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Build and scale a feature platform that powers real-time ML ad recommendations, handling batch and streaming pipelines with Python, Flink, and Spark to serve low-latency features for model inference.
Build and deploy enterprise-grade AI and ML solutions, including Generative AI apps with LLMs, RAG, and vector databases, to solve complex business problems for SAP customers.
Build and deploy enterprise-grade AI and ML solutions for SAP customers, integrating LLMs, RAG, and vector databases into production systems.
Lead the design and deployment of enterprise AI platforms on Google Cloud using Vertex AI and Gemini, optimizing for scalability, security, and cost while implementing RAG, agentic solutions, and MLOps pipelines.
Build and deploy ML models end-to-end for e-commerce pricing, forecasting, recommendations, and A/B testing to drive revenue and margin.
The Manager: AI Architecture is responsible for designing, governing, and evolving the organization’s end-to-end Artificial Intelligence (AI) architecture. The role ensures AI solutions are scalable, secure, ethical,…
Designs, builds, and deploys ML/AI models and Generative AI solutions for banking and healthcare clients, spanning the full AI lifecycle from data prep to MLOps.
Build and deploy ML models using Python, TensorFlow/PyTorch, and MLOps tools; integrate AI features into products and optimize performance.
Build and deploy production-grade ML models, LLM integrations, and automation pipelines for enterprise clients using Python, TensorFlow/PyTorch, and cloud platforms.
Build and optimize ML models, LLMs, and RAG systems using Python, TensorFlow, and PyTorch, and deploy them on cloud platforms like AWS or Azure.
Build and maintain data infrastructure and AI-ready datasets for a global asset manager, partnering with quants and engineers to support investment strategies and automated decision-making.
Designs and leads AI systems using LLMs, transformers, and agent frameworks, setting standards for model safety, performance, and MLOps pipelines.
Build AI/ML models and graph analytics for telecom network autonomy, using Python, BigQuery, and KPI engineering to predict faults, optimize performance, and support AIOps and digital twin systems.
Build and operate a global renewable-energy data platform, engineering pipelines and AI-ready datasets on Azure/Microsoft Fabric to power analytics and ML at scale.
Build and deploy ML models and anomaly detection systems to detect and prevent fraud for a fast-growing African fintech platform.
Build and deploy ML models to extract insights and predict outcomes for clients, using Python/R and collaborating with cross-functional teams.
Design and build enterprise-scale graph data platforms using TigerGraph on AKS Kubernetes to power fraud detection, financial crime analytics, and customer intelligence with graph-based ML and real-time analytics.
Designs and maintains AI-ready data pipelines, feature stores, and curated datasets to power machine learning models, generative AI, and real-time analytics using cloud-native tools.
Build and own scalable data pipelines and analytics infrastructure for a global crypto exchange, using SQL, Python, GCP/BigQuery, and dbt to deliver clean, reliable datasets for business insights.
Lead a machine learning team to build deep-learning scoring models (pCTR/pCVR) for Sponsored Offers in a large Polish e-commerce marketplace, using Python, PyTorch/TensorFlow, and GCP.
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