Working proficiency in a modern programming language, ideally Python. What makes this internship exciting is the mix of real business exposure and advanced……
Beyond technical skills, we value candidates who are able to work across both software engineering and applied AI use cases, particularly in practical,……
Experience with large-scale model training or multi-modal (vision-language) learning; Collaborate with product and engineering teams to integrate models into……
This is a strategic role that works closely with cross-functional teams, including product, engineering, and the broader field organization to ensure successful……
Familiarity with software engineering practices including Git, testing strategies and maintainable code. Uphold engineering standards through code reviews,……
Strong programming skills in at least one language (Python, Java, C++, etc.). /Machine Learning cross-functional team, collaborating with various business/……
Backed by our indigenous capabilities and deep domain expertise, we offer robust cyber-secure products and services in cryptography, cybersecurity engineering,……
Write thorough unit and integration tests; contribute to the team’s culture of engineering quality. Supporting 2.5 billion active Apple devices, processing……
Experience should be in a hands-on capacity within cybersecurity, IT operations, or a related field. Partner with peer security engineering teams on integrated……
Can write clean, maintainable code and apply strong software engineering judgment across product architecture, infrastructure, backend systems, and developer……
Design, develop, and implement machine learning models and algorithms to solve complex business problems. Collaborate with cross-functional teams, including……
Bachelor's degree or higher in Computer Science, Data Science, Engineering, Computer Engineering, Mathematics, Statistics, Business Analytics, or a related……
Under general supervision, a Data Scientist will perform data engineering, data modeling or model deployment. Build and deploy machine learning, deep learning,……
Collaborate with product and engineering to resolve blockers and translate field insights into roadmaps, building internal tools to drive organizational……
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Mathematics, or a related quantitative field. 3+ years in technical engineering leadership.…
Multi-language programming proficiency; ability to read, reason about, and contribute to code across the full stack. Technical Depth & Hands-On Contribution.…
Hybrid work setup: ~2–3 days in office per week. Establish engineering quality through testing (pytest), observability (OpenTelemetry), and clean architecture.…
Optimization Engine Development: Design and implement the core constraint optimization logic, leveraging frameworks like Google OR-TOols or similar solvers to……
You will work on training and adapting Generative/Foundation models (vision, language, planning, VLA models, swarm reasoning) and deploying them onto edge and……
Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. Master’s degree or PhD in AI, Computer Science, or a……
Data catalogue development — document data assets in a structured, accessible catalogue: field definitions, data types, quality observations, and coverage gaps.…
Faculty/Department-Level Unit: Centre for Hydrogen Innovations. Apply AI/ML models and screening algorithms for the accelerated design and structural discovery……
We are one of the largest global private markets investment managers, serving over 800 institutional investors worldwide. We have USD 185 billion in assets under management and around 2,000 professionals across 24 offices worldwide. Partners Group is an equal opportunity employer committed to cultural diversity.
What it's about
As an AI Engineering Intern in our AI Pods, you'll get hands-on experience working alongside experienced engineers at the heart of the business, helping to explore, prototype, and deliver real AI solutions. You'll contribute to building LLM-powered products—learning how ideas move from discovery to first value, and how successful solutions are scaled through reusable components and strong governance over trusted, AI-ready data. What makes this internship exciting is the mix of real business exposure and advanced applied AI (RAG, agents, extraction, evaluation), all within a highly collaborative, agile environment where responsible AI, data governance, and risk controls are part of everyday practice from day one.
Key responsibilities
Support the team in identifying and exploring potential AI use cases, including basic research to inform buy-vs-build discussions.
Assist in designing and delivering AI prototypes, contributing across problem definition, experimentation, and pilot stages.
Help build AI-powered features and components under the guidance of senior engineers.
Contribute to the development of datasets, retrieval pipelines, and reasoning workflows across different business functionalities.
Explore integrations with vendor AI platforms and internal AI solutions, learning to reuse existing capabilities where possible.
Help instrument solutions to track adoption, quality, and performance metrics.
Collaborate with the technology team to learn how secure, compliant, and supportable solutions are built.
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What we expect
Currently pursuing or recently completed a Bachelor's in Computer Science, Data Science, Artificial Intelligence / Machine Learning, Software Engineering, or a related discipline.
Interest in the financial industry and a curiosity to learn about financial markets (prior exposure is a plus, not a requirement).
Some practical experience with ML/AI concepts through coursework, personal projects, hackathons, internships, or open-source contributions.
Awareness of cloud platforms (AWS preferred); any AWS learning paths or certifications are a plus.
Working proficiency in a modern programming language, ideally Python.
Familiarity with databases such as PostgreSQL, MS SQL, Snowflake, or similar—through coursework or projects.
Foundational understanding of how to build software applications (e.g., Python, APIs, basic system integration, testing).
Exposure to teamwork on software projects, with an appreciation for code quality, good design, and collaboration.
Familiarity with the software development lifecycle, version control (e.g., Git), and an interest in modern DevOps practices.
Ability to break down ambiguous problems into smaller tasks and communicate progress clearly.
Awareness of the importance of working responsibly with sensitive/confidential data, and a willingness to learn about governance, risk, and security practices.
Strong collaboration and communication skills—comfortable asking questions and working with people across business and technology teams.
Driven, curious, self-starter with an inclusive, team-oriented mindset and eagerness to learn.
What we offer
Partners Group is a global financial institution distinguished by the culture, pace, and agility of a start-up. As a growing organization, we are dedicated to attracting, developing, and retaining top talent by creating a workplace where achievements are acknowledged and rewarded. The internship provides an excellent platform for growth and learning, including:
A professional, international, and high performing work environment
The opportunity to work within a matrix organization alongside cross-functional, international stakeholders
Exposure to multiple private market asset classes, including private equity, infrastructure, real estate, credit, and royalties
A collaborative environment with on-the-job training and mentorship opportunities
Participation in enjoyable office and team events, including volunteering activities that support local communities
At Partners Group, we value innovative ideas that benefit our clients, employees, and communities. We welcome individuals eager to contribute to a humble, inclusive, and transparent workplace. As an equal opportunity employer, Partners Group is dedicated to fostering diversity within our team.
www.partnersgroup.com
Please be aware, fraudsters may pose as Partners Group recruiters. All genuine representatives can be identified by a verified sign on their LinkedIn profiles. If you suspect fraud or have doubts, contact us immediately at hr@partnersgroup.com
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