AI Lead Engineer

This role is for one of the Weekday's clients

Salary range: Rs 3000000 - Rs 5000000 (ie INR 30-50 LPA)

Min Experience: 10 years

Location: Chennai

JobType: full-time

The AI Lead Engineer will play a critical role in designing, building, and scaling advanced machine learning solutions within a highly collaborative and agile environment. This role is suited for experienced professionals with a strong background in product companies or startups who enjoy solving complex, real-time technical challenges and leading ML initiatives end to end.

Key Responsibilities

• Design, develop, and deploy machine learning models for large-scale, real-time systems, particularly in media, ad tech, or programmatic advertising domains.
• Lead end-to-end ML workflows including data preprocessing, feature engineering, model training, evaluation, deployment, and monitoring.
• Build and operationalize ML pipelines using AWS SageMaker, SageMaker Pipelines, and related AWS services such as Lambda, S3, and CloudWatch.
• Develop models for auction dynamics, real-time bidding (RTB), supply path optimization (SPO), bid landscape modeling, and pricing optimization.
• Drive audience modeling, identity resolution, targeting, and predictive analytics initiatives.
• Monitor model performance in production, perform retraining, and continuously improve model accuracy and efficiency.
• Collaborate closely with data engineering, product, and platform teams to align ML solutions with business and product goals.
• Provide technical leadership and mentorship to junior ML and data science team members.

Required Qualifications

• 10+ years of overall professional experience, with at least 2+ years of hands-on experience in machine learning model development and deployment.
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related discipline.
• Strong programming expertise in Python and experience with ML frameworks such as Scikit-learn, XGBoost, TensorFlow, or LightGBM.
• Deep understanding of auction theory, RTB ecosystems, supply path optimization, and bid modeling techniques.
• Proven experience in audience modeling, identity graphs, targeting systems, and predictive analytics.
• Hands-on experience with cloud platforms and large-scale data processing systems, preferably on AWS.

Preferred Qualifications

• Experience with reinforcement learning, Bayesian optimization, or economic and pricing models.
• Knowledge of computer vision (CV) or natural language processing (NLP) for media classification or content tagging.
• Exposure to privacy-preserving ML techniques, clean rooms, or federated learning.
• Familiarity with MLOps platforms such as MLflow, Weights & Biases, or Kubeflow.

Additional Details

• Education: B.E / B.Tech
• Work Type: Full-time
• Notice Period: Up to 30 days

Key Skills

• Artificial Intelligence & Machine Learning
• Data Science
• Python Programming
• AWS SageMaker & MLOps
• Predictive Modeling & Optimization