Senior Data Scientist - Generative AI & ML

ams OSRAM

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

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

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

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