworks.
• Implement MLOps practices including CI/CD and monitoring.
• Mentor teams and lead innovation initiatives.

Skills

Python

AI/ML System Architecture and Design

Scalable Process Workflows

Production-level ML Development

Large Language Models and Generative AI

RAG Pipelines

Prompt Engineering

Model Training and Optimization

MLOps (CI/CD, Monitoring, Drift Detection)

Model Deployment (API/Batch/Streaming)

PyTorch

TensorFlow

scikit-learn

LangChain

LlamaIndex

Vector Databases (FAISS, Pinecone, Milvus)

Embeddings and Retrieval Systems

Cloud Platforms (AWS, Azure, GCP)

SQL and NoSQL Databases

Job description

This role is for one of the Weekday's clients

Salary range: Rs 5000000 - Rs 6000000 (ie INR 50-60 LPA)

Min Experience: 12+ years

Location: Bengaluru, Hyderabad

JobType: full-time

Requirements

Principal AIML Architect

• Over 12 years of experience in software engineering, including more than 8 years focused on AI/ML systems
• Proficient in Python with practical expertise in managing the complete ML lifecycle
• Essential: Expertise in architectural design and process workflows for building scalable AI/ML systems
• Develop Generative AI solutions such as LLMs, Retrieval-Augmented Generation (RAG), and multi-agent frameworks
• Build, train, fine-tune, and enhance ML and LLM models for optimal performance
• Implement MLOps practices including CI/CD pipelines, monitoring, model retraining, and drift detection
• Hands‑on experience with frameworks and libraries like PyTorch, TensorFlow, scikit-learn, LangChain, and LlamaIndex
• Work extensively with vector databases such as FAISS, Pinecone, and Milvus, as well as embedding techniques
• Deploy solutions via APIs, batch processing, and streaming across cloud platforms including AWS, Azure, and GCP
• Provide mentorship to teams, engage collaboratively with stakeholders, and lead innovation initiatives

Required Skills

Python, AI/ML System Architecture and Design, Scalable Process Workflows, Production-level ML Development, Large Language Models and Generative AI, RAG Pipelines, Prompt Engineering, Model Training and Optimization, MLOps (CI/CD, Monitoring, Drift Detection), Model Deployment (API/Batch/Streaming), PyTorch, TensorFlow, scikit‑learn, LangChain, LlamaIndex, Vector Databases (FAISS, Pinecone, Milvus), Embeddings and Retrieval Systems, Cloud Platforms (AWS, Azure, GCP), Scalable System Architecture, SQL and NoSQL Databases