Senior Associate

Axtria - Ingenious Insights; Bengaluru; On-site; INR 1,000,000 - 1,800,000; Full time

Job summary

Axtria - Ingenious Insights in Bengaluru, India, seeks an AI/ML Engineer with 3+ years of hands-on experience to build state-of-the-art, scalable ML models and operationalize them, as well as design AI Agent workflows and pipelines using modern workbench production.

You will work in a collaborative, fast-paced team, mastering Python data science, ML frameworks, and cloud platforms to deliver production-ready AI solutions with strong problem-solving and self-motivated learning.

Qualifications

• 3+ years hands-on experience in AI/ML development and deployment.
• Strong Python data-science skills with ML model operationalization.
• Experience designing and deploying AI agent workflows and pipelines.
• Familiarity with modern workbenches and production-grade tooling.

Responsibilities

• Develop scalable ML models and operationalize them for production.
• Design, deploy, and monitor AI agent workflows and pipelines.
• Collaborate in large teams using Git, Jira and Confluence.
• Work with cloud platforms AWS, Azure, or GCP to deploy solutions.
• Apply prompt engineering, RAG pipelines, and memory/context management for multi-step agents.
• Keep up with LLM lifecycle management including fine-tuning and evaluation.

Skills

Python

NumPy

Pandas

Scikit-learn

Seaborn

PyCaret

Matplotlib

TensorFlow

NLTK

Stanford NLP

PyTorch

Ling Pipe

Caffe

Keras

SparkML

OpenAI

Git

Jira

Confluence

AWS

Azure

GCP

LangChain

LangGraph

AutoGen

CrewAI

Prompt engineering

RAG

Memory management

LLM lifecycle management

Tools

Git

Jira

Confluence

OpenAI API

Job description

Job Summary: -

AI/ML Engineer with good hands-on experience of 3+ years in developing state of the art and scalable Machine Learning models and their operationalization, as well as designing and deploying AI Agent workflows and pipelines, leveraging off-the-shelf workbench production.

Job Summary: -

AI/ML Engineer with good hands-on experience of 3+ years in developing state of the art and scalable Machine Learning models and their operationalization, as well as designing and deploying AI Agent workflows and pipelines, leveraging off-the-shelf workbench production.

Job Responsibilities: -

• Hands on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib
• Proficiency in Python and common Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML and OpenAI etc.)
• Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence
• Good understanding of any of the cloud platform – AWS, Azure or GCP
• Understanding of Commercial Pharma landscape and Patient Data / Analytics would be a huge plus
• Should have an attitude of willingness to learn, accepting the challenging environment and confidence in delivering the results within timelines. Should be inclined towards self motivation and self-driven to find solutions for problems.
• Agent Ops: Hands‑on experience in designing, deploying, and monitoring AI agent workflows using any frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or equivalent agentic orchestration tools
• Experience with prompt engineering, tool/function calling, RAG (Retrieval-Augmented Generation) pipelines, and memory/context management for multi-step agentic systems
• Familiarity with LLM lifecycle management including fine‑tuning, evaluation, guardrails, and deployment of foundation models via APIs (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, or equivalent)

Experience operationalizing agent-based systems including observability, tracing, latency optimization, cost monitoring, and failure handling for production-grade deployments