Design, build, and maintain scalable data pipelines and ETL/ELT processes using Databricks and Apache Spark. Implement CDC solutions and collaborate with cross-functional teams to support analytics and AI/ML use cases.
Blanc Labs
9 Remote Job Openings at Blanc Labs
Design and maintain scalable data pipelines and lakehouse architectures using Databricks and Unity Catalog. Develop semantic data models, ontologies, and knowledge graphs using RDF, OWL, and Neo4j to support enterprise analytics.
Design and deliver production-grade agentic AI systems on Azure, moving solutions from MVP to scalable enterprise platforms. Lead the architecture of end-to-end pipelines and collaborate with cross-functional teams to ensure platform reuse and reliability.
Design and lead enterprise data architecture strategies, including the implementation of scalable data platforms and ETL/ELT pipelines. Collaborate with AI teams to build architectures supporting GenAI and machine learning workloads while ensuring data governance and quality.
Lead the design and evolution of cloud-native applications and modernize legacy monolithic systems into distributed microservices. Actively participate in coding, design reviews, and mentoring engineering teams to ensure technical solutions align with business goals.
Lead the design and evolution of scalable cloud-native architectures and modernize legacy monolithic systems into microservices. Actively participate in hands-on software development, code reviews, and mentoring engineering teams to ensure technical alignment with business goals.
The Senior Machine Learning Engineer will lead the end-to-end development and lifecycle management of machine learning models using proprietary data. Responsibilities include building scalable production-grade systems, collaborating with cross-functional teams, and ensuring model performance through continuous monitoring and improvement.
The Senior AI Engineer will design, build, and deliver AI-powered features by integrating large language models into production systems. They will collaborate with ML engineers to develop end-to-end solutions, optimize prompts, and ensure the scalability and reliability of AI applications.
The role involves analyzing enterprise processes to identify automation opportunities and designing/implementing AI strategies using GenAI and agentic systems to optimize operations across domains like procurement and inventory. Key tasks include developing architecture mappings and translating business needs into actionable, scalable AI solutions.
