Key Responsibilities
Engage and collaborate with business stakeholders, quants, and other market researchers to deeply understand the problem space.
Experiment, iterate, productionize AI/ML solutions.
Build supporting data and Ai/ML infrastructure and tools.

Required Skills and Qualifications
Strong knowledge of the latest advancements in AI and machine learning.
Solid fundamentals in computer science.
Proficiency in Python and at least 1 other language such as Java, C++, C#, etc.
Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud).
Experience with using LLMs and with techniques such as prompt engineering, PEFT, fine-tuning, etc.
Ability to build and evaluate AI models and tools using quantifiable metrics.




Excellent problem-solving skills and ability to work independently as well as part of a team.
Robust communication skills to effectively collaborate with developers and other stakeholders.
Adaptable and willing to work in a start-up-like workplace within a major institution.

Preferred Qualifications
Advanced degree in Computer Science, AI, Machine Learning, or a related field.
Experience in developing AI solutions for financial institutions.
Knowledge of additional programming languages and frameworks.
7+ years of relevant experience.

📌 Ai Engineer Bengaluru (India)
🏢 Millenium Infotech
📍 India