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Open nowPosted 268 days ago

AI Lead Engineer - GPM - Chennai

Getinz Techno Services50 open roles

Where
Chennai, India
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Your applicationOpen nowAI Lead Engineer - GPM - ChennaiGetinz Techno Services · Chennai, India

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12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 268 days ago

The posting

Job Title : AI Lead Engineer Experience: 10-15years Location: Chennai

About the Company:

Our client is leading media company, cutting-edge AdTech company revolutionizing programmatic advertising by empowering brands, agencies, and media partners to seamlessly plan, buy, and optimize cross-platform campaigns.

Role Overview:

We are looking to hire a AI Lead engineer with 10+ years of overall experience and 2+ years of relevant experience to join a highly collaborative and agile team. If you have experience in product companies or startups and thrive on solving complex technical challenges, this is the perfect opportunity for you!

Required Qualifications:

  • Bachelor’s or Master’s degree in computer science, Machine Learning, Data Science, or a related field
  • 2+ years of experience in ML model development and deployment, ideally in media, ad tech, or programmatic advertising
  • Strong programming skills in Python and experience with ML frameworks (e.g., Scikit-learn, XGBoost, TensorFlow, Light)
  • Deep understanding of auction theory, real-time bidding (RTB), supply path optimization (SPO), and bid landscape modelling
  • Proven expertise in audience modelling, identity graphs, targeting, and predictive analytics
  • Experience with cloud platforms and large-scale data systems. Design, develop, and deploy machine learning models using AWS SageMaker, Automate ML workflows using SageMaker Pipelines and integrate with other AWS services (Lambda, S3, CloudWatch, etc.) Performing data preprocessing, feature engineering, and model evaluation. Monitor model performance and retrain models as needed.

Preferred Qualifications:

  • Experience in reinforcement learning, Bayesian optimization, or economic modelling for pricing strategies
  • Knowledge of computer vision (CV) or natural language processing (NLP) for media content tagging or classification
  • Exposure to privacy-safe technologies, clean rooms, or federated learning
  • Prior work with ML Ops platforms like MLflow, Weights & Biases, or Kubeflow.

Educational Qualification:

B.E/B.Tech

Other Details:

Notice Period: 30 days

Work Type: Full-time

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