Machine Learning Engineer
⚲ Warszawa, Gdańsk, Łódź, Bydgoszcz, Wrocław
16 000 - 22 000 PLN netto (B2B)
Wymagania
- LLMs
- Clouds
- GenAI
- RAGs
Opis stanowiska
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.
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.
🔍 Dekoder Ogłoszenia
🔴
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.
Oznacza to, że będziesz musiał balansować między teoretycznymi nowinkami a praktycznym wdrażaniem rozwiązań, które muszą działać w realnych warunkach biznesowych.
🔴
You’re closest to the models and AI itself, building ML/LLM pipelines, integrating, evaluating, and optimizing models and agents.
Może to sugerować, że będziesz odpowiedzialny za dużą część technicznej implementacji i utrzymania, co może być czasochłonne.
🔴
You’ll dive into the hottest areas of AI: LLMs, agentic frameworks, MCP-based integrations, RAG, inference optimization, and fine-tuning.
Choć brzmi ekscytująco, może oznaczać, że będziesz pracować z bardzo niszowymi i wciąż ewoluującymi technologiami, które wymagają ciągłego uczenia się i adaptacji.
🟡
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.
Podkreśla unikalność firmy i technologii, ale może też oznaczać pracę z nowymi, nie w pełni ugruntowanymi standardami i partnerami.