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Dietician (gender) Direct placement

Description: 
Your new job as a full-time dietician:
 We are able to assist you. Within this niche catering sector, Manpower Experts GmbH forges relationships and maintains a strong network. Take use of our network! We will provide you with a variety of job opportunities and encourage your desire to make a career move. Hospitals, clinics for rehabilitation, retirement homes, and care facilities are among our clientele. We are searching for multiple candidates as a component of a direct placement. 

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Description:
 Come work with our innovative team as we look for a visionary Data Scientist/Data Analyst to spearhead the development of innovative AI solutions. You will lead innovation as a key member of our AI & Machine Learning cohort by creating generative and predictive AI models that reveal priceless insights and completely transform the business environment. You'll do well in a fast-paced setting, enjoy taking on complex problems, and have a thorough understanding of AI/ML methods. 
Let us describe the challenge we offer:
 Leading the way in automotive innovation, Polestar creates state-of-the-art electric cars that completely transform the driving experience. We're looking for a bright and driven Data Scientist/Data Analyst who is passionate about analysis, Data Science, and Gen AI as we continue to push boundaries. You will work with engineers and data scientists, contribute to meaningful ML/AI solutions and perceptive data dives, and be instrumental in determining the direction of mobility in the future. 
We can assure you that you will work with the most recent advancements in AI and ML since the Customer Analytics & AI team at Polestar is at the forefront when it comes to data, machine learning, and artificial intelligence.
 What you'll do?
 You will concentrate on our customer-related data, which entails gaining access to unprocessed data and turning it into useful information. This involves assigning duties for equipment and other outside resources in order to create a globally scalable framework.
 Work together with a variety of stakeholders to establish the needs for AI projects that are in line with the strategic goals of the company. To stay on the cutting edge of AI developments, do in-depth research and look for ways to incorporate generative and predictive AI models into our goods and services. 
Predictive AI Model: 
Create issue statements and theories to address a range of business difficulties. 
Compile, purify, and ready data in order to train models efficiently. 
Create, train, and assess predictive AI models with a variety of problem-specific methods (such as regression, classification, and clustering). 
Models should be continuously improved and optimised for efficiency, scalability, and performance.
 Install models in real-world settings and keep an eye on their functionality. 
Generative AI Model: 
Investigate and test the potential uses of generative AI models, like GPT, in applications such as design prototyping, data augmentation, and content creation. 
Develop and assess generative models, adjusting parameters to produce desired results. Include generative models in apps or workflows used in production. 
Effectively communicate your observations and suggestions: 
Transform technical ideas into commercial language and succinctly present your findings.
 Work together with cross-functional teams to put action plans based on insights from AI into action. 
Learn new things all the time and keep up with the most recent advancements in deep learning, machine learning, and artificial intelligence. 
Who you are?
 a bachelor's or master's degree in statistics, computer science, data science, or a similar discipline. four to five years' minimum experience planning and creating significant data science initiatives. proficiency in Python and other programming languages. capable of creating sophisticated SQL queries with ease for data extraction and modification. solid background using one of the cloud computing platforms (AWS, Azure, or GCP). knowledge of the fundamental LLM (Large Language Models) models, including Mistral, GPT, Falcon, and Llama. 
Proficiency in creating Generative AI applications through the use of RAG, vector databases, quick engineering, chain of thought, fine-tuning, and knowledge graphs familiarity with common machine learning frameworks and libraries, such as TensorFlow, Hugging Face, and Scikit-Learn, for handling both structured and unstructured data the capacity to convert challenging business issues into insightful knowledge. This role is situated at our headquarters in Gothenburg. When it comes to working remotely and on-site, we support a hybrid approach since we understand the need of both face-to-face interaction and private time for concentration. 
The most important thing is that people have the time and resources necessary to complete their tasks. Naturally, to enjoy the process as well. You will work in an international, cross-functional team at Polestar where written and spoken English is a common language. Polestar is scaling up, so you'll be better off working in a hectic atmosphere.
 People at Polestar: 
We recognise the necessity for change. We also understand that everyone of us has the power to contribute to that change. We are as committed to being inclusive, diverse, and inventive as we are to achieving carbon neutral by 2040. 
To bring forth a new era of sustainable mobility, we are developing, working together, and experimenting collectively. As an electric performance brand, we are committed to enhancing our community. 
Is this you? 
The opportunity to seize this role is now. We're excited to welcome the right individual to our team, and the position will be filled promptly upon finding the ideal match. If you're ready to embark on an exhilarating journey with us, don't hesitate—apply today! 
Are you ready for the journey? Which is electric by the way... 
 

info@polestar.com
career@polestar.com
Polestar
95239
95239
95239

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