AI / ML Architect

Experience: 8-14+ Years

Location:  Bengluru (Remote)

Notice Period : Immediate Joiner

Role Overview

We are looking for an experienced AI / ML Architect/Lead to design, develop, and deploy enterprise-scale AI/ML and Generative AI solutions. The ideal candidate will have strong expertise in Machine Learning, Data Engineering, MLOps, LLMs, RAG architectures, and Cloud-based AI platforms, with the ability to lead end-to-end AI initiatives.

Key Responsibilities

• Design and architect scalable AI/ML and Generative AI solutions.

• Develop data pipelines, ETL/ELT processes, and feature engineering frameworks.

• Perform data preprocessing, EDA, model training, optimization, and deployment.

• Implement MLOps practices including model versioning, experimentation,monitoring, and CI/CD.

• Build and deploy RAG-based applications, AI agents, and LLM-powered solutions.

• Collaborate with business and technical stakeholders to translate requirements into AI solutions.

• Ensure AI security, governance, compliance, and best practices.

• Mentor and guide ML Engineers, Data Scientists, and AI teams.

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.

• 8-14+ years of experience in AI/ML architecture and solution delivery.

• Proven experience building enterprise-scale AI, ML, and Generative AI applications.

• Strong leadership and stakeholder management skills.

Requirements

Required Skills

AI/ML & GenAI

• Machine Learning Algorithms

• Feature Engineering, Data Splitting, Encoding

• Model Design, Optimization & Deployment

• LLMs: OpenAI, LLaMA, Gemini, BERT

• RAG Pipelines, Prompt Engineering

• AI Agent Frameworks & Agent Deployment

Programming & Frameworks

• Python, R, Scala, Java

• Pandas, TensorFlow, PyTorch, Scikit-learn, Keras

Data & MLOps

• Data Engineering, ETL/ELT

• Git, DVC, MLflow

• Docker, Kubernetes, Kubeflow

• Apache Airflow, CI/CD

Cloud & Platforms

• AWS, Azure, GCP

• AWS SageMaker, AWS Bedrock

• Azure Machine Learning Services

• Google AI Platform

• Databricks, Snowflake, Salesforce, SAP

Databases

• RDBMS & NoSQL Databases

• Vector Databases (Pinecone, Weaviate, Chroma, FAISS, Milvus, etc.)