Data Practice Lead
Rysun Labs Inc
Benefits:
Dental insurance
Health insurance
Paid time off
Vision insurance
Rysun Labs (formerly KCS – Krish Compusoft Services) is an AI, Data & Digital innovation partner of choice for enterprises. Rysun guides and accelerates the AI & Data strategy and Digital Transformation programs for Fortune 2000 enterprises and product startups to shape remarkable customer experiences and intelligent operations. The team delivers innovative, specialized solutions that help High-tech, Retail & Ecommerce, and Energy companies to outperform competition and lead the change in their industry. Rysun partners with Microsoft, Google and AWS to bring the best of enterprise technology to its customers. Rysun believes in quality-first and is CMMI Level 5, ISO 9001 & 27001 certified. The team has a growth mindset fueled by a strong culture of collaboration that unifies its global teams across US, UK, India & South Africa (a proud Level 2 B-BBEE Contributor).
We are seeking an experienced Data Practice Lead to design and implement scalable, enterprise-grade AI and data solutions. The ideal candidate will have deep technical expertise in artificial intelligence, data science, and cloud platforms, along with a proven ability to translate business needs into innovative, high-performing architectures.
Key Responsibilities:
Define and implement end-to-end AI and data Practice Lead for enterprise-scale applications.
Design data pipelines, ETL workflows, and data models to support machine learning and analytics solutions.
Architect Agentic AI and Generative AI solutions, ensuring scalability, performance, and security.
Collaborate with product managers, data scientists, and engineering teams to design robust, production-ready AI models.
Establish best practices for MLOps, data governance, and cloud-native deployments.
Evaluate and integrate emerging AI frameworks, tools, and cloud services (Azure, AWS, GCP).
Provide technical leadership and architectural guidance to engineering teams across multiple projects.
Partner with stakeholders to align technology strategy with business goals and drive innovation
Technical Skills:
Experience architecting AI/ML SaaS solutions with high revenue impact.
Familiarity with CrewAI, LangChain, and RAG-based GenAI architectures.
Certifications in Big Data, Machine Learning, or Cloud Architecture
Flexible work from home options available.
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