Associate Data Scientist, AI Engineering

Jobtailor; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Jobtailor in Bengaluru, India is seeking an AI/ML Engineer to design and deploy advanced ML models and GenAI applications. The role emphasizes building scalable data pipelines, optimizing model performance, and collaborating with cross-functional teams to embed AI into business processes.

You will work with Python, traditional ML methods, LLMs, LangChain, and cloud platforms, and you will stay current with AI advancements, including RAG and vector databases, to deliver impactful solutions.

Qualifications

• Strong Python programming skills and practical ML knowledge.
• Solid understanding of traditional ML models and statistics.
• Experience with GenAI tools and LLMs (OpenAI, LangChain, HuggingFace).
• Familiarity with prompt engineering and LLM fine-tuning.
• Exposure to cloud platforms (Azure preferred).

Responsibilities

• Design and implement ML models including regression, classification, clustering, and optimization.
• Build and deploy GenAI applications using LLMs for summarization, sentiment analysis, and content generation.
• Collaborate with cross-functional teams to identify opportunities for AI integration into business processes.
• Conduct research on emerging GenAI technologies and frameworks (e.g., LangChain, LlamaIndex).
• Fine‑tune and optimize models for performance, scalability, and accuracy.
• Develop and maintain robust data pipelines and workflows.
• Stay updated with the latest advancements in AI, ML, and NLP.

Skills

Python

ML models & statistics

GenAI tools

LLMs

Prompt engineering

Azure cloud

Tools

LangChain

Streamlit

Vector databases

OpenAI APIs

HuggingFace

RAG

Job description

Responsibilities

• Design and implement ML models including regression, classification, clustering, and optimization algorithms.
• Build and deploy GenAI applications using LLMs for tasks such as summarization, sentiment analysis, and content generation.
• Collaborate with cross-functional teams to identify opportunities for AI integration into business processes.
• Conduct research on emerging GenAI technologies and frameworks (e.g., LangChain, LlamaIndex).
• Fine‑tune and optimize models for performance, scalability, and accuracy.
• Develop and maintain robust data pipelines and workflows.
• Stay updated with the latest advancements in AI, ML, and NLP.

Requirements

• Strong programming skills in Python.
• Solid understanding of traditional ML models and statistical techniques.
• Proficiency in working with GenAI tools and technologies such as LLMs, Retrieval‑Augmented Generation (RAG), OpenAI APIs, LangChain, Streamlit, and vector databases.
• Hands‑on experience with LLMs and GenAI tools (e.g., OpenAI, HuggingFace).
• Familiarity with prompt engineering and LLM fine‑tuning.
• Exposure to cloud platforms (Azure preferred).

Core Competencies

Demonstrates expertise in designing and implementing machine learning models, particularly in regression, classification, and clustering, while leveraging GenAI tools for application development. Proficient in optimizing model performance and maintaining data pipelines, with a strong foundation in Python programming and familiarity with cloud platforms.