Senior Data Scientist, NLP

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stermedia.ai

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2009

🤖 Artificial Intelligence

🤝 B2B

🏭 Manufacturing

Artificial Intelligence • B2B • Manufacturing

Stermedia. ai is a B2B AI and software engineering firm that builds custom artificial intelligence, robotic automation, cloud-based manufacturing software and product design solutions. Since 2009 it has provided digital transformation services including deep learning and data science, robotic/process automation, custom web and mobile application development, UX/product design, and cloud architecture (AWS/IBM). The company shows domain experience across manufacturing and automotive (AndonCloud manufacturing software and industry 4. 0 case studies), healthcare (medical imaging AI), HR/recruitment (CV/job-matching), media and public sector projects, and highlights competition wins and multiple client case studies demonstrating technical expertise.

📋 Description

• Design and develop end-to-end agentic AI solutions using modern LLM frameworks • Build and deploy Generative AI applications using Python • Develop and manage AI agents, including tool integrations, memory management, and reasoning workflows • Implement agent orchestration for multi-agent systems and complex task automation • Apply advanced prompt engineering techniques to optimize model performance • Establish agent observability frameworks (monitoring, tracing, logging, evaluation, guardrails) • Deploy AI solutions using container-based architectures (Docker, Kubernetes) • Ensure scalability, reliability, and security of AI systems in production • Integrate AI agents with enterprise APIs, databases, and external systems • Continuously evaluate model performance and implement optimization strategies

🎯 Requirements

• Strong proficiency in Python programming • Hands-on experience with Generative AI / LLM frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel, etc.) • Experience building end-to-end agentic solutions • Practical experience in agent development and orchestration • Expertise in prompt engineering and LLM optimization • Experience with container-based deployments (Docker, Kubernetes) • Experience implementing agent observability (monitoring, tracing, evaluation frameworks) • Knowledge of REST APIs and backend integration patterns • Experience deploying AI applications in cloud environments (AWS / Azure / GCP) • Understanding of RAG architectures, embeddings, vector databases • Communicative English – minimum C1 level • Experience with multi-agent collaboration frameworks (preferred) • Experience with evaluation tools (e.g., prompt testing, hallucination detection, guardrails) (preferred) • Familiarity with MLOps practices (preferred) • Knowledge of distributed systems design (preferred) • Experience with real-time AI applications (preferred) • Background in machine learning fundamentals (preferred)

🏖️ Benefits

• Working with the newest machine learning technologies • Budget for self-development per year • Possibility to contribute to a variety of interesting projects • Internal workshops • Personal branding (articles, conference speaker, internal workshop leader) • Flexible work hours • Remote work possibility • Chillout room / free beverages / team & company events • Friendly atmosphere • MultiSport • LuxMed