Verified Job
IT / Software / Data Analyst
Strategic Data Science Lead
IT / Software / Data Analyst
#649592
Remote / WFH
Job Description
Advanced Analytics & AI Leadership Position:
We are seeking a senior data scientist with over 10 years of experience to lead our advanced analytics and artificial intelligence initiatives.
• Key Responsibilities: Define strategic objectives for AI/ML, architect and deploy complex systems, design high-throughput pipelines, and develop production-grade models in Computer Vision, NLP, and Generative AI.
• Requirements: Expertise in Big Data, Cloud Computing, Advanced AI/ML Specialization, and Leadership & Soft Skills is required.
Required Skills and Expertise:
• Programming & Big Data: 10+ years of extensive hands-on experience with Apache Spark and Hive.
• Cloud Proficiency: Demonstrated expertise in deploying and managing data/ML workloads across at least two major cloud platforms.
• Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques, and data warehousing concepts in a cloud-native context.
• Generative AI & LLMs: Proven experience with architecture and implementation of Generative AI solutions.
• Computer Vision: In-depth knowledge of deep learning frameworks and experience with Computer Vision tasks.
• NLP: Expert practical experience in NLP techniques, including transformer models and embedding generation.
We are seeking a senior data scientist with over 10 years of experience to lead our advanced analytics and artificial intelligence initiatives.
• Key Responsibilities: Define strategic objectives for AI/ML, architect and deploy complex systems, design high-throughput pipelines, and develop production-grade models in Computer Vision, NLP, and Generative AI.
• Requirements: Expertise in Big Data, Cloud Computing, Advanced AI/ML Specialization, and Leadership & Soft Skills is required.
Required Skills and Expertise:
• Programming & Big Data: 10+ years of extensive hands-on experience with Apache Spark and Hive.
• Cloud Proficiency: Demonstrated expertise in deploying and managing data/ML workloads across at least two major cloud platforms.
• Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques, and data warehousing concepts in a cloud-native context.
• Generative AI & LLMs: Proven experience with architecture and implementation of Generative AI solutions.
• Computer Vision: In-depth knowledge of deep learning frameworks and experience with Computer Vision tasks.
• NLP: Expert practical experience in NLP techniques, including transformer models and embedding generation.
