Senior AI Fine-Tuning Engineer

1 week ago

Greater Kuala Lumpur, Malaysia Koda Integrated Marketing Services Full time

We're hiring on behalf of

Location: Kuala Lumpur, Malaysia

Type of employment: Full-time | On-site

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Open to candidates from Bangalore/Hyderabad/Chennai

The Role

We are seeking a Senior AI Fine-Tuning Engineer with 8+ years of experience to lead the

design, development, and deployment of custom-tuned large language models for enterprise

clients.

You will be the technical authority on model adaptation, alignment, and

optimization—translating business requirements into fine-tuning strategies that deliver

superior performance on domain-specific tasks. You'll architect training pipelines, implement

RLHF workflows, optimize model inference, and ensure our AI systems meet enterprise

standards.

This is not a research position - it's a senior engineering role focused on applied AI

that ships to production and drives business outcomes.

What You'll Do

Model Fine-Tuning and Alignment


• Design fine-tuning strategies using SFT, instruction tuning, and RLHF (PPO/DPO)


• Implement parameter-efficient methods (LoRA, QLoRA, Adapters) for cost-effective

adaptation


• Apply constitutional AI and safety alignment techniques

Training Infrastructure & MLOps


• Build end-to-end training pipelines with distributed systems (DeepSpeed, FSDP)


• Implement experiment tracking, model versioning, and reproducibility

RAG and Hybrid Systems


• Design retrieval-augmented generation systems with semantic search


• Build and optimize vector databases (Pinecone, Weaviate, Qdrant, Milvus)

Enterprise Integration


• Deploy models with serving infrastructure (vLLM, TensorRT-LLM)


• Implement quantization (GPTQ, AWQ) and inference optimization

Technical Leadership


• Mentor engineers on fine-tuning best practices and MLOps


• Lead client technical discussions and solution design sessions

What You Bring

Core Requirements


• 8–12 years in ML/AI engineering with minimum 2 years on LLM fine-tuning


• Proven track record shipping production LLM systems with business impact


• Deep expertise in PyTorch/TensorFlow/JAX and transformer architectures

Technical Expertise

Model Fine-Tuning: RLHF/RLAIF (PPO, DPO), LoRA, QLoRA, instruction tuning, alignment

techniques

Open-Source LLMs: Llama 3/3.1/3.2, Mistral/Mixtral, Qwen 2.5, Falcon, Phi, Gemma

RAG Systems: Vector databases (Pinecone, Weaviate, Qdrant), orchestration (LangChain,

LlamaIndex)

MLOps: Distributed training (DeepSpeed, FSDP), model serving (vLLM, TGI), quantization

(GPTQ, AWQ)

Data and Evaluation: Custom benchmarks, data governance, synthetic data generation

Professional Competencies


• Strong technical communication with stakeholders


• Client-facing experience in solution design


• Leadership maturity with mentoring capabilities

About Entermind (
)

Entermind is a leading Data & AI consulting firm specializing in enterprise-grade AI

transformation. We architect, fine-tune, and deploy production-ready AI systems that solve

Our solutions blend cutting-edge research with battle-tested engineering to create systems

that are accurate, reliable, and production-ready.

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