Senior Machine Learning Engineer (LLMs)
deepsense.ai Sp. z o.o.
Job at a glance
At deepsense.ai, you won’t just build AI solutions – you’ll shape how companies around the world use them. By joining us, you’ll: Work with partners like OpenAI, NVIDIA, Anyscale, LangChain, Crusoe, and ElevenLabs. Explore and apply the newest tech: LLMs & RAG, MLOps, Edge Solutions, Computer Vision, Predictive Analytics. Tackle challenges in software & tech, pharma & healthcare, manufacturing, retail, telecoms & media.
Contribute to open-source projects – just take a look at our latest solution, ragbits , an agentic RAG framework with over 1.6k stars on GitHub. And the best part of working at deepsense.ai? Spread your wings with clear career paths, technical or leadership. Collaborate with 100+ AI experts with 15+ years of applied AI experience, as well as PhD-level researchers with academic backgrounds. Tap into domain expertise and knowledge sharing whenever you need it.
The ideal candidate: Has 6 + years of experience in ML engineering and working with models in production environments . Brings hands-on expertise with Large Language Models (LLMs) and Generative AI , including integration and inference optimization (latency, cost, scalability). Is familiar with frameworks and tools for building and orchestrating LLM pipelines (LangChain, LlamaIndex, RAG, agent frameworks).
Can design and implement end-to-end ML/LLM pipelines , from data preparation and training/fine-tuning to production-grade APIs. Has experience with cloud platforms (AWS, GCP, Azure) and their AI/ML services (e.g., SageMaker, Vertex AI, Azure ML). Has worked with SQL, NoSQL , and vector databases (Pinecone, FAISS, Weaviate). Is fluent in Python and experienced with ML frameworks (PyTorch, TensorFlow, Hugging Face).
Knows how to deploy and monitor models (MLOps: CI/CD for models, logging, observability, quality monitoring). Communicates clearly and can collaborate effectively with both Data Scientists and product/client teams. Bonus : experience in prompt engineering and building simple AI user interfaces (Streamlit, Gradio).