Machine Learning Engineer

Overview:

TresVista is looking to hire an Associate in its Data Intelligence Group team. This role is perfect for a candidate eager to learn and adapt to the evolving landscape of AI-powered financial solutions. You'll work on the development and deployment of cutting-edge technology that combines Large Language Models (LLMs), Agents, Knowledge Graph, and vector search in Cloud environment to revolutionize how we analyze investments, process due diligence documents, and extract insights from complex financial data.

Roles and Responsibilities:

Design, develop, test, and maintain the software components and ML pipelines

Implement core components including memory, routing, cache, feedback, and chains to enable our in-house AI agents

Collaborate cross-functionally with business, front-end, back-end and data teams

[LangChain/LangGraph] Build sophisticated multi-agent AI workflows for automated investment analysis

[LLM] Prompt engineering techniques for various LLM providers including Anthropic Claude, Google Gemini, and Open AI

[Backend/FastAPI] Build scalable systems that can handle large-scale document processing during due diligence

[Backend/FastAPI] Develop FastAPI applications that serve AI-powered insights to investment teams [Backend/FastAPI] Implement secure authentication and data access controls for sensitive financial information

[Cloud/GCP] Experience in Redis for caching and coordination

(Nice to have) Familiarity with Pinecone vector search and Neo4j Knowledge Graph database

Prerequisites

Bachelors degree in computer science, Engineering and above

Strong programming fundamentals in Python

2-5 years of professional experience in software engineering or equivalent internship / coursework / projects involving data analysis, machine learning, or software development

Genuine curiosity about AI technology and its applications in finance

Strong critical thinking and problem-solving skills

Eagerness to learn new technologies and adapt to rapidly evolving tools

Excellent communication skills for collaborating with investment professionals

Detail-oriented approach to handling sensitive financial data

Experience

2-5 years

Education

BTech/MTech/BE/ME/MBA in Analytics

Compensation

The compensation structure will be as per industry standard