We are looking for an AI/ML Engineer to design and implement intelligent workflows powering our AdTech platforms — including SSP, DSP, and programmatic bidding systems. You’ll work on building AI-driven components that optimize ad delivery, targeting, pricing, and campaign performance. This role is ideal for candidates with at least 2+ years of hands-on experience in AI/ML and a passion for applying data-driven intelligence in AdTech environments.

Key Responsibilities:· Analyze existing AdTech workflows (SSP, DSP, bidding systems) and identify opportunities for AI/ML optimization.

· Design, implement, and fine-tune machine learning models to improve ad targeting, CTR prediction, bidding efficiency, and campaign ROI.

· Work with open-source AI/ML models and AWS AI/ML services to develop scalable AdTech solutions.

· Implement RAG (Retrieval-Augmented Generation) and other advanced AI strategies for data-driven campaign recommendations.

· Collaborate with Data Engineers, Analysts, and AdOps teams to leverage large-scale advertising and performance datasets.

· Monitor, retrain, and maintain production of ML models ensuring real-time accuracy and low latency.

· Support deployment and continuous improvement of AI/ML pipelines within programmatic advertising systems.

Required Skills:· Strong understanding of AI/ML fundamentals, model development, and deployment strategies.

· Hands-on experience training and fine-tuning models (e.g.,



regression, classification, ranking, NLP).

· Familiarity with AdTech systems such as SSP, DSP, DMP, and RTB (Real-Time Bidding).

· Experience with AWS AI/ML services (SageMaker, Comprehend, Bedrock, etc.) or other cloud ML platforms.

· Proficiency in Python, TensorFlow, PyTorch, or similar frameworks.

· Ability to analyze business and campaign data and convert them into scalable AI solutions.

· Strong problem-solving skills, analytical mindset, and attention to detail.

Positive to Have (Optional):· AWS Machine Learning Specialty or AI Practitioner certifications.

· Experience with RAG systems, LLMs, or Generative AI for AdTech use cases.

· Knowledge of MLOps and CI/CD pipelines for model deployment.

· Exposure automated campaign optimization, bid strategy modeling, or user segmentation algorithms.

Who Can Apply:· Candidates with minimum 3 years of experience in AI/ML model development and implementation.

· Professionals with strong AI/ML fundamentals and a keen interest in AdTech systems and automation.

Why Join Us:· Work with modern AI/ML technologies and open-source frameworks.

· Collaborate with a skilled and supportive data and engineering team.

· Opportunity to implement AI/ML strategies that directly impact business success.

· Flexible, learning-oriented work culture with growth into advanced AI/ML solutions.

📌 AI/ML Engineer (Bengaluru)
🏢 XorStack
📍 Bengaluru