ML Engineer
Armeta KZ
- Нур-Султан
- Постоянная работа
- Полная занятость
We work at the intersection of AI, data, and engineering intelligence, building tools that support decision-making in domains where reliability and compliance are paramount. And we are looking for a Machine Learning EngineerKey Responsibilities:Data Analysis: Conduct data preprocessing, exploratory data analysis, feature engineering, and model validation.End-to-End Delivery: Take ownership of the full machine learning lifecycle, including training, testing, and deploying models into a production environment.Engineering & Integration: Write clean, scalable backend code (Python) to wrap your ML services and integrate them with new and existing systems.Data Strategy: Collaborate with the Research/Analytics team to guide labeling efforts and build robust datasets for future training.Innovation: Explore new business cases and identify areas where ML solutions can drive value.Collaboration: Work closely with stakeholders and cross-functional team members to align technical output with business goals. * Multiple modalities: Build systems across different modalities, like Vision and Text, including VLMs and specialized models.Your First 90 Days:Analyze & Evaluate: Review the current State of the Art in relevant fields (CV, NLP) and perform evaluations on custom data to find the best candidates for deployment.Data Foundation: Analyze current data availability and build up datasets to support immediate and future models. * Ship Code: Train, test, and deploy open-source machine learning models to get your first services live.Qualifications:Experience: 2+ years of professional experience in Machine Learning, Data Science or a related technical field.Core Fundamentals: A solid grasp of Machine Learning fundamentals, Statistics, and Probability.Software Engineering Excellence: Proficiency in Python. You must be able to write clean, readable, and scalable code. You will also need to know about caching strategies, message queues, rate limiting, monitoring, and batching.Adaptability: Ability to navigate between research (model tuning) and engineering (system integration).Agents and Agentic workflows: Experience with building Agentic systems using Langgraph, Langchain and other frameworks with tool use for long-running tasks.Armeta is a U.S.– based startup building an engineering intelligence platform that automates construction project reviews and compliance. Our full-stack AI system understands both engineering drawings and technical documents, performing multimodal reasoning across codes, standards, and design disciplines.Unique Advantage Armeta has exclusive access to 20+ years of proprietary engineering archives through a family-owned engineering group, along with data from joint ventures and partnerships with Technip Energies, Maire Tecnimont, and FLSmidth. This unmatched data foundation enables us to train highly specialized AI models that general-purpose systems cannot replicate.Current Focus: We are running a national pilot with Kazakhstan’s permitting authority to automate the review and approval of construction projects - creating a repeatable model for governments and large enterprises worldwide. Our early traction validates the demand for domain-specific AI that brings speed, accuracy, and compliance to the construction ecosystem.Our mission is to turn the world’s static engineering knowledge into structured, actionable intelligence - transforming how projects are designed, verified, and approved.Armeta is building the foundation for a smarter, faster, and more transparent built world.
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