Senior Machine Learning Engineer (LLMs) @ deepsense.ai Sp. z o.o.
Core
Design and implement end-to-end ML/LLM pipelines, from data preparation and training/fine-tuning to production-grade APIs, integrating and optimizing Large Language Models for latency, cost, and scalability.
Role type
Senior Machine Learning Engineer (LLMs)
Builds
Production-grade AI solutions for partners including OpenAI, NVIDIA, and Anyscale across software, pharma, healthcare, manufacturing, retail, telecoms, and media.
Domain
Generative AI, Large Language Models (LLMs), RAG, MLOps, Cloud AI/ML services
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, Hugging Face, SQL, NoSQL, vector databases (Pinecone, FAISS, Weaviate), cloud platforms (AWS, GCP, Azure), MLOps (CI/CD, logging, observability), LangChain, LlamaIndex, RAG, agent frameworks, fine-tuning, quantization, LoRA, prompt engineering, Docker, Kubernetes
Preferred skills
Streamlit, Gradio, Computer Vision, Predictive Analytics, open-source contributions
Technologies
LangChain, LlamaIndex, RAG, SageMaker, Vertex AI, Azure ML, Pinecone, FAISS, Weaviate, Streamlit, Gradio, ragbits
Responsibilities
Integrate and optimize LLMs for inference latency and cost; design end-to-end ML/LLM pipelines; deploy and monitor models using MLOps practices; collaborate with Data Scientists and product teams to deliver end-to-end solutions.
Seniority
Senior, hands-on IC