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Generative AI Full stack Developer - Senior. Västra Götalands län
Contrato en Suecia (Västra Götalands län) de desarrollador de sistemas de TIC/desarrolladora de sistemas de TIC
Clasificación del trabajo: Profesionales científicos e intelectuales › Profesionales de tecnología de la información y las comunicaciones › Desarrolladores y analistas de software y multimedios › Analistas de sistemas › desarrollador de sistemas de TIC/desarrolladora de sistemas de TIC.
Traducción de la profesión: Arbete som kräver teoretisk specialistkompetens › Arbete som kräver teoretisk specialistkompetens inom informations- och kommunikationsteknik (IKT) › System- och mjukvaruutvecklare › Systemutvecklare och analytiker.
Descripción de la oferta de trabajo:
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Assignment description
One of our client is building AI based solutions for product development in the automotive industry. We are now looking for Generative AI Full stack Developer for one of their product teams. As a member of this team, you will take part in building the new AI powered toolchain for product development within automotive.
To thrive in this role, we think that not only do you have a passion for cutting edge technology and software development, but also to take part in forming a brand-new development organization with the values, mindset and software development culture.
Key Responsibilities:
Develop and Implement (generative) AI models, such as GANs, VAEs, and transformers.
Operate in Agile/Scrum environment for fulfilling user-stories and delivering within sprints.
Participate in the design and creation of scalable AI enabled products
Combine your knowledge modern cloud native application technologies and AI to create high-quality, innovative software solutions.
Apply advanced AI/ML algorithms and techniques to solve complex challenges within automotive.
Collaborate with cross-functional teams including researchers, product managers, and designers to brin new AI-driven features to ensure seamless integration of AI solutions into vehicle architectures and digital systems.
Focus on building reliable, secure, and scalable systems for AI applications including smart cabin and smart drive technologies.
End-to-End the integration of AI-driven features such as in Navi, recommender systems autonomous and other intelligent in-car systems.
Utilize technologies like TensorFlow, PyTorch, OpenAI, and Transformer models to build robust AI systems.
Qualifications:
2+ years of relevant development experience and demonstrated knowledge of machine learning technology (RecSys/NLP/CV).
4+ years of relevant with data structures, algorithms, and software engineering best practices.
Hand on experience in utilizing Generative AI technology in marketing texts, images and videos, familiar with LLMs and model finetuning (instruct tuning, SFT, RLHF, etc.)
Strong proficiency in programming languages such as Python, C/C++, or Java.
Passion for new technologies and proven capability in analysis and problem-solving.
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field. PhD is a plus.
Requirements:
4 + years of experience designing and/or building distributed systems at scale.
3 + years of experience with the full ML development lifecycle using open-source AI/ML frameworks and
public cloud
Experience in AI frameworks such as LangChain, AutoGPT, AutoGen, MetaGPT, etc.
Prompt Engineering, RAG, Fine-Tuning
Experience of working in Agile environment
Strong problem-solving skills with the ability to work cross-functionally in a diverse team environment.
Capability to lead projects or mentor junior developers.
Required skills:
AI Generative AI Machine Learning
Assignment Duration: 20240930 - 20250131
Languages:
English(Proficient)
Application Deadline: Apply immediately or before 28 Sep 2024.
País del trabajo: Suecia.
Región: Västra Götalands län.
Ver 241 ofertas de trabajo en "Västra Götalands län" (Suecia).
Número de puestos: 1.
Empleador: Meet a Group international AB.
Instrucciones para solicitar:
Oferta de trabajo obtenida del portal Eures, con fecha 08 de Octubre de 2024, y con identificador de la vacante:29161076.
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