Data Scientist (m/f/d)

Amadora, Lisboa
Permanente
Horário completo

Há 9 horas

Siemens Global Business Services (GBS) enables Siemens units worldwide and external customers to accelerate their business transformation into a sustainable and digital future.Our goal is to optimize processes and provide services driven by expertise, in areas such as business administration, human resources, supply chain management, sales, marketing, and engineering. Through innovation and digitalization, we facilitate the achievement of a successful and sustainable transformation.In our GBS Western Europe and Africa Hub we are already more than 1400 connected people, from over 57 different nationalities spread across 14 countries. and get to know more about GBS.GBS Digital Solutions offer innovative technology solutions and customer-oriented digitalization services and co-develop digital solutions to solve our customers business challenges, leveraging our modern technology layer and partner ecosystem. We consult them with our holistic, 360° digital advisory service, encompassing the data-driven discovery of digitalization potential along their business processes.Are you ready to be part of the change? Come join us!We are seeking an innovative and highly skilled Data Scientist with a strong focus on Generative AI to join our dynamic team. In this role, you will be at the forefront of designing, developing, and deploying cutting-edge Generative AI solutions, using the latest models to solve complex industrial and business challenges. You will contribute to building intelligent systems that can generate novel content, insights, and solutions across various domains within Siemens.Your mission will be…

Research & Development: Conduct research into the latest Generative AI architectures Large Language Models (LLMs) and apply them to real-world problems;
Model Design & Implementation: Design, implement, and fine-tune Generative AI models for tasks such as text generation, image synthesis, code generation, and synthetic data creation;
Data Engineering: Collaborate with other data engineers to identify, collect, preprocess, and manage datasets suitable for implementing the business Generative AI solutions;
Evaluation & Optimization: Develop robust evaluation metrics and methodologies for Generative AI models, analyze performance, and iterate on model architectures and training strategies for optimal results;
Understand requirements and integrate AI solutions;
Innovation & Thought Leadership: Stay abreast of the latest advancements in AI, machine learning, and Generative AI research, contributing to internal knowledge sharing and potentially external publications or patents;
Ethical AI: Ensure that all Generative AI solutions are developed and deployed responsibly, adhering to ethical AI principles and data privacy regulations

We are looking for someone with…

Bachelor's degree in computer science, Information Technology, or a related field;
Experience with any of the major cloud platforms (AWS, Azure, or GCP);
Advanced Python programming skills for automation and tool development;
Solid knowledge of data engineering and streaming tools;
Hands-on experience with some MLOps solutions. Examples: MLflow, Kubeflow, Airflow, CI/CD tools, etc;
GenAI - based cloud solutions like OpenAI, Bedrock, etc;
Experience with prompt engineering, LLM usage and best practices;
Understanding of storage solutions and data lifecycle management;
Ability to work in a self-organized team;
Strong orientation to the customer is key;
Experience leading technical teams and mentoring junior engineers;
Ability to translate complex technical concepts to non-technical stakeholders;
Fluent in English, speaking, reading, and writing (mandatory);
Experience with Microsoft Teams chatbots/integrations (it would be a plus).

What you can expect from us…A hybrid and flexible working model to promote a better work-life balance, along with a budget for home office support and the opportunity to do 16 hours a year of volunteer work. A health insurance, access to our on-site medical center, plus the chance to join sports groups.In addition, you'll have access to online learning platforms and discounts with our partners. A shuttle bus to commute to the facilities and the possibility of financial support to your studies.What makes us proud as an employer:· Merco - Companies and Leaders with the Best Reputation in Portugal (#1 Tecnology/Manufacturing)· Forbes - World's Best Employers (#1 Engineering & Manufacturing)· LinkedIn - LinkedIn Top Companies (#2)· OnStrategy - REPSCORE 2024: Brands' Reputation in Portugal (#1 Engineering & Electronic Services)· Fortune - World's Most Admired Companies (#1 Industrial Machinery)· SSON - Top 20 most admired Shared Services Organizations and Global Business Services in 2024Please attach your CV in English.#Siemens #PeopleAtSiemens #GBSpartnerofchoiceSiemens is committed to creating a diverse environment and is glad to be an equal opportunity employer. We strongly encourage applications from a diverse talent pool!

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