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AI Developer

fully flexible

Remote:

Full Remote

Contract:

Full time

Work from:

Poland

Offer summary

Qualifications:

Experience with deep learning architectures, Proficiency in large language models, Knowledge of AI and neural networks, Ability to analyze sensor and satellite data, Experience in hybrid AI models.

Key responsabilities:

Design and develop AI architectures.
Implement large language and picture models.
Optimize synthetic data for accuracy.
Analyze diverse data sources and visual inputs.
Contribute insights for digital twin development.

Trimetis Services Sp. z o.o. Startup https://www.trimetis.com/

11 - 50 Employees

See more Trimetis Services Sp. z o.o. offers

Job description

The project

We are seeking a talented AI Developer to join our client's team and provide support with the daily management of the private cloud environment and server storage, as well as database housekeeping tasks including domain splitting, certificate management, and more.

Our client is an Austrian high-tech company with the intent to launch a GenAi application, trained based on the company’s own data, in 2024. The product shall enable municipalities:

to get as complete a picture as possible of the deployed municipality infrastructure (e.g., fiber, electricity, gas, etc.) and
to facilitate the planning of changes and new construction measures of the municipality’s infrastructure.

The aim is to create a digital twin of the municipal infrastructure where future projects can be easily modeled. To finalize and launch the application as well as to further enhance the set of features our client is looking for experienced and passionate professional to start as early as possible.

The number of open vacancies: 1

Type of contract: B2B or employment contract

The preferred scale of work: full time

Start date: ASAP
Type of work: 100% remote from Poland

Location: Poland

Key Responsibilities:

Design and develop architectures for deep learning (DL) and neural networks to support the application’s AI capabilities.
Create and implement large language models (LLM) and large picture models (LPM) to enhance the application's functionality.
Develop and optimize synthetic data, picture, and language models to improve the accuracy and efficiency of AI solutions.
Work on hybrid AI models and compound AI techniques, including data fusion algorithms, to integrate diverse data sources.
Perform advanced picture analysis to interpret visual data from various sources.
Analyze sensor data to extract meaningful insights that contribute to the digital twin of municipal infrastructure.
Conduct satellite data analysis to provide a comprehensive overview of municipality infrastructure.