AI Engineer
6 dni temu
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.
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