Staff Generative AI Researcher, World Models
General Motors
Lead research into diffusion-based world models for General Motors’ autonomous vehicles. Advance generative AI, simulation, and Level 3 autonomy through large-scale research.
Ochish
Partners Group — xususiy aksiyalar, infratuzilma, ko‘chmas mulk, xususiy kredit va royalti kabi xususiy bozor yo‘nalishlariga e’tibor qaratadigan global investitsiya kompaniyasi. Kompaniya 1996-yildan beri bozor yetakchisiga aylanish salohiyatiga ega kompaniya va aktivlarni aniqlash hamda rivojlantirish uchun integratsiyalashgan investitsiya platformasidan foydalanib keladi. Uning faoliyati institutsional va xususiy mijozlarga moslashtirilgan investitsiya yechimlarini taqdim etishga qaratilgan bo‘lib, barqarorlik va kuchli korporativ boshqaruv kompaniya yondashuvining ajralmas qismidir.
Data Engineer in Singapore (Onsite)
Build scalable data pipelines and platforms supporting Partners Group’s private-markets investment operations. Deliver reliable data for transaction processing, valuation, portfolio management, and ESG monitoring.
Tavsif
- Create and implement scalable capabilities for data ingestion, transformation, and distribution
- Develop and maintain data platforms, datasets, and reusable data products
- Design logical and physical data models suited to each use case and platform standard
- Increase the availability, performance, observability, recoverability, and cost efficiency of data services
- Automate data operations, quality checks, deployments, and maintenance processes
- Develop and operate data pipelines with modern orchestration technologies
- Use sound engineering practices to strengthen data quality, lineage, and reliability
- Work with business stakeholders to clarify information needs and service expectations
- Coordinate with Solution Engineers and Solution Architects on integrations and solution architecture
- Partner with source-system and downstream teams to resolve data-quality and interface problems
- Build access controls, security, privacy, retention, and governance into data services
- Keep data processing aligned with approved lineage, quality, and operational-control standards
Talablar
- Bachelor’s or master’s degree in Computer Science, Information Technology, Engineering, or a quantitative field preferred
- At least three years of experience in data engineering, solution engineering, or database development, preferably in financial services
- Proven ability to build data pipelines and platforms with strong programming and SQL skills
- Clear communicator who works effectively as part of a team
- Hands-on expertise with relational databases, data warehouses, and SQL
- Advanced knowledge of Snowflake
- Practical experience with ETL technologies and data-pipeline orchestration
- Understanding of business intelligence, such as Qlik, and advanced data analytics concepts
- Advanced programming ability in Java and/or Python
- Experience with AWS services including RDS, Fargate, and Glue
- Familiarity with AI coding assistants such as GitHub Copilot, Cursor, or Claude Code
- Experience working with SAFe, Kanban, or Scrum
- Experience with PostgreSQL and Microsoft SQL Server
- Experience with Apache Airflow and Control-M
- Experience with React and TypeScript
- Experience with Kafka, Amazon SQS, and Amazon Kinesis
Imtiyozlar
- Professional environment with an international scope
- Challenging and rewarding career opportunities in a growing company
- Collaborative workplace offering on-the-job training and mentorship
- 25 days of vacation
- One-month sabbatical after each five years of service
- Lunch stipend
- Office and team events, including volunteer activities supporting local communities
O‘xshash ish o‘rinlari
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