Senior Manager - Artificial Intelligence...

Pure Chemicals Co.; Chennai District; Presencial; INR 4.000.000 - 6.000.000; Jornada completa

Descripción de la vacante

Pon Pure Chemical India Private Limited in Tamil Nadu seeks a Senior Manager - Artificial Intelligence to lead end-to-end AI initiatives, including agentic assistants, RAG systems, and workflow automation. The role focuses on delivering production-grade AI solutions across enterprise platforms and ensuring governance and cost efficiency.

The ideal candidate brings 12–15 years of experience in AI/ML, hands-on experience with open-weight LLMs, and a track record of building scalable multi-agent

Formación

• Design, build and ship production AI applications end-to-end (agentic assistants, RAG, document intelligence).
• Fine-tune open-weight LLMs (Qwen, Llama, Mistral, Phi, Gemma) for company use cases.
• Build multi-agent systems integrating ERP, HRMS, calendars, email, and APIs.
• Own AI stack architecture: model selection, evaluation, guardrails and governance.

Responsabilidades

• Create end-to-end AI solutions for business needs.
• Fine-tune and deploy LLMs with LOra/QLoRA/PEFT techniques.
• Integrate AI workflows with enterprise systems and communication tools.

Conocimientos

LLM fine-tuning

RAG systems

AI governance

Multi-agent systems

Cost optimization

Educación

B.Tech/B.E

Descripción del empleo

Senior Manager - Artificial Intelligence...

PPC/SM-AI/1836345

• ISD
• Head Office

Posted On 26 Sep 2026

End Date 31 Dec 2026

Required Experience 12 - 15 years

BASIC SECTION

No. Of Openings 1

Freshers/Experience Experience

Employee Bonus Regular

Organisational

Company Name Pon Pure Chemical India Private Limited

Department ISD

Country INDIA

State Tamil Nadu

Location Head Office

Skills

SKILL

B.Tech/B.E

CERTIFICATION

Working Language

JOB DESCRIPTION

• Design, build and ship production AI applications end-to-end — agentic assistants, RAG systems, document intelligence, voice agents, predictive/forecasting models, and workflow-automation agents.
• Fine-tune and adapt open-weight LLMs (Qwen, Llama, Mistral, Phi, Gemma) for company-specific use cases; own the training loop, evaluation and rollout.
• Build multi-agent systems that integrate across enterprise platforms — Oracle ERP, HRMS, Google/Microsoft Calendar, email, LinkedIn, WhatsApp Business, webhooks and custom APIs.
• Own the AI stack architecture: model selection and routing, evaluation harnesses, guardrails, observability, cost and latency optimisation, security and governance.

Skills:

• Fine-tuning open-weight LLMs — Qwen (including larger variants such as Qwen 2.5 32B / 72B), Llama, Mistral, Phi, Gemma — using LoRA, QLoRA and PEFT.
• Preference alignment techniques — DPO, ORPO, and awareness of RLHF-style approaches.
• GPU-based training and inference — A100 / H100 / L40S; distributed training basics; quantisation (GPTQ, AWQ, GGUF); memory and throughput optimisation.
• Self-hosted inference stacks — vLLM, Ollama, llama.cpp, TGI.
• Working with Small Language Models (SLMs) for cost-efficient, specialised tasks.
• Multi-model routing and abstraction using LiteLLM or equivalent.
• Managed AI platforms — Azure OpenAI, AWS Bedrock, Google Vertex AI — and clear judgment on when to build vs buy vs host.