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Technical Lead, AI/ML
Lead AI/ML engineering for autonomous telecom networks, designing models for anomaly detection, fault prediction, and self-healing systems using cloud-native tools.
Amazon Sr. Specialist Solutions Architect, Data, AWS
Designs and advises on AWS-based data platforms for Japanese enterprises, enabling AI agents to process and analyze data while driving adoption of analytics, search, and streaming services.
Data Analyst
Analyzes banking and financial data to ensure quality, consistency, and compliance with frameworks like DAMA/DCAM, using SQL, Python, and data platforms such as Hadoop and Teradata.
Senior Backend Engineer
Build and deploy large-scale AI-powered recommendation systems for eBay’s global ecommerce platform, using distributed backend tech, big data pipelines, and GenAI/LLM models to personalize shopping experiences.
Expert Data Science
Job Description Summary Understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute…
Data & AI Engineer
Designs and maintains cloud-based data pipelines and builds LLM-powered AI agents and generative AI applications for clients, working across the full stack from ETL to retrieval-augmented systems.
Vice President, Data Analytics
Leads data analytics initiatives for a bank, including AI, customer analytics, and campaign management, using Python, SQL, and visualization tools to drive business decisions.
Business Analyst Specialist
Designs and implements marketing technology solutions to improve customer engagement across digital channels, collaborating with marketing, data science, and engineering teams using CRM and analytics platforms.
Software Engineer III - Cloud Data Platform
Design and build cloud-native, large-scale data and analytics SaaS services for property and casualty insurers using Java, Scala, Kafka, Spark, and cloud platforms.
Machine Learning, Vice President
Leads AI/ML research and development for wealth management, building and deploying models like LLMs and recommender systems to enhance client experiences and advisor tools at a global financial firm.
Machine Learning, Assistant Vice President
Design and deploy machine learning models for Wealth Management clients, using Python, deep learning frameworks, and cloud platforms to build recommender systems, LLMs, and GNNs.
IN_Senior Associate_Azure Data Engineer_Data & Analytics_Advisory_Hyderabad
Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on…
IN_Senior Associate_Data Engineer_Emerging Businesses_Advisory_Bangalore
Line of Service Advisory Industry/Sector Not Applicable Specialism Operations Management Level Senior Associate Job Description & Summary At PwC, our people in software and product innovation focus on developing…
Data Engineer - Manager
Line of Service Internal Firm Services Industry/Sector Technology Specialism IFS - Information Technology (IT) Management Level Manager Job Description & Summary About the role: You’ll be joining our Data & AI…
Senior Data Engineer
We are seeking a highly skilled Senior Data Engineer to join our team. The ideal candidate will have extensive experience in designing and implementing scalable data solutions, working with large datasets, and building…
Senior Data Engineer (GCP, PySpark, Dataproc)
Senior Data Engineer builds and maintains PySpark ETL pipelines on GCP Dataproc, integrating PostgreSQL, SAP HANA, and S3-compatible storage for a public-sector data platform in the Middle East.
Service Reliability Engineer (SRE)
Designs, tunes, and fixes multi-tiered systems to ensure high performance, stability, and availability for Apple’s global services like App Store, Apple Music, and Apple TV, using Java, Spark/Flink, AWS, Kubernetes, and bare-metal infrastructure.
Java Site Reliability Engineer (SRE) - Warsaw hybrid
Maintains and optimizes critical, high-availability applications for Value Added Services, focusing on reliability, performance, and proactive incident prevention in a hybrid Warsaw role.