Analyst II, Engineering

Role Overview

Revantage is a global corporate services leader proudly serving Blackstone portfolio companies and investments. We are looking for motivated individuals to join our team as Analyst – AI Engineer. This role is ideal for recent graduates or professionals with 0–2 years of experience who are eager to build strong foundations in AI engineering while working on real‑world, production‑oriented systems. This position requires curiosity, analytical thinking, and a strong motivation to learn, combined with an interest in building end‑to‑end AI‑driven systems.

Responsibilities

• Developing AI‑driven systems, agents, and data workflows and maintaining AI pipelines, including data preparation, model experimentation, and evaluation.
• Build and support backend APIs, services, and workflows using Python or similar languages.
• Work on LLM‑based systems and GenAI solutions, including prompt‑driven workflows and automation use cases.
• Collaborate with product and engineering teams to understand requirements and contribute to design and architecture discussions.
• Work with real behavioural and operational data pipelines to generate insights and power AI use cases.
• Participate in documentation, testing, and continuous improvement of AI and backend services.

Requirements

• Strong analytical and problem‑solving skills with the ability to work in a collaborative, fast‑paced environment.
• Programming experience in Python or similar languages, including building services or scripts.
• Solid understanding of core machine learning concepts such as supervised and unsupervised learning, model evaluation, overfitting/regularization, and basic feature engineering.
• Basic SQL experience and understanding of structured/unstructured data.
• Basic understanding of backend development concepts, REST APIs, and data handling.
• Bachelor’s or Master’s degree in Computer Science, AI/ML, Engineering, or a related technical discipline.

Nice to Have

• Exposure to GenAI tools and LLM APIs such as OpenAI, Claude, or Gemini.
• Exposure to cloud platforms such as AWS or Azure.
• Awareness of full‑stack concepts (frontend, backend, APIs).

Skills

• Python
• SQL
• Machine Learning
• LLM
• AWS