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Senior Data Scientist with NLP

Stermedia
Contract type
Freelance
Work mode
Remote
Experience
Senior · Not stated

Level inferred from job title

Job description

Design and deliver end-to-end agentic AI and Generative AI solutions for local and international clients and academic research, covering client contact, business analysis, solution design, implementation and production deployment.

At a glance

Employment
Independent contractor
Work mode
Remote
Languages
English – C1
Pay
PLN 20,000 – 30,000 / month

What you'll do

  • 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
  • Work directly with the client and perform business analysis of the problem as part of end-to-end delivery

What we're looking for

  • 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

Nice to have

  • Experience with multi-agent collaboration frameworks
  • Experience with evaluation tools (e.g., prompt testing, hallucination detection, guardrails)
  • Familiarity with MLOps practices
  • Knowledge of distributed systems design
  • Experience with real-time AI applications
  • Background in machine learning fundamentals
  • Communicative English – minimum C1 level
  • Experience with DevOps / MLOps tools and practices (e.g. Docker, Kubernetes, MLFlow, KubeFlow, DVC)
  • Familiarity with a deep learning framework (Tensorflow, PyTorch)
  • Experience in using additional data science related libraries (e.g. nltk, opencv, scikit-image, gensim, plotly, seaborn, xgboost, lightgbm)
  • Strong general software development skills and knowledge of best practices
  • Algorithmic and code optimization skills
  • Knowledge of a cloud platform and experience in running cloud-based projects (GCP, AWS, Azure)

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