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emagine

AI Engineer

emagine
Poland · Full-time · Not Applicable
Industry: Accounting

Remote work: Remote work with occasional visits to the office

Assignment type: B2B

Project length: 12 months

Project language: Polish / English

RESPONSIBILITIES:

  • Collecting, preprocessing, and analyzing large datasets for training models.
  • Integrating AI models into existing systems or develop new applications.
  • Working with data scientists and other stakeholders to understand project needs.
  • Independently executing and delivering new capabilities with high-quality based on documented requirements.
  • Actively participating in both technical and functional discussions relative to ongoing and future user story development.
  • Providing input to the development of project initiation documents including objectives, scope, approach and deliverables, when needed.
  • Communicating implications of development decisions, issues and plans.
  • Establishing strong working relationships with the development team, business, operations and other IT team members.
  • Participating in and supporting cross-team process improvement initiatives.
  • Assisting in the creation and maintenance of application guidelines, standards, policies and procedures and disseminate to IT teams.
  • Ensuring documentation is captured in a knowledge repository; publicize deliverable location to the organization as necessary.
  • Collaborating with technology owners and researches industry trends to assist project development and operational support activites.

REQUIREMENTS:

  • Master’s degree in computer science, engineering, software development or a related field.
  • 5 years + of experience in AI/ML solutions.
  • Python (FastAPI).
  • RAG (Retrieval Augmented Generation).
  • Prompt Engineering.
  • Vector Database and Embedding models.
  • Frameworks: LangChain, LangGraph, LlamaIndex etc.
  • Multi-Agent libraries/frameworks. CrewAI, Autogen, Taskweave etc.
  • Azure Functions
  • Expertise in data manipulation using Pandas, NumPy.
  • Microsoft Azure and its relevant AI services.
  • Familiarity with data engineering concepts, including data pipelines, data integration, and

data warehousing. Ability to work with large datasets and perform data cleaning,

transformation, and manipulation.

NICE TO HAVE:

  • Hands-on development experience with .NET technology stack preferred; C#, SQL Server, Azure PaaS, Azure DevOps and CI/CD Pipelines (including YAML).

WE OFFER:

  • Medicover and Multisport.
  • Attractive remuneration in the B2B model depending on your competencies and experience.
  • Transparently built relations.

Key Skills

Ranked by relevance

c ai lan ui ha data warehousing sql server fastapi python devops server pandas numpy paas sql esp ips cis das nat pan
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Country Guide

Poland

Fast-growing Central European IT hub

Posted
Dec 05, 2024
Type
Full-time
Level
Not Applicable
Location
Warsaw
Company
emagine

Industries

IT Services IT Consulting

Categories

Engineering Information Technology

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