The Role The Sr. Machine Learning Engineer will join our Nexxen DSP Software Development group. In this hands-on role, you will work in close collaboration with data scientists to build the next generation of applied data science infrastructure for real-time performance optimization and machine learning solutions. The right person for this role should be experienced in crafting implementation for either machine learning technologies or data-driven algorithms. If you are someone who is proactive and innovative in these domains, this is a phenomenal role for you! What you will do Develop critical high-performance, large-scale services for Nexxen DSP Programmatic integrations and Platform product Drive ground-breaking innovation and apply state of the art AI and machine learning in a variety of areas to enhance real-time ad scoring and ranking system for bid optimization Develop scalable and efficient approaches for large scale data analysis and model development Build and experiment new algorithms and models end-to-end, from production rollout to continuous optimization Collaborate with data scientists, engineering teams, product managers, and program managers in an open and creative environment Help troubleshoot production and customer issues Follow agile methodologies and work in a fast-paced environment where one can quickly see the results of the work being performed Who you are Bachelor in Computer science or related field of study 5+ years of engineering experience working at leading technology companies. A history of successfully taking ownership of features/functionality and delivering end-to-end project Strong knowledge of and experience implementing AI/ML technologies (Neural Network, ONNX), mathematics, and statistics Expertise in Java, Python, and Scala In-depth knowledge of data structures and algorithms Experience building applications on top of large-scale ML/DL frameworks (TensorFlow, PyTorch) Expertise working with data processing tech stack (Spark, MapReduce) Expertise in building data-driven services and applications (ETL) Experienced with interdisciplinary collaborations with Data Science, Product, and Business stakeholders A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required Strong communication skills with the ability to communicate complex concepts to non-technical stakeholders Desired Qualifications MS or PhD in computer science or equivalent experience. Experience within AdTech industry. Experience in LLM and GenAI.