ML Data Scientist

Role Overview: You will be joining Marcom, the globally led creative team at Apple responsible for consumer-facing marketing. Your role as an ML Engineer will involve leading the machine learning project lifecycle, designing virtual assistants, and developing advanced analytics to drive innovation and solve business challenges with AIOps expertise. Key Responsibilities: - Drive the entire machine learning project lifecycle with best practices and software delivery. - Lead the design and development of virtual assistants using Conversational AI platforms. - Engage with business stakeholders and leverage LLM technologies for advanced analytic solutions. Qualification Required: - 5-7 years of experience implementing AI/ML models in enterprise systems. - Deep understanding of AI/ML concepts, including supervised and unsupervised learning, deep learning, anomaly detection, and large language models. - Expertise in Python and relevant libraries and frameworks (e.g., Pandas, Numpy, TensorFlow). - Relevant experience in designing, developing, and deploying conversational bots. - Experience working with Prometheus, Splunk, Datadog, and Grafana. - Experience in NLP, NLU, ML, and Conversational AI. - Expertise in seamlessly integrating bot systems with backend systems, databases, and APIs for smooth data exchange and interactions. - Excellent troubleshooting and analytical skills in a complex, distributed environment. - Excellent communication, presentation, and collaboration skills. - Self-starter, capable of working independently.,