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AI Lead Engineer

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Job Description - AI Lead Engineer

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 are related field
  • Must have 3 -5 years of experience in ML / AI
  • Must have experience in traditional machine learning algorithms like Clustering, regressions, random forest, deep learning etc.
  • 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 SageMakerPipelines 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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