Senior Machine Learning Engineer

Role OverviewWe’re looking for Machine Learning Engineers who are passionate about LLMs, document AI, and applied research. You’ll work on projects involving model fine-tuning, LoRA adapter training, document classification, OCR post-processing, and AI-driven data extraction from complex financial and legal documents.You will collaborate closely with the CTO and global engineering teams to design, train, and deploy machine learning models that power our intelligent automation stack.Key ResponsibilitiesFine-tune large and small language models (LLaMA, Mistral, Gemma, Phi, etc.) for specialized NLP and document-reasoning tasks.Develop and optimize LoRA adapters and parameter-efficient fine-tuning (PEFT) workflows.Build document classification pipelines to automatically identify and segment mortgage, financial, and compliance documents.Integrate AI-aided OCR (e.g., PaddleOCR, Azure Document Intelligence, Tesseract, LayoutLM) for high-accuracy text and table extraction.Design evaluation frameworks and metrics for data quality, accuracy, and confidence scoring.Collaborate with backend and data engineering teams to deploy models into production (API or microservice environment).Research and experiment with new open-source models, embeddings, and multimodal techniques for continuous improvement.QualificationsBachelor’s or Master’s in Computer Science, AI, Data Science, or related field.2–5+ years of practical experience in machine learning or NLP.Strong background in PyTorch, Transformers, PEFT/LoRA, and LangChain or Hugging Face ecosystem.Hands-on experience with document AI, OCR, and information extraction.Experience deploying ML models as APIs or microservices (FastAPI, Flask, or equivalent).Comfortable working with cloud environments (Azure, AWS, or GCP).English proficiency sufficient for technical communication with global teams.Preferred (Bonus) SkillsExperience with RAG (Retrieval-Augmented Generation) pipelines.Familiarity with Vector Databases (e.g., FAISS, Chroma, Milvus).Exposure to agentic architectures or workflow orchestration (LangGraph, CrewAI, etc.).Experience in MLOps and model versioning/deployment using Docker or Azure ML.Why Join UsBe part of the first AI engineering hub in Iraq built around enterprise-grade document intelligence.Work directly with experienced global engineers and researchers.Access to cutting-edge infrastructure and compute resources.Competitive local salary (based on experience), growth opportunities, and exposure to international projects.This position will be fully remote for the first few weeks, eventually transitioning to an in-office environment in central Baghdad. We are though open to hybrid/fully remote candidates based on experience level.