AI/ML顾问
AI / ML Consultant
（该职位可在欧洲任何地方全职远程办公）
AI/ML顾问
我们相信
技术不再仅仅是业务战略的推动者，而是业务战略本身。随着人工智能重塑公司的运营、竞争和增长方式——同时迅速加快变化的速度——其重要性从未如此之高。
我们的职责
我们专注于帮助私募股权投资者和组合公司领导人通过技术实现价值创造。在投资者每年向软件和技术驱动型企业投入数万亿美元的世界里，我们是确保底层技术真正发挥作用的团队。
我们的方法
我们经验丰富的从业者的专业判断，辅以经过验证的框架、技术驱动的解决方案和客观数据，帮助组织在尽职调查、转型、增长、网络安全、AI和运营执行等方面做出关键的技术决策。
我们重视的品质
我们的一切行动都基于五个核心价值观：服务精神。好奇心。可信度。承诺。创造力。
如果你热衷于解决复杂的技术挑战，并在关键时刻帮助他人取得成功，你将在这里找到归属感。
简介
- 与科技公司合作，识别现有技术、组织、流程和用于开发软件产品和服务的工具的改进空间。
- 与私募股权公司和其他投资公司合作，帮助他们理解潜在投资的技术优势、风险和改进机会（即技术尽职调查）。
- 从零开始设计和实施解决方案（例如敏捷方法论转型），指导和培养更初级的软件开发人员和其他工程师。
- 与内部和客户的技术负责人及团队成员合作工作。
预期成果
- 在前两个项目中作为助理顾问，之后能够独立驱动项目顺利完成，包括协作、项目管理和实际操作
- 代表投资公司参与并推动AI评估工作，协作深入分析，为投资者撰写一份概述技术投资风险的报告
- 参与实际操作的实施项目，使用最适合你的流程和技术，在此过程中获得出色的客户反馈
- 与科技公司合作，识别
查看英文原文
(This role can be based from anywhere in Europe on a fully remote basis)
AI / ML Consultant
What we believe
Technology is no longer just an enabler of business strategy. It is the business strategy. And with AI reshaping how companies operate, compete and grow — while rapidly accelerating the pace of change — the stakes have never been higher.
Our role
We’re focused on helping private equity investors and portfolio company leaders drive value creation through technology. In a world where investors deploy trillions annually into software and tech-enabled businesses, we're the team that makes sure the underlying technology actually delivers.
Our approach
The expert judgment of our experienced practitioners is complemented by proven frameworks, tech-enabled solutions, and objective data to help organizations navigate critical technology decisions across diligence, transformation, growth, cybersecurity, AI, and operational execution.
What we value
Everything we do is grounded in five core values: Service. Curiosity. Credibility. Commitment. Creativity.
If you're energized by solving complex technology challenges and helping others succeed in critical moments, you'll fit right in.
Overview
- Work with technology companies to identify improvements of existing technology, organizations, processes, and tools used to develop software products and services.
- Work with private equity companies and other investment firms to help them understand the technology strengths, risks, and opportunities for improvement for potential investments (I.e. technical due diligence)
- Design and implement solutions from scratch (e.g. Agile methodology transformations), guiding and mentoring more junior software developers and other engineers.
- Collaboratively work in partnership with internal and client technical leads and team members.
Expected Results
- Be an apprentice consultant for your first 2 projects and then be willing and able to drive a project on your own to successful completion, including collaboration, project management, and getting your hands dirty
- Participate in and drive AI assessment efforts on behalf of investment companies, collaborating, digging deep, and creating a report for the investors to outline technical investment risks
- Participate in hands-on implementation projects using processes and technologies that are most applicable to you, producing stellar customer feedback along the way
- Work with technology companies to identify improvements of existing AI technology, organizations, processes, and tools.
- Work with private equity companies and other investment firms to help them understand the technology strengths, risks, and opportunities for improvement for potential investments.
- Collaboratively work in partnership with internal and client technical leads and team members
Required qualifications:
- 10+ years of experience in the fields of advanced analytics, data science, ML, analytical AI; current knowledge of Generative AI , in roles such as Lead / Sr Scientist, Lead for Analytics / ML / AI, at tech companies or consulting firms
- AI and Data Science Skills : In-depth expert-level experience in Data Science domain (data mining, statistics, machine learning, etc.) and AI domain:
- Analytical and generative AI
- Evaluation of available data assets and their profile
- Current knowledge of LLM landscape, commercial and open course
- Model selection, training, fine-tuning
- Model efficacy metrics, bias management
- IP considerations
- ML Ops and related tooling
- Cloud hosting options and self-hosting, and related economics
- Multi-modal AI (text, NLP / voice, images, video)
- AI-enabled software engineering
- Be willing to learn and take on new areas that may be outside of your initial comfort zone
- Passion towards making others great and making a high-performing team even better
- An action-oriented personality – you know how to get stuff done
- Ability to work from home (or an office of your choosing) and be self-directed, but also effectively collaborate with the team in both a remote and in-person capacity
- Advanced degree in computer science, statistics, advanced analytics, data science, machine learning, AI
Originally posted on Himalayas