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Lead AI and data-science strategy for a grocery retailer’s supply-chain and store-execution platforms, building forecasting, optimization, and agentic-AI systems to cut waste and out-of-stocks.
Build and deploy ML models and Generative AI solutions to solve business problems, using Python, PyTorch, and cloud tools in a product-focused team.
Leads AI/ML architecture and team for Albertsons’ supply chain and store execution, designing forecasting, replenishment, and agentic AI systems to optimize retail operations at scale.
Builds and maintains scalable data pipelines for security analytics using tools like Splunk and Cribl, processing large datasets in AWS/Azure to support Marriott’s cybersecurity operations.
Build and deploy ML/AI models (traditional and generative) in Python/R/SQL, lead end-to-end projects, and mentor teams to drive business outcomes.
Builds and maintains data pipelines, analyzes raw data, and develops ETL processes using Python, Java, and SQL to support business insights and modeling.
Assists in building and maintaining a consumer banking analytics platform, translating business needs into SQL-based reports and dashboards while reconciling data across financial systems.
Build and deploy ML models for search, recommendations, and generative AI across Adobe’s content ecosystem, including Firefly and Creative Cloud, using Python, TensorFlow/PyTorch, and distributed systems.
Designs and implements scalable data storage, ETL pipelines, and cloud-based data architectures while ensuring security and quality for enterprise clients.
Build and deploy production-grade AI and GenAI solutions for banking products, using Python, TensorFlow/PyTorch, and cloud-native tooling.
Lead AI Engineer builds and deploys ML models and Gen-AI agentic apps in Python using TensorFlow/PyTorch, integrating them into production systems for Westpac’s banking products.
Builds and optimizes data pipelines and microservices using Python, Java/Spring Boot, and cloud-native tools like Airflow, Snowflake, and Azure.
Builds and maintains Java-based backend services using Spring, Kafka, and big-data tools like Hadoop and Flink, while following Agile practices and TDD.
Build and deploy AI-powered cloud applications and data pipelines, working with large-scale datasets and modern cloud tech to deliver scalable AI solutions for SAP customers.
Build and migrate data pipelines from legacy systems to new Hadoop-based data marts using SQL, Python, and Hive/Impala, ensuring accurate reporting and documentation.
Build and deploy generative AI models and autonomous agents to optimize logistics workflows using LLMs, RAG, and vector databases.
Build and maintain cloud data pipelines, warehouses, and ETL processes using GCP/Azure/AWS, PySpark, Databricks, and BI tools for enterprise analytics.
Ciklum is looking for a Senior Support Engineer to join our team full-time in Ukraine. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most…
About the Team: CIO Production Management The CIO Production Management team provides critical business and technical support across the Chief Information Officer (CIO) organization which comprises of Securities,…
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