Benefits:

• Above award wages

• Full company work uniform supplied (shirts, shorts, pants, boots)

• Opportunity to learn all sides of plumbing

Experience Requirements:

• Positive attitude – willing to work in a team environment

• Problem solving

• Well-presented

Other Requirements:

• NSW Drivers License

• White Card

Benefits:

• Company-provided truck, tools, and uniform

• Comprehensive industry training

• Competitive salary package

• Ongoing support and development opportunities

Experience Requirements:

• 1st, 2nd and 3rd year plumbing apprentices

Other Requirements:

• Diligent, honest, and positive demeanor

• Punctuality and reliability

• Ability to collaborate effectively within a team while also demonstrating autonomy

• Flexibility to work on a rotational after-hours schedule

• Proficient driving skills

Responsibilities:

• Assisting with a wide variety of maintenance plumbing in water, gas, sanitary, drainage and roofing together with renovation and repair work

• Servicing domestic and commercial sites, rentals and body corporates

Benefits:

• Flexible working hours

• Modern office

• Steep learning curve

• Strong team culture

• Experienced mentors

Education Requirements:

• Bachelor's degree in business administration, communication, design or similar

Other Requirements:

• High standards of customer satisfaction

• Desire to help customers sustainably

• Experience in agriculture, product development, customer projects or agile concepts (ideal)

Responsibilities:

• Creating analyses of market-relevant product features

• Designing product concepts and individual feature prototypes

• Product owner for the product development team

Benefits:

• Flexible working hours

• Modern office

• Steep learning curve

• Strong team culture

• Experienced mentors

Education Requirements:

• Agricultural background

Experience Requirements:

• Agricultural experience

Other Requirements:

• Desire to help farmers sustainably

• High motivation

Responsibilities:

• Accompanying farm visits

• Prioritizing customer needs

• Working on agronomic models

• Continuous improvement of agronomic models

Benefits:

• Flexible working hours

• Modern office

• Steep learning curve

• Strong team culture

• Experienced mentors

Education Requirements:

• Product design studies or comparable practical experience

Other Requirements:

• High standards of aesthetics, simplicity, and clarity

• Experience with UI tools

• Experience with agile concepts (ideal)

• Knowledge of agricultural practices (ideal)

Responsibilities:

• Creating app prototypes

• Conducting usability tests with farmers

• User guidance and interaction design

Benefits:

• Flexible working hours

• Modern office

• Steep learning curve

• Strong team culture

• Experienced mentors

Education Requirements:

• Studies or practical experience in agriculture or horticulture

Other Requirements:

• Success- and goal-orientation

• Friendliness

• Reliability

• Flexibility

• Market knowledge in vegetable cultivation or irrigation technology (ideal)

• Success in building a sales organization (ideal)

Responsibilities:

• Customer and partner acquisition

• Passing on customer requirements to product development

• Sales planning

• Potential and trend analyses

• Product differentiation

Benefits:

• Flexible working hours

• Modern office

• Steep learning curve

• Strong team culture

• Experienced mentors

Education Requirements:

• Studies or practical experience in agriculture, horticulture or sales

Other Requirements:

• Success- and goal-orientation

• Friendliness

• Reliability

• Flexibility

• Market knowledge in vegetable cultivation or irrigation technology (ideal)

• Success in building a sales organization (ideal)

Responsibilities:

• Customer and partner acquisition

• Passing on customer requirements to product development

• Sales planning

• Potential and trend analyses

• Product differentiation

Benefits:

• Flexible working hours

• Modern office

• Steep learning curve

• Strong team culture

• Experienced mentors

Education Requirements:

• Degree in business administration or comparable practical experience

Other Requirements:

• Desire to help customers sustainably

• Experience in agriculture, management consulting or customer projects (ideal)

• Experience with agile concepts (ideal)

Responsibilities:

• Market research

• Presales and representation at customer fairs

• Sales support

• Meetings with potential sales partners

• Listening to, documenting and prioritizing customer needs

Benefits:

• Flexible working hours

• Modern office

• Steep learning curve

• Strong team culture

• Experienced mentors

Experience Requirements:

• Knowledge of Linux and macOS

• Python programming skills

• DevOps knowledge

• Experience with AWS Cloud and databases (ideal)

Other Requirements:

• High motivation

Responsibilities:

• Deployment of data-intensive, distributed, and scalable software systems

• Administration of infrastructure

• Support for the team with general IT problems

Benefits:

• Career Progression

• Employee Stock Options

• Health Insurance

• Diverse and Talented Team

• Fast-Paced Environment

Education Requirements:

• Bachelor's degree in a relevant field such as Management or similar

Experience Requirements:

• +2 years of relevant experience in sales, after-sales, or customer success

Other Requirements:

• Strong organizational skills

• Ability to collaborate cross-functionally and manage relationships with external partners

• Experience in working with 3rd parties and distributors

• Data-driven mindset

• Excellent verbal and written communication skills in English

• Availability to travel 50% of the time inside Turkey and outside (eg: India)

• Driving licence (mandatory)

Responsibilities:

• Onboarding

• Engagement

• Monitor & Improvement

• Upselling

• Collaboration & Partnership

Education Requirements:

• BS or MS in Computer Science

Experience Requirements:

• 7-10 years of experience in architecting, designing and developing distributed scalable software

• Prior experience with providing technical leadership

Other Requirements:

• Expert in Application development cloud/on premise end to end. Middle layer, DB layer.

