Senior AI Fine-Tuning Engineer
7 hours ago
We're hiring on behalf of Entermind.com Location: Kuala Lumpur, Malaysia Type of employment: Full-time | On-site Apply teyna@entermind.com Open to candidates from Bangalore 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 (https://www.entermind.com/) 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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LLM fine tuning
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LLM fine tuning
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India NDS InfoServ Full timeCompany DescriptionWith over 20 years of expertise in continuous process improvement using cutting-edge AI technologies such as Supervised Deep Learning and NLP, NDS InfoServ is a leading AI-based technology and BPO service provider in Healthcare RCM. We critically examine processes to identify ways to make them more cost-effective, efficient, and reliable....
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LLM fine tuning
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India NDS InfoServ Full timeCompany Description With over 20 years of expertise in continuous process improvement using cutting-edge AI technologies such as Supervised Deep Learning and NLP, NDS InfoServ is a leading AI-based technology and BPO service provider in Healthcare RCM. We critically examine processes to identify ways to make them more cost-effective, efficient, and reliable....
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