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AI / ML Engineer 2-3 Years Experience

AI / ML Engineer 2-3 Years Experience

XorstackDindigul, IN
10 hours ago
Job description

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.
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