Partners Group
Partners Group
Partners Group ir globāla ieguldījumu sabiedrība, kas koncentrējas uz privātajiem tirgiem, tostarp privāto kapitālu, infrastruktūru, nekustamo īpašumu, privāto kreditēšanu un autoratlīdzībām. Kopš 1996. gada uzņēmums izmanto integrētu ieguldījumu platformu, lai identificētu un attīstītu uzņēmumus un aktīvus ar potenciālu kļūt par tirgus līderiem. Uzņēmums apkalpo institucionālos un privātos klientus, piedāvājot pielāgotus ieguldījumu risinājumus, un savā pieejā integrē ilgtspēju un stingru korporatīvo pārvaldību.

AI Engineer (On-site) at Partners Group

Build production-ready LLM applications for Partners Group, a global private markets investment manager. Work across retrieval-augmented generation, AI agents, data pipelines, and governed enterprise AI.

Apraksts

  • Work with business stakeholders to discover, prioritize, and define high-value AI opportunities
  • Evaluate whether AI capabilities should be developed internally or sourced from vendors
  • Own AI product delivery from initial problem framing through prototyping, piloting, and production transition
  • Develop AI solutions spanning data pipelines, retrieval systems, and reasoning workflows
  • Connect third-party AI platforms with internally developed AI capabilities
  • Add measurement for adoption, quality, business impact, ROI, costs, and risk
  • Work alongside technology teams to deliver secure, compliant, auditable, and maintainable solutions
  • Perform fast, iterative evaluation of AI solutions
  • Create reusable components, implementation patterns, and tools that support broader adoption

Prasības

  • Bachelor’s or master’s degree in data science, computer science, AI/ML, software engineering, quantitative finance, or a related discipline
  • At least five years of software engineering experience
  • Experience in financial services and a strong understanding of financial markets
  • At least two years of experience putting ML or AI solutions into production
  • Demonstrated ability to take LLM applications from prototype through deployment and monitoring
  • Strong proficiency in Python
  • Ability to design and develop maintainable, high-quality software for enterprise environments
  • Practical understanding of the software development lifecycle (SDLC)
  • Practical experience with version control systems
  • Practical knowledge of contemporary DevOps practices
  • Ability to turn unclear business requirements into defined scopes, delivery roadmaps, and measurable success criteria
  • Experience handling confidential data and collaborating with governance, risk, and security teams is desirable
  • AWS Certified Machine Learning Engineer – Associate certification or equivalent is desirable

Priekšrocības

  • Competitive pay package with a daily lunch allowance
  • International professional setting with global exposure
  • Collaborative working culture
  • Access to business learning from industry leaders and experienced professionals
  • High-quality workplace in a state-of-the-art building
  • Multiple dining choices available on site
  • Free gym membership with included fitness classes
  • Regular office gatherings and team activities
  • Opportunities to volunteer with local communities
  • Bonuses linked to performance
  • Demanding opportunities for career growth
  • Practical, hands-on training
  • Structured mentorship programs
  • Ongoing learning through the PG Academy platform
  • Sabbatical leave of one month after each five years of service

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