Machine Learning Engineer

About deepsense.ai

We help companies gain a competitive edge by delivering customized AI solutions. Our mission is to empower our clients to unlock the full potential of AI. We are specialized in key technologies such as LLM & RAG, MLOps, Edge Solutions, Computer Vision, and Natural Language Processing. Our team of 120 world-class AI experts has worked on 200+ commercial and R&D projects with companies such as Unstructured, Google, Brainly, DocPlanner, B-Yond, Zebra Technologies, Hexagon, and many more.

What makes this role stand out:

• You work at the intersection of cutting-edge AI research and real-world delivery, helping clients turn GenAI capabilities into production-ready products and business value.

• You’re closest to the models and AI itself, building ML/LLM pipelines, integrating, evaluating, and optimizing models and agents.

• 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.

Why it’s worth it:

• You’ll dive into the hottest areas of AI: LLMs, agentic frameworks, MCP-based integrations, RAG, inference optimization, and fine-tuning.

• An opportunity to work with one of the few AI consultancies in Europe with hands-on delivery experience around the Model Context Protocol (MCP), collaborating with leading AI ecosystem partners including OpenAI and Anthropic.

• Projects aren’t just PoCs, the models and agents 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 AI solutions.

A few project examples:

• Training multimodal LLMs with molecular embeddings as a chemical modality. 

• Building AI voicebots that double conversion rates.

• Applied Research and performance optimization projects like multi-hydrophone underwater sound recognition system. 

• Building AI systems and training pipelines in areas like Drug Discovery, AI Security, and intelligent agentic platforms.

All of this in a setup that feels like an AI-driven software house: remote-first, flexible, and packed with specialists who are open to sharing knowledge and experimenting with the newest tech.

The ideal candidate:

• Has 4+ years of experience in ML engineering and working with models in production environments.

• Has strong software engineering fundamentals for designing and building clean architectures and cloud-native solutions in the Python ecosystem.

• Brings hands-on expertise with Large Language Models (LLMs) and Generative AI, including RAG systems, agentic workflows, model integration, and inference optimization (latency, cost, scalability).

• Has experience designing and implementing AI agents and orchestrating multi-step LLM systems using frameworks and tools such as LangChain, LlamaIndex, DSPy, and MCP-compatible ecosystems.

• Can design and implement end-to-end ML/LLM pipelines, from data preparation and fine-tuning to production-grade APIs and agent-based applications.

• Has solid foundations in machine learning frameworks and deep learning libraries (PyTorch, scikit-learn, TensorFlow, Hugging Face).

• Has experience with at least one of the public cloud platforms (AWS, GCP, Azure) and their AI/ML services.

• Knows how to deploy and monitor models and AI systems (MLOps: CI/CD for models, logging, observability, quality monitoring).

• Communicates clearly and can collaborate effectively with both technical and business/client teams.

Nice to have a few of the following:

• Understands evaluation and observability for GenAI systems and has worked with tools such as LangSmith, Ragas, Phoenix, or Braintrust.

• Has worked with vector databases and retrieval systems (e.g. Pinecone, FAISS, Weaviate, Qdrant).

• Strong research interest: ability to deeply analyze scientific papers and combine insights from them with original ideas.

• Experience in prompt engineering and building simple AI user interfaces (Streamlit, Gradio).

• Fluency in using one of the mainstream AI coding assistants (Claude Code, Codex, Cursor or Windsurf) while considering their limitations, risks and applying best practices in a daily use.

We offer

Impactful AI projects

• Tackle industry-grade challenges: from LLMs for drug discovery to GenAI on edge devices, AI voicebots, and open-source initiatives with global reach.

• Collaborate directly with our partners for early access to tools before public release, testing in production, and bringing know-how from AI leaders into our projects.

• Contribute to open-source initiatives like ragbits (1.6k+ stars on GitHub), adopted and appreciated by the ML community.

Growth & Knowledge Sharing

• Join AI specialists who share expertise through Tech Talks, workshops, and internal trainings.

• Present your work at conferences, run experiments, and stay ahead of the curve.

• Choose your own career path and get support for your development.

Flexibility & Culture

• Work fully remote, from one of our two offices (Warsaw, Bydgoszcz), or from coworking spaces in Poznań, Łódź, Wrocław, and Gdańsk.

• Enjoy flexible working hours.

• Benefit from a culture that prevents burnout and supports balance in daily work.

• Start with onboarding – from day one you are matched with a buddy.

• Get high-end equipment (laptops, dual monitors, pro peripherals).

• Access a premium AI development suite: OpenAI ChatGPT, Claude, Gemini Advanced, GitHub Copilot, Cursor AI IDE, Claude Code, NotebookLM, plus the latest emerging AI tools to support your daily work.

• Work in agile teams with fast decision-making and space to try out your ideas.

Basic Benefits

• Get private medical care and a Multisport card.

• Use our company library, attend onsite English lessons, and benefit from a dedicated training budget.

• Join free team lunches and enjoy fresh fruit & snacks.

• Take part in team-building activities and holiday celebrations.

If you are a highly motivated, technically skilled professional with a passion for AI, a strong background in programming, and a desire to work on real-world problems, we want to hear from you! Apply now to join our growing team at deepsense.ai.