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Job SummaryWe seek an accomplished Senior Data Scientist to lead our advanced analytics and AI initiatives.Lead AI/Machine Learning Strategy: Develop technical roadmaps and standards for complex AI systems, focusing on Generative AI, large language models, and specialized models in Computer Vision and NLP.The ideal candidate has deep expertise in Big Data technologies, multi-cloud environments, and cutting-edge AI domains. Strong experience with Apache Spark, Scala, Hive, and cloud platforms (AWS, Azure, GCP) is required. Advanced knowledge of Generative AI, Large Language Models, Computer Vision, and NLP is also essential.This role requires excellent leadership and communication skills to drive projects from research to production deployment. Exceptional ability to translate complex technical findings into clear recommendations for both technical and executive audiences is necessary.Key Responsibilities: Ai/ml Strategy & ArchitectureBig Data EngineeringCross-Cloud ExecutionRequired Skills and ExpertiseData Engineering: Programming: 10+ years of extensive experience with Apache Spark, strong preference for production development using Scala. Deep expertise with Apache Hive for data querying and management. Cloud Proficiency: Demonstrated expertise in deploying and managing data/ML workloads across at least two major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery). Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques, and data warehousing concepts in a cloud-native context.AI/ML Specialization: Generative AI & LLMs: Proven experience with the architecture and implementation of Generative AI solutions, including prompt engineering, fine-tuning, and deploying Large Language Models. Computer Vision: In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO). NLP: Expert practical experience in NLP techniques, including transformer models, embedding generation, and building complex text-based applications.Leadership & Communication: Technical Leadership: Proven track record of leading complex data science projects from research to production deployment. Communication: Exceptional ability to translate complex technical findings into clear, strategic recommendations for technical and executive audiences. Mentorship: Experience mentoring and training senior engineers and data scientists.