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Job Description

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.

More Info

About Company

Job ID: 153768807

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