استخدام AI/ML Engineer
شرح موقعیت شغلی
We are expanding the AI team at Azkivam.com to build production-grade AI systems for digital lending, operational automation, and intelligent decision support.
We are seeking an AI Engineer with hands-on experience in local LLM deployment, agentic AI, AI workflow automation, and MLOps. In this role, you will design and deploy AI services, connect models to internal tools and data sources, and help operate these systems effectively in production.
Responsibilities
- Design, develop, and deploy production-ready AI and machine learning services.
- Build AI agents with tool calling, state management, and integration with internal APIs, databases, and business systems.
- Develop and implement adaptive and generative models for structured and tabular financial data.
- Design multi-step AI workflows for business-process automation.
- Develop RAG pipelines, including document processing, embeddings, retrieval, reranking, and context management.
- Implement structured LLM outputs and task-specific evaluation pipelines.
- Deploy and optimize local LLMs using GPU inference, quantization, batching, and efficient model serving.
- Build and maintain MLOps workflows, including Docker-based deployment, CI/CD, model and data versioning, monitoring, and performance tracking.
- Collaborate with product, data, backend, and infrastructure teams to transform business requirements into scalable AI solutions.
- Document AI architectures, workflows, data flows, and deployment processes.
Required Skills
- Strong Python programming and software engineering skills.
- Proficiency in Python and common ML frameworks such as PyTorch, Hugging Face Transformers, or similar machine learning frameworks.
- Experience with tabular and financial data, including feature engineering and model evaluation.
- Practical experience in building LLM-based applications or AI agents.
- Experience with locally hosted or open-source LLMs and GPU-based inference.
- Understanding of agent orchestration, tool calling, state management, and workflow automation.
- Experience with RAG, embeddings, vector databases, retrieval, reranking, and structured outputs.
- Experience with model evaluation, prompt testing, and performance analysis.
- Hands-on experience with Docker, APIs, Git, CI/CD, model serving, monitoring, and versioning.
- Familiarity with PyTorch, Hugging Face Transformers, or similar machine learning frameworks.
Preferred Qualifications
- Experience with orchestration frameworks such as LangGraph, LangChain, LlamaIndex, or equivalent custom architectures.
- Experience with model-serving technologies such as vLLM, TGI, or similar inference engines.
- Familiarity with Kubernetes, MLflow, Airflow, or comparable MLOps tools.
- Experience with financial or tabular data, credit scoring, risk modelling, or lending systems.
مهارتهای مورد نیاز
- tensorflow
- Pytorch
- هوش مصنوعی
- Ai
- یادگیری ماشین
حداقل سابقه کار
- سه تا شش سال
جنسیت
- مهم نیست
وضعیت نظام وظیفه
- مهم نیست