Junior GenAI Engineer

Company Description

MLAI_Digital is a GenAI_Agentic Specialised Organisation(8 Years old) providing Various Cognitive Products well suited for major BFSI Institutions.

Offices in US(ohio) ,Singapore (PTE), Malaysia , India and Australia(MEL)

Domain expertise : - FINANCIAL INSTITUTIONS(Banks & Insurance) and Fraud Analytics for Financial Transactions

Role Description

This is a full-time on-site role for a GenAI Engineer located in Mumbai.

Apply for a highly demanded new age job – a Data Scientist / GenAI LLM Engineer.

Be part of MLAI Digital team working in Mumbai and delivering projects to world leaders in various fields, like Finances, Insurance and others.

Working at the edge of AI / ML technologies we help our clients to leverage the value of unstructured data, to uncover the hidden power of accumulated enterprise information.

As an LLM engineer, you will have the opportunity to apply your deep expertise in LLM / GenAI technologies. Your main responsibility will be collaborating closely with clients to prototype, build, test, and deploy products powered by GenAI / LLM technology on a large scale.

Additionally, you will play a key role in fine-tuning the hyperparameters of LLM models, optimizing their configuration to ensure the overall model performance and enhance the overall model performance to drive positive outcomes for clients.

Skills / Qualifications : -

Work with Python, LLM / GenAI frameworks and tools AI / ML end-to-end solutions developing

CI / CD pipelines development, LLM model containerizing and deployment on cloud or premise. Models testing and follow-up maintenance. All stages of ML model life cycle ensuring and support.

Programming experience in Scala or Python, SQL

• Hands-on experience in Azure stack (Azure Data Lake, Azure Data Factory, Azure Databricks)  Mandatory
• Ability to code
• Ability to use word to create required technical documentation
• Soft Skills
• Excellent written and verbal skills (English)
• Flexible
• Self-Starter
• Team Player or individual contributor