TL;DR

Staff Data Scientist (AI): Designing and implementing end-to-end GenAI and Agentic AI solutions, leveraging AWS Bedrock and Databricks with an accent on building Retrieval Augmented Generation (RAG) pipelines and multi-agentic systems. Focus on optimizing generative AI models, fine-tuning, prompt engineering, and implementing systems to detect and address model drift.

Location: Work remotely from home or anywhere in their assigned Indian state. Additionally, you can work from a different country or Indian state for 90 days of the year.

Company

%hirify_global% is building a business management platform designed to save small businesses time and money, providing business accounts and related banking services, as well as a comprehensive set of connected administrative solutions.

What you will do

Design and implement end-to-end GenAI and Agentic AI solutions, leveraging AWS Bedrock and Databricks.
Build and optimize generative AI models, with a focus on fine-tuning and prompt engineering, using frameworks like LangChain and LangGraph.
Collaborate with ML engineers to deploy models, establish CI/CD pipelines for GenAI, and implement robust model tracking and observability.
Implement systems to detect and address model drift, hallucinations, and safety guardrail failures.
Develop and plan our roadmap for our domain analytics and data engineering & science team.
Build and track metrics for the performance of our Engineering & Science team and provide feedback to Product and Business Teams.

Requirements

You have 10+ years of experience in Software development or Machine Learning with 4+ years of product management experience and at least 2 years as a Product Owner embedding data initiatives into products especially Data Science and Machine Learning.
Hands-on experience with LangGraph or similar frameworks for building reusable and scalable multi-agentic workflows.
Deep understanding of prompt engineering, RAG pipeline design, and fine-tuning techniques for LLMs.
Hands-on experience with both quantitative and qualitative evaluation metrics for GenAI, including benchmarks for RAG pipelines and methods for assessing the reliability and performance of agentic systems.
You can prioritise ML Data Science and Machine Learning product roadmaps for the respective businesses based on OKRs and priorities.
You have good technical knowledge in SQL, strong in Python programming.

Culture & Benefits

Make work, work for you! We are embracing new ways of working and support flexible working arrangements.
Competitive salary.
Self & Family Health Insurance.
Term & Life Insurance.
Mental wellbeing through Plumm.
WFH Setup allowance.