Ai/Ml Engineer 2-3 Years Experience

3 weeks ago

Yelahanka, India Xorstack Full time

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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