AI ML Engineer

About the Role

Xorstack is seeking a dedicated AI/ML Engineer to contribute to the innovation and enhancement of its AdTech platforms, including SSP, DSP, and programmatic bidding systems. This full-time role involves crafting intelligent workflows that advance ad delivery, targeting, pricing, and campaign effectiveness through AI-driven methods. Ideal candidates possess over two years' experience in AI/ML with a passion for applying data-centric intelligence within AdTech.

Key Responsibilities

• Examine and evaluate existing AdTech workflows like SSP, DSP, and bidding systems to spot areas where AI/ML can enhance performance.
• Develop, implement, and refine machine learning models aimed at boosting ad targeting accuracy, click-through rate predictions, bidding tactics, and overall campaign ROI.
• Leverage open-source AI/ML models along with AWS AI/ML services to create scalable solutions tailored to AdTech needs.
• Deploy advanced AI methods such as Retrieval-Augmented Generation (RAG) for insightful, data-driven campaign recommendations.
• Work in partnership with Data Engineers, Analysts, and Ad Operations teams by utilizing expansive advertising and performance datasets.
• Maintain production ML models with continuous monitoring and retraining to ensure real-time accuracy and minimal latency.
• Support the roll-out and ongoing enhancement of AI/ML pipelines integrated into programmatic advertising systems.

Required Skills

• Deep knowledge of AI/ML principles including model development and deployment techniques.
• Practical experience in training and fine-tuning machine learning models covering regression, classification, ranking, and natural language processing.
• Understanding of AdTech components such as SSP, DSP, DMP, and Real-Time Bidding (RTB).
• Exposure to AWS AI/ML services including SageMaker, Comprehend, Bedrock, or familiarity with other cloud-based ML platforms.
• Proficient programming abilities in Python alongside frameworks like TensorFlow and PyTorch.
• Competence in translating business challenges and campaign data sets into scalable AI-driven solutions.
• Strong analytical thinking, problem-solving acumen, and meticulous attention to detail.

Additional Advantages (Optional)

• Possession of AWS Machine Learning Specialty or AI Practitioner certifications.
• Experience with AI concepts like RAG systems, large language models (LLMs), or generative AI tailored for AdTech applications.
• Familiarity with machine learning operations (MLOps) and continuous integration/continuous deployment (CI/CD) practices for AI model deployment.
• Understanding of automated campaign optimization methods, bid strategy modeling, or user segmentation techniques.

Who Can Apply

• Applicants with at least three years' experience specifically in AI/ML model creation and application.
• Professionals possessing a robust foundation in AI/ML and interest in AdTech system automation.

Why Join Us

• Collaborate with advanced AI/ML technologies and open-source frameworks in a progressive environment.
• Engage with an accomplished and cooperative engineering and data science team.
• Drive impactful AI/ML initiatives that fuel business growth and success.
• Enjoy a flexible and learning-driven culture encouraging personal and professional development into advanced AI/ML solutions.