Senior AI Strategist

24 hours ago

Jodhpur, India beBeeDataScientist Full time

AI Visionary LeaderA seasoned and accomplished AI Visionary Leader is required to spearhead our cutting-edge analytics initiatives. This pivotal role demands technical mastery across large-scale data technologies, multi-cloud environments, and specialized AI domains.The principal technical leader will drive strategy, set standards, and deliver high-impact solutions that transform business outcomes. Key responsibilities include defining AI/ML strategy and architecture, designing big data engineering pipelines, cross-cloud execution, and specialized model development in Computer Vision, NLP, and Generative AI.AI/ML Strategy & Architecture: Define the technical roadmap and architectural standards for deploying and scaling complex AI systems, particularly those involving Generative AI (GenAI), large language models (LLMs), and specialized models in Computer Vision and NLP.Big Data Engineering: Design, build, and optimize high-throughput, distributed data pipelines and features using Apache Spark (Scala) and Hive on massive datasets to support model training and inference.Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency.Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models in key specialized areas:Computer Vision: Developing and optimizing models for image recognition, object detection, and video analytics.NLP: Building sophisticated systems for sentiment analysis, entity extraction, semantic search, and RAG architectures leveraging LLMs.Generative AI: Exploring and implementing cutting-edge GenAI techniques for content creation, data augmentation, and innovative product features.Key Qualifications: Big Data and Cloud Mastery: 10+ years of extensive, hands-on experience with Apache Spark, strong preference for production development using Scala; demonstrated expertise in deploying and managing data/ML workloads across at least two major cloud platforms; expert knowledge of distributed systems, data partitioning, optimization techniques, and data warehousing concepts in a cloud-native context. Advanced AI/ML Specialization: Proven experience with the architecture and implementation of Generative AI solutions, including prompt engineering, fine-tuning, and deploying Large Language Models (LLMs); in-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO); expert practical experience in NLP techniques, including transformer models, embedding generation, and building complex text-based applications. Leadership & Soft Skills: Proven track record of leading complex data science projects from research to production deployment; exceptional ability to translate complex technical findings into clear, strategic recommendations for technical and executive audiences; experience mentoring and training senior engineers and data scientists.

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