Head Of AI ML Engineer

Introduction about the company

ParyAI Solutions Pvt Ltd. is an innovation-driven clean tech startup at the intersection

of artificial intelligence, automation, and environmental engineering. We develop smart,

AI-powered solutions for water, wastewater, and industrial systems, enabling industries

and municipalities to achieve greater efficiency, compliance, and sustainability.

Our expertise lies in leveraging AI, ML, and IoT to address complex challenges in plant

automation. We combine deep domain knowledge with cutting-edge digital technologies

to build solutions that go beyond conventional automation. At ParyAI, we believe in

transforming data into intelligence and intelligence into action - empowering industries

to move towards a smarter and more sustainable future.

Organization ParyAI Solutions Pvt Ltd

Job ID JID26006

Designation Head Of AI ML Engineer

Experience 4-5 years

Qualification Bachelor’s degree in engineering/science/B.Tech

Desired skills

• Python Programming (FastAPI, Flask)

• Machine Learning & NLP

• Experience with SLMs or LLM (Phi-3, Mistral, Llama3, Gemma)

• RAG Pipeline Development

Job location Banashankari 3rd stage, Bengaluru, Karnataka

CTC 12-14 LPA + performance-based incentive

ob Role – Head Of AI ML Engineer:

Job Summary

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We are seeking an experienced AI/ML Engineer to lead the development and deployment of

Industrial AI solutions. The role focuses on building and optimizing Small Language Models

(SLMs) for real-time industrial applications, integrating AI with plant systems, and enabling

intelligent “chat-with-your-plant” capabilities.

Key Responsibilities

• Lead development and fine-tuning of Small Language Models (SLMs) for industrial

use cases

Design and implement RAG (Retrieval-Augmented Generation) pipelines

• Build and deploy Python-based microservices (FastAPI/Flask) for model inference

• Process and transform sensor/time-series data into AI-ready formats

• Integrate AI systems with industrial protocols (Modbus, MQTT, OPC UA)

• Optimize models for edge deployment using quantization and ONNX

• Enable real-time AI interaction with PLC/SCADA systems

• Collaborate with cross-functional teams for scalable AI deployment

Key Skills Required

• Python Programming (FastAPI, Flask)

• Machine Learning & NLP

• Experience with SLMs (Phi-3, Mistral, Llama-3, Gemma)

• RAG Pipeline Development

• Model Optimization (Quantization – GGUF, AWQ, ONNX)

• Handling Time-Series & Sensor Data

• Knowledge of Industrial Protocols (Modbus, MQTT, OPC UA)

• Edge AI Deployment

• API Development & System Integration

• Strong problem-solving & leadership skills