machine learning engineer for logistics operations

Enfint; Warszawa; On-site; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Comprehensive benefits

Training programs

Buddy onboarding

Annual event

Ergonomic office

Life insurance

Company gym

Employee parking

Language classes

Social benefits

Job summary

Enfint в Москве/Варшаве ищет инженера ИИ для разработки GenAI и NLP‑функций. Вы будете строить и развивать RAG‑пайплайны, обрабатывать документы, трансформировать запросы и ранжировать результаты, используя LangChain, LangGraph и DSPy.

Требуется степень в CS/SE/AI и 3+ лет опыта, сильный Python, GenAI/LLM‑опыт, владение CI/CD и английским языком. Офис современный, контракт и пакет преимуществ предусматриваются.

Qualifications

• Степень в Computer Science/Software Engineering/AI или эквивалентный опыт
• 3+ года профессионального опыта в AI-инженерии/прикладной Data Science
• Сильные навыки Python и создание поддерживаемого ПО
• Опыт GenAI/LLM‑решений или открытых моделей
• Понимание практик разработки ПО, включая тестирование, CI/CD и версионирование
• Опыт с инструментами оценки моделей, мониторинга или трекинга экспериментов
• Умение работать в кросс-функциональных agile‑командах
• Связь на английском языке

Responsibilities

• Независимо реализовывать функции AI, GenAI, NLP и RAG умеренной сложности
• Разрабатывать и улучшать конвейеры RAG: разбор документов, инжест, chunking, метаданные, запросы, поиск и ранжирование
• Строить GenAI‑функции через LLM‑API, структурированные промпты и оркестрацию (LangChain, LangGraph, DSPy)
• Оценивать производительность систем AI по метрикам retrieval, качеству ответов, латентности, стоимости и тестам на случаи отказа
• Оценивать инженерные trade-offs по качеству моделей, задержке, стоимости и надёжности
• Владеть фичами от требований до развёртывания и поддержки в проде
• Преобразовывать требования в user stories и разрабатывать планы реализации
• Выявлять риски, зависимости и ограничения данных; предлагать решения
• Следить за достижениями в LLM, RAG, промптинге и оценке моделей и их бизнес‑влиянии

Skills

Python

GenAI

NLP

LLM APIs

Model evaluation

CI/CD

English communication

Education

Degree in Computer Science/Software Engineering/AI

Tools

LangChain

LangGraph

DSPy

MLflow

KServe

Google Cloud

Job description

Описание: DSV is a global leader in transport and logistics, operating across more than 90 countries. The company provides logistics services and uses AI to support critical operations, business decisions, and customer experiences.

Задачи:

• Independently deliver scoped AI, GenAI, NLP, and RAG features of moderate complexity
• Develop and enhance RAG pipelines, including document parsing and ingestion, chunking and metadata strategies, query transformation, retrieval and ranking, response generation, and grounding
• Build GenAI features using LLM APIs, structured prompting, and orchestration frameworks such as LangChain, LangGraph, and DSPy
• Evaluate AI system performance through retrieval metrics, response quality assessment, hallucination analysis, latency measurement, cost analysis, and failure-case testing
• Assess engineering trade-offs across model quality, latency, cost, reliability, maintainability, and implementation complexity
• Own features end-to-end from requirements clarification and experimentation through deployment and initial production support
• Translate requirements into user stories and provide implementation plans throughout the software development lifecycle
• Identify risks, dependencies, and data limitations early and propose workable solutions
• Challenge unclear requirements and contribute pragmatic, value-driven alternatives
• Stay current with developments in LLMs, RAG, prompt optimization, model evaluation, fine-tuning, and applied AI frameworks, and assess their business impact

Требования:

• Degree in Computer Science, Software Engineering, AI, Machine Learning, or a similar field, or equivalent professional experience
• 3+ Years of professional AI engineering or applied data science experience, including hands-on work with AI, NLP, machine learning, deep learning, or language-model-based applications
• Strong Python skills and experience building clean, maintainable, production-ready software
• Hands-on experience with GenAI, LLM-based solutions, or open-source models
• Solid understanding of software engineering practices, including testing, CI/CD, and version control
• Experience with model evaluation, monitoring, or experiment tracking tools such as MLflow or similar
• Ability to work in cross-functional agile teams
• Clear communication in English
• Nice to have: Experience with Google Cloud or similar cloud platforms, familiarity with RAG architectures, embeddings, vector databases, and retrieval techniques, exposure to fine-tuning or model optimization, experience with Kedro and KServe, knowledge of agentic workflows, tool-calling systems, agentic search, MCP, or A2A integration patterns

Условия:

• Employment contract with a comprehensive benefits package
• Training and development programs and access to an e-learning platform
• Onboarding support from a dedicated Buddy
• Annual company-wide integration event
• Scandinavian organizational culture
• Internal growth program
• Sports activities, private medical care, foreign language classes, and professional training courses are partially covered
• Life insurance, corporate gym, corporate sports team, coffee and tea, employee parking, extra social benefits, holiday funds, Christmas gifts, employee referral program, charity initiatives, bicycle parking, and office yoga
• Modern and ergonomic office
• Contract employment