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Senior Data Scientist - Generative AI & ML (d/m/f)
OSRAM, Lda, Carnaxide, Portugal —Carnaxide
Experience with Microsoft Copilot Studio or Microsoft 365 integrations beneficial. Work closely with business stakeholders, domain experts, architects, and…
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Senior Data Scientist - Generative AI & ML (d/m/f)

OSRAM, Lda, Carnaxide, Portugal
Carnaxide

Candidatura rápida

Detalhes da oferta

Período Integral
Há 1 dia

Qualificações

Graduação

Descrição completa da oferta

Sense the power of light

The ams OSRAM Group is a global leader in innovative light and sensor solutions. With more than 110 years of industry experience, we combine engineering excellence and global manufacturing with a passion for cutting-edge innovation enabling transformative advancements in the automotive, industrial, medical, and consumer industries. “Sense the power of light” – our success is based on the deep understanding of the potential of light and distinct portfolio of emitter and sensor technologies. Around 19,700 employees worldwide drive innovations alongside societal megatrends. Find out more about us on https://ams-osram.com

Your new responsibilities

Build Generative AI Solutions:
Develop, train and evaluate machine learning models and translate analytical insights into robust, reproducible ML workflows, collaborating closely with engineering teams to bring both classical ML and Generative AI models into production
Design and implement Generative AI and LLM based solutions, including model selection, prompt design, structured evaluation, and responsible operation aligned to business needs
Ensure production readiness and model quality by applying best practices in MLOps, deployment strategies, monitoring, model lifecycle management, as well as performance measurement, hallucination reduction and safety guardrails
Build and refine AI agents capable of reasoning, taking actions, interacting with data sources, and orchestrating workflows
Improve model performance through structured evaluation, quality measurement, hallucination reduction, and safety guardrails
Apply best practices in identity, access control, data protection, and enterprise security policies

Collaboration & Documentation:
Translate complex AI concepts into clear, actionable content for technical and non technical audiences
Work closely with business stakeholders, domain experts, architects, and software engineers to integrate AI into real processes

Training & Support
Create best practices, enablement materials, and usage guidelines for Generative AI
Serve as a trusted advisor for internal teams adopting AI Technologies

Who we are looking for

Bachelor’s degree in Information Technology, Data Management, Business Intelligence, or a related field
Experience in Data Science with a strong foundation in classical data science and machine learning as well as motivation to work on production ready AI systems and openness to applying Generative AI technologies as part of their work
Strong background in classical data science and machine learning, including exploratory data analysis, feature engineering, statistical modeling, and quantitative model Evaluation
Hands-on experience in developing, training and evaluating ML models such as time series analysis and forecasting, anomaly detection, image or signal classification, or similar applied ML Problems
Hands-on experience building AI agents using LLMs. Experience with Microsoft Copilot Studio or Microsoft 365 integrations beneficial
Proficiency in Python and ability to write clean, maintainable, well-structured code
Knowledge of cloud platforms, preferably Azure (compute, security, networking, identity, and AI related services)
Strong communication skills and ability to work with stakeholders
Innovation driven and proactive in exploring new ideas and approaches
Familiarity with production environments and best practices in MLOps, such as deployment strategies, monitoring, model lifecycle management, reproducibility and quality assurance

Please contact Daria Berezova for further information via [email protected] or +49 (941) 8501571.

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