About Opkey Opkey is the leading Cloud Application Lifecycle Management (CALM) platform for Oracle, Workday, Salesforce, Coupa, and more. It cuts the costs and risks that drag down implementations and ongoing change, helping you go live on time, get more from your cloud app investments, and reach AI readiness faster. Opkey's 20+ AI agents manage all five phases of the cloud application lifecycle—Define, Design, Configure, Test and Train. Whether it’s a current implementation, a platform update, or business‑as‑usual change, Opkey handles it all: updates validated in hours, self‑healing tests, end‑to‑end integrations assured, configurations synced, and training updated in real time—all delivered in a single unified platform instead of a patchwork of disconnected tools. Powered by Argus, a domain‑specific AI model trained on decades of expertise and terabytes of enterprise application data, Opkey automates configuration, testing, change impact analysis, and training across these applications—cutting manual effort by 80%, enabling 30% faster go‑lives, and slashing downtime risk by 92% About The Opportunity
• We are hiring an AI Engineer to fine-tune, train, and evaluate large language models (LLMs) and vision-language models (VLMs) for production use. You will own models end to end: data, training, evaluation. The role suits someone who solves hard problems from first principles and understands why techniques work, not just how to run them. Role & Responsibilities
• Fine-tune open-weight LLMs and VLMs for domain-specific tasks.




• Apply full fine-tuning and parameter-efficient methods (LoRA, QLoRA, adapters).
• Run post-training and alignment: supervised fine-tuning (SFT), instruction tuning, and preference optimization (DPO, RLHF/PPO, GRPO).
• Build data pipelines: collect, clean, deduplicate, filter and synthesize text and image-text training data.
• Design evaluation: task benchmarks, LLM-as-judge setups, human eval, and regression suites that catch quality drops.
• Train efficiently on multi-GPU setups using distributed training (DeepSpeed, FSDP), mixed precision and gradient checkpointing.
• Debug training failures such as loss spikes, divergence, overfitting, catastrophic forgetting and hallucination, and find the root cause.
• Optimize models for inference through quantization (GPTQ, AWQ, GGUF), distillation and serving with vLLM or TGI.
• Read and reproduce recent research papers, and turn promising ideas into working experiments.
• Track experiments rigorously and share findings clearly with engineering and product teams. Skills & Qualifications Must-Have
• 2–3 years in machine learning or deep learning.
• Shipped at least one fine-tuned model to production or a real user-facing use case.
• Strong AI fundamentals and Problem solving.
• Bachelor's or Master's in Computer Science, AI, Mathematics or a related field (or equivalent hands-on work).

Skills:
grpo,ppo,awq,rlhf,fsdp,tgi,deepspeed,sft,lora,vllm,llm,adapters,qlora,gptq,vlm,dpo,gguf

📌 AI Engineer – LLM (Bengaluru)
🏢 Opkey
📍 Bengaluru