Senior AI/ML Engineer

JOB DESCRIPTION : Senior AI/ML Engineer

Company Name: PRMAI AI-First Procurement SaaS * * PRM360

ROLE: AI/ML Engineer

LEVEL: Senior

LOCATION: Hyderabad

EMPLOYMENT: Full-Time

DEPARTMENT: AI / Engineering

EXPERIENCE: 3 - 5 Years

EDUCATION: B.E / B.Tech / M.Tech

Build the AI brain behind next-generation procurement.

COMPANY INTRODUCTION

Acads360 India Private Limited (PRMAI PRM360) is an AI-first Procurement SaaS company headquartered in Hyderabad, on a mission to reimagine how enterprises manage spend, sourcing, and supplier relationships. Our platform fuses deep procurement domain expertise with cutting-edge AI/ML to deliver real-time insights, intelligent automation, and measurable ROI to global enterprises.

We are a fast-scaling product company where engineers don’t just write code they build the intelligence layer that powers autonomous, data-driven procurement decisions for some of the world’s largest organizations.

JOB OVERVIEW

We are looking for a Senior AI/ML Engineer to lead the design, development, and deployment of production-grade machine learning and GenAI systems that sit at the heart of the PRMAI platform. This is a high-impact, hands-on role for an engineer who thrives on solving complex, real-world problems — from spend classification and supplier risk prediction to LLM-powered contract intelligence — at enterprise scale.

You will operate as a technical owner: architecting models, mentoring engineers, and partnering closely with product and engineering leadership to translate AI research into shippable, revenue-driving features. Prior exposure to SaaS, Procure-to-Pay (P2P), or Supply Chain Management (SCM) domains will be a strong differentiator.

KEY RESPONSIBILITIES

AI/ML Solution Design & Ownership

• Architect, build, and own end-to-end ML/AI models for procurement use cases — spend classification, supplier risk scoring, demand forecasting, and anomaly detection.
• Design and fine-tune LLM-based solutions for contract intelligence, document extraction, conversational AI, and intelligent recommendations.
• Drive model selection, experimentation, and rigorous evaluation to ensure production-grade accuracy, robustness, and fairness.

Applied Engineering & MLOps

• Build scalable, production-ready ML pipelines covering data ingestion, feature engineering, training, deployment, and monitoring.
• Deploy and maintain models as REST APIs / microservices integrated into the PRMAI platform, optimizing for latency, cost, and reliability.
• Champion MLOps best practices — CI/CD for models, versioning, A/B testing, drift detection, and observability.

Technical Leadership & Mentorship

• Mentor junior and fresher AI/ML engineers; review code, model designs, and experiment methodology.
• Set technical standards and best practices for the AI/ML function, influencing architecture decisions across the platform.
• Partner with data engineering, product, and QA teams to translate business problems into scalable AI solutions.

Research & Innovation

• Stay ahead of emerging AI/ML and GenAI research; rapidly prototype and evaluate applicability to procurement workflows.
• Explore agentic AI, RAG pipelines, and advanced NLP techniques to unlock new product capabilities.
• Represent PRMAI’s AI capability in customer/stakeholder conversations where technical depth is required.

KEY SKILLS

Mandatory Skills

• 3-5 years of hands-on experience building and deploying ML/AI models in production environments.
• Strong proficiency in Python and ML frameworks: scikit-learn, TensorFlow, PyTorch.
• Deep understanding of ML fundamentals — supervised/unsupervised learning, deep learning, model evaluation, and optimization.
• Hands-on experience with NLP and LLMs — Hugging Face Transformers, LangChain, prompt engineering, RAG architectures, and vector databases.
• Strong data manipulation and analysis skills using Pandas, NumPy, and SQL.
• Experience deploying models via REST APIs / microservices, with solid understanding of MLOps (CI/CD, model monitoring, versioning).
• Working knowledge of cloud platforms (AWS, GCP, or Azure) for ML training and deployment.

Good to Have Skills

• Exposure to SaaS, Procure-to-Pay (P2P), or Supply Chain Management (SCM) domains — highly preferred.
• Experience with agentic AI frameworks and orchestration tools (LangGraph, AutoGen, or similar).
• Famil…