Artificial Intelligence Engineer

AI Engineer with 6–10 years of experience designing and deploying scalable AI/ML solutions for AdTech platforms covering targeting, bidding, personalization, attribution, and real-time analytics.

The role requires strong engineering fundamentals with hands‑on ML model development, data pipelines, and real‑time decision systems, leveraging modern distributed and cloud‑based architectures.

• Develop and deploy AI/ML models for:
• Ad ranking & bidding optimization
• Fraud detection & anomaly detection
• Build and optimize end-to-end ML pipelines
  :
• Data ingestion, feature engineering, training, and inference
• Batch & real‑time model serving
• Design real‑time decisioning systems for high‑throughput, low‑latency environments.
• Collaborate with data engineers and architects to ensure:
• High‑quality feature stores and model lifecycle management
• Drive experimentation frameworks (A/B testing, causal inference) to continuously optimize performance metrics.
• Ensure privacy‑aware and compliant AI solutions aligned with data governance frameworks.

• Bachelor’s/Master’s in Computer Science, Data Science, AI/ML, or related field.
• 6–10 years of experience in AI/ML engineering / Data Science engineering roles.
• Strong programming skills in:
• Python (mandatory)
• Java or C++ (preferred)
• Hands‑on experience in:
• ML frameworks (Tensor Flow, PyTorch, XGBoost)
• Distributed processing (Spark, Flink)
• SQL & No
  
  SQL databases
• Experience building production‑grade ML pipelines and scalable data systems

• Experience in AdTech / Mar Tech / Retail Media ecosystems
• Exposure to:
• Recommendation systems
• Real‑time bidding systems
• Familiarity with:
• Privacy and regulatory frameworks (GDPR, data compliance)