About the Role
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 build AI-driven components that optimize ad delivery, targeting, pricing, and campaign performance while leveraging Snowflake’s AI / ML capabilities for scalable data modeling and analysis.
This role is ideal for candidates with at least 2-3 year of hands-on experience in AI / ML and a passion for applying data-driven intelligence in AdTech and cloud-based 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, Snowflake Cortex AI, 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 largescale advertising and performance datasets stored in Snowflake.
- Monitor, retrain, and maintain production ML models ensuring real-time accuracy and low latency.
- Support deployment and continuous improvement of AI / ML pipelines within programmatic advertising systems.
- Integrate and optimize Snowflake ML models for data preparation, training, and inference within AdTech use cases.
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).Proficiency with Snowflake (data modeling, Snowpark, Cortex AI / ML functions, UDFs, etc.) is a strong advantage.Familiarity with AdTech systems such as SSP, DSP, DMP, and RTB (Real-Time Bidding).Experience with AWS AI / ML services (SageMaker, Comprehend, Bedrock) or other cloud ML platforms.Strong Python skills and experience with frameworks like TensorFlow, PyTorch, or scikit-learn.Ability to analyze business and campaign data and convert them into scalable AI solutions.Strong problem-solving skills, analytical mindset, and attention to detail.Good to Have (Optional) :
Experience with Snowflake AI / ML, Snowpark for Python, or Cortex AI for datadriven modeling.AWS Machine Learning Specialty or AI Practitioner certifications.Experience with RAG systems, LLMs, or Generative AI for AdTech applications.Knowledge of MLOps and CI / CD pipelines for model deployment.Exposure to automated campaign optimization, bid strategy modeling, or user segmentation algorithms.Who Can Apply :
Candidates with minimum 2-3 year of experience in AI / ML model development and implementation.Professionals with strong AI / ML and data fundamentals and an interest in AdTech and Snowflake-based automation systems.Why Join Us :
Work with modern AI / ML technologies, Snowflake Cortex AI, and open-source frameworks.Collaborate with a skilled and supportive data and engineering team.Opportunity to implement AI / ML and Snowflake-driven intelligence that directly impacts business success.Flexible, learning-oriented culture with growth into advanced AI / ML and data engineering solutions.