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PSI FLS Fuzzy Logik & Neuro Systeme GmbH
PSI FLS Fuzzy Logik & Neuro Systeme GmbH

PSI FLS Fuzzy Logik & Neuro Systeme GmbH

maintenance Dortmund 2024

Über uns

PSI FLS Fuzzy Logik & Neuro Systeme offers methods of industrial artificial intelligence for learning process data analyses, monitoring and predictive production optimizations by means of Qualicision AI.

The Qualicision AI Framework is based on Extended Fuzzy Logic and methods of machine learning such as neural networks, gradient boosting and reinforcement learning. The focus in their use is on efficiency increases, resource conservation and sustainability in process optimization as well as in the intelligent learning analysis of business process data. Qualicision AI Generative is a component that adds information available in text form, such as product manuals or further documents, to an existing application. The focus in their use is on efficiency increases, resource conservation and sustainability in process optimization as well as in the intelligent learning analysis of business process data, such as

• for sequencing and scheduling in the automobile industry,
• for the decarbonization of the metal industry,
• for cost efficiency in energy trading,
• monitoring, control and maintenance of power grids and
• the optimization of industrial processes
• in optimized parking and charging of public transport.

PSI FLS Fuzzy Logik & Neuro Systeme was founded in 1992 and is a company in the PSI Software Group since 2008. The PSI Software Group has been certified in accordance to ISO 9001 since 1994. IT security certification in line with ISO 27001 has been in place throughout the Group since 2014.

PSI FLS has offices in Dortmund, Aschaffenburg and Munich as well as installations worldwide. Global customers are BMW, Continental, Volkswagen and Volvo.

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Jobangebote

ob as Data Scientist/ Machine Learning Engineer (M/F/D) in the field of AI applications

TASKS
– Data mining and data analysis of business process data
– Development of predictive models using current machine learning methods
– Data visualization and development of UX designs
– Enterprise software development in an agile team

SKILL REQUIREMENTS
– Very good Python knowledge
– Proficient with various data science/ML libraries e.g. pandas, NumPy, TensorFlow
– Confident handling of GIT
– Analytical, solution-oriented and structured thinking
– Good access to standard algorithms and data structures (sorting, graphs, hashes, trees, etc.)
– Experience in agile project development and teamwork
– Helpful qualifications SQL Oracle, PostgreSQL, MS SQL
– Degree with IT focus such as (business) computer science, mathematics, statistics, data science or similar

OFFER
– Interesting and varied AI issues from industry to trade
– Pleasant working environment with a flat hierarchy
– Offers for professional and personal development
– Full- or part-time employment with flexible working hours

Siehe Jobangebote »

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