AI/ML Engineer 3-5 Years Experience

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. Youll build AI-driven components that optimize ad delivery, targeting, pricing, and campaign performance while leveraging Snowflakes AI/ML capabilities for scalable data modeling and analysis.

This role is ideal for candidates with at least 3-5 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 3-5 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.