AI/ML Engineer

Employment Type: 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 work on building AI\-driven components that optimize ad delivery, targeting, pricing, and campaign performance. This role is ideal for candidates with at least 2\+ years of hands\-on experience in AI/ML and a passion for applying data\-driven intelligence in AdTech 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 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 large\-scale advertising and performance datasets. * Monitor, retrain, and maintain production of ML models ensuring real\-time accuracy and low latency. * Support deployment and continuous improvement of AI/ML pipelines within programmatic advertising systems. 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). * Familiarity with AdTech systems such as SSP, DSP, DMP, and RTB (Real\-Time Bidding). * Experience with AWS AI/ML services (SageMaker, Comprehend, Bedrock, etc.) or other cloud ML platforms. * Proficiency in Python, TensorFlow, PyTorch, or similar frameworks. * 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): * AWS Machine Learning Specialty or AI Practitioner certifications. * Experience with RAG systems, LLMs, or Generative AI for AdTech use cases. * Knowledge of MLOps and CI/CD pipelines for model deployment. * Exposure automated campaign optimization, bid strategy modeling, or user segmentation algorithms. Who Can Apply: * Candidates with minimum 3 years of experience in AI/ML model development and implementation. * Professionals with strong AI/ML fundamentals and a keen interest in AdTech systems and automation. Why Join Us: * Work with modern AI/ML technologies and open\-source frameworks. * Collaborate with a skilled and supportive data and engineering team. * Opportunity to implement AI/ML strategies that directly impact business success. * Flexible, learning\-oriented work culture with growth into advanced AI/ML solutions. Pay: ₹800,000\.00 \- ₹1,000,000\.00 per year Benefits: * Flexible schedule Work Location: In person Note: This is a third party job (Aggregated by careeruplift.ai). Shortlisting and Final hiring decision & process is handled by the company.