Data Scientist Architect - Only Immediate To 30 days joiners

Job Description

Job Title: Data Scientist Architect Location: Pan India - hybrid Experience: 8+ years Position Overview: We are seeking a Data Scientist Architect to lead and drive data science and architecture initiatives within Brillio. The ideal candidate will have a deep understanding of data science, data engineering, and architecture, and be highly proficient in implementing cutting-edge solutions using tools like DataBricks, AWS, and Bedrock/Mistral . The role requires an individual with extensive experience in designing, building, and deploying large-scale data systems and machine learning models, along with the ability to lead and mentor cross-functional teams. As a Data Scientist Architect, you will have the opportunity to innovate and make a lasting impact across our diverse client base, providing them with tailored solutions that drive their data strategy forward. Key Responsibilities: Lead Data Architecture & Science Initiatives: Design and implement advanced data architectures and solutions to support complex data science and machine learning workflows. Build and deploy scalable, production-grade data pipelines and models leveraging cloud platforms like AWS and tools like DataBricks. Architect solutions involving large-scale data ingestion, transformation, and storage, focusing on performance, scalability, and reliability. Platform Development & Integration: Implement and manage cloud-based infrastructure for data engineering, analytics, and machine learning on platforms like AWS, leveraging services like S3, Lambda, EC2, etc. Work with Bedrock/Mistral to deploy and manage machine learning models at scale, ensuring continuous optimization and improvement. Skills and Qualifications: Experience: 8+ years of experience in Data Science, Data Architecture with a focus on large-scale data systems and cloud platforms. Proven track record of leading data science architecture projects from inception to deployment. Technical Skills: Proficiency in DataBricks, AWS (S3, EC2, Lambda, Redshift, SageMaker, etc.), and Bedrock/Mistral.