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Job Description

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Role Overview

Senior AI/ML Engineer


Key Responsibilities

  • Design, develop, train, and deploy

    AI/ML models

    for complex business use cases.
  • Perform

    data preprocessing, feature engineering, model selection, tuning, and optimization

    .
  • Build and maintain

    scalable ML pipelines

    integrated with production systems.
  • Collaborate with

    product managers, backend engineers, and business stakeholders

    .
  • Deploy and monitor ML models on

    AWS, Azure, or GCP

    .
  • Work with structured and unstructured datasets at scale.
  • Apply best practices for

    model evaluation, performance monitoring, and retraining

    .
  • Contribute to

    LLM-based and Generative AI solutions

    (prompting, fine-tuning, embeddings – advantage).
  • Document models, experiments, and system designs.
  • Stay updated with latest AI/ML advancements and recommend improvements.

Required Skills & Qualifications

  • 7+ years of experience in

    AI/ML Engineering

    .
  • Strong expertise in:
  • Machine Learning & Deep Learning
  • NLP frameworks
  • Hands-on experience with:
  • TensorFlow, PyTorch, Scikit-learn

  • Hugging Face (preferred)

  • Strong proficiency in

    Python

    and ML libraries.
  • Experience deploying ML models on

    AWS / Azure / GCP

    .
  • Solid understanding of

    data structures, algorithms, and system design

    .
  • Experience with

    LLMs and Generative AI

    is a strong plus.

Nice to Have

  • Experience with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI).
  • Exposure to RAG pipelines, vector databases, or embeddings.
  • Experience working in Agile environments.

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