Architect

ROLE PROFILE

• Designs and develops scalable machine learning models and AI-driven
  
  

solutions to address complex business challenges and enhance decision-

making processes

Key Responsibilities

• Work with large and complex data sets to solve challenging business
  
  

problems

• Efficient training and deployment of standard ML, NN, and Agentic models.
• Develop, train, and optimize machine learning models using state-of-the-art
  
  

algorithms and frameworks

• Build production grade end-to-end ML pipelines, including data ingestion,
  
  

transformation, model training, validation, and deployment

• Automate workflows for model training, testing, and deployment using
  
  

CI/CD pipelines and MLOps tools

• Collaborate with cross-functional teams to integrate models into applications
  
  

and deliver end-to-end solutions

• Finetune SLMs/LLMs and build complex AI architectures
  
  

Professional Experience/Qualifications

• (3-7) years of experience in building production grade, scalable AI systems.
• Expert in supervised/unsupervised learning, deep learning, NLP, computer
  
  

vision, or generative AI (e.g., LLMs).

• Strong ML system architecture skills
• Understanding of model serving, API development (FastAPI, Flask), and
  
  

optimizing model performance for real-time or batch inference.

• General Knowledge of Docker, Kubernetes, CI/CD pipelines, and tools like
  
  

MLflow/Kubeflow for model lifecycle management (MLOps)

• Comfortable with deploying models on AWS or Azure
• Minimum Educational qualifications: Bachelor's degree in Computer Science,
  
  

Engineering, or related field required

Classified: Internal FAB

Internal

• Preferred Education qualifications: Master or PhD in Computer Science or a
  
  

related field.