Chief AI Architect

21 hours ago

amravati, India beBeeDataScientist Full time

Job TitleA highly experienced Data Scientist SME is required to lead the development of AI and machine learning strategies, architectures, and models.Lead AI/ML Strategy & Architecture: Define technical roadmaps 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.Design Big Data Engineering: Develop 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.Key Responsibilities:Developing and Optimizing Models: Design and optimize models for image recognition, object detection, and video analytics in Computer Vision tasks.Building Sophisticated Systems: Build sophisticated systems for sentiment analysis, entity extraction, semantic search, and RAG architectures leveraging LLMs in NLP.Exploring GenAI Techniques: Explore and implement cutting-edge GenAI techniques for content creation, data augmentation, and innovative product features.Required Skills and Expertise:Programming and Big Data: 10+ years of extensive experience with Apache Spark, with 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 of the three 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.

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