• Good hands on in Complex Event Processing systems.

• Solved scale and performance issues while dealing with huge sets of data. Pre compute or data aggregation frameworks to achieve good response time.

• Good programming skills and hands on in any one of Java/Python/Scala/Go/NodeJs

• Real world experience working with large datasets and NoSQL database technologies

• Experience of debugging applications running on Unix like systems (e.g. Ubuntu, CentOS)

• Experience developing RESTful APIs for complex data sets

• Knowledge of container based development & deployment (e.g. Dockers, rkt)

• Exposure to AWS, Google Cloud Platform, Microsoft Azure, etc.

• Expertise in security software domain will be a bonus

• Energetic self-starter, with the desire to work in a dynamic startup environment

Responsibilities:

• Lead the architecture of Concentric’s solution

• Design, develop, code and test the solution

• Review peer engineer design and code to ensure quality, and mentor junior engineers in sound design and development best practices.

• Experience of debugging applications running on Unix like systems (e.g. Ubuntu, CentOS)

Education Requirements:

• A master’s degree, or foreign equivalent in CS, CE, IT, SW Eng or related field

Experience Requirements:

• two (2) years, experience as a Software Engineer/Developer; IT Analyst/ Engineer, or related field

• Languages: C or C++ or JA

• Databases: SQL Server or Oracle or DB2 or COBOLVA

• Operating Systems: Windows or UNIX or LINUX

Responsibilities:

• Be responsible for leading the design and development of our proprietary data analytics platform

• Lead the architecture and design of Concentrics proprietary real time streaming big data analytics platform

• Architect, design, develop, code and test the ingestion of data into Concentric’s proprietary platform

• Review peer engineer design and code to ensure quality, and mentor junior engineers in sound design and development best practices

Benefits:

• Diversity

• Appreciation

• Equality

• Numerous training and development opportunities

• Flexible working hours (some positions)

Education Requirements:

• PhD in physics, mathematics, material sciences, electrical engineering or a related natural or technical science

• Master's/Diploma in natural sciences (e.g. Computer Science, Mathematics, Physics) or related field

• Bachelor's or Master's degree in informatics, mathematics, physics or engineering science

• currently enrolled in university scientific studies in aerospace/electrical engineering, computer science, or a comparable field

• advanced studies in Mechanical Engineering, Aerospace Engineering, Industrial Engineering, Data Sciences, or comparable programs

Experience Requirements:

• practical research experience (at least 3 years) in (Cyber) Security, e.g. through a doctorate or other demonstrable research activities

• experience in machine learning

• Experience with Front-End development

• 3D-Finite Element Modeling and Multiphysics Simulation

• extensive experience in programming a common language (Python, MATLAB, C/C++, etc.)

Other Requirements:

• good communication and cooperation skills

• proficiency in English (spoken and written)

• enthusiasm, motivation and creativity

• good expertise in object-oriented software development with C++ and Python

• previous contact with machine-learning frameworks (e.g., PyTorch, Tensorflow, Caffe, …)

• experience with image processing methods (e.g., OpenCV)

• good knowledge in creating 3D assets with Blender

• basic programming skills in Python, C++ or C#

• Initial practical experience developing applications in VR/AR environments

• Knowledge in software engineering

• Experience with Typescript or REST API

• Basic knowledge of modern cryptography, preferably with initial exposure to homomorphic encryption

• Good programming skills in languages such as Python and JavaScript

• Interest in cryptographic issues and working in security-critical areas

• Teamwork skills, independent working style, and commitment

• Fluent in German and English (spoken and written)

• very good Python skills (LangChain, Ollama, embeddings, Chroma, …)

• understanding of general aviation technology and flight operations

• knowledge and experience in the area of machine learning

• knowledge and experience in software engineering (e.g., Git, Unit Tests)

• travel readiness

• willingness for security check (if necessary)

Responsibilities:

• Development of new ML-models for pose estimation

• Evaluation of the robustness and reliability of ML-models

• Development and optimization of front-end components for managing data spaces

• Integration of interfaces for seamless data integration and presentation

• Development and implementation of user-centered UX/UI designs for data spaces

Education Requirements:

• PhD in Mathematics and/or Computer Science

Experience Requirements:

• Experience in applying deep learning to computer vision

Other Requirements:

• Proficiency with PyTorch or similar deep learning framework

• Thorough understanding of state-of-the-art deep learning methods

• Extensive experience with Python

• Familiarity with software engineering best practices

• Analytical and scientific mindset

• Good communication skills

• Driven to solve medical problems

• Passionate about deep learning research

Responsibilities:

• Improve deep learning models

• Contribute to internal deep learning framework

• Deploy models into production

• Expand the range of tasks tackled with deep learning

• Research state-of-the-art methods

Education Requirements:

• Master's Degree

Other Requirements:

• Last year of studies (Bac+5/Master)

• Good command of Python and/or Java

• Scientific rigor and critical eye

• Good communication skills

• Strong interest in the medical field (knowledge of medical imaging/Dicom standard is a plus)

• Knowledge of databases

• Good level of English

Responsibilities:

• Ensure the quality and monitoring of annotations

• Participate in the reflection on annotation strategies and tools used

• Participate in the creation of datasets and reflection on the performance of AI algorithms

• Ensure the training of labelers

• Enrich natural language processing methods to optimize annotation