About this role

Senior Machine Learning Engineer (LLMs) deepsense.ai Sp. z o.o. Daily tasks: - You’re closest to the models and AI itself, building ML/LLM pipelines, integrating, and optimizing models. - You have a background in deep learning, NLP, or CV, and today you’re hands-on with GenAI and LLMs. - You know techniques like fine-tuning, prompting, quantization, and LoRA and you understand how models work and how to adapt them for production.

- You’ll dive into the hottest areas of AI: LLMs, agentic frameworks, RAG, inference optimization, and fine-tuning. - Projects aren’t just PoCs, the models you build go into production and reach real users. - You won’t be boxed into “just ML” you’ll collaborate with Data Scientists, Software Engineers, and MLOps to deliver end-to-end solutions. Musts: Python, Machine learning, Docker, Kubernetes, GenAI, LLM, AI, Cloud platform, Azure, Azure ML, SQL, PyTorch, TensorFlow The ideal candidate: Has 4–5+ 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).

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.

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