Senior Machine Learning Engineer

Poland

(

remote

)

for this position

Position overview

Must have:

Cloud, Docker, GenAI, Kubernetes, LLMs, Machine Learning, Python, SQL, Vector Database

Employment type:

B2B

Operating mode:

Remote

Location:

Poland

About deepsense.ai

At deepsense.ai, we won’t just build AI solutions – we’ll shape how companies around the world use them.

By joining us, you’ll:

• We’re an OpenAI Advanced Partner and an Anthropic Service Partner, with a direct line to both labs’ solution engineers. We also build production work on ElevenLabs, so you’re getting early, hands-on access to new models and features before they hit the mainstream. Explore and- 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.

Your Role as Senior Machine Learning Engineer

What makes this role stand out:

• 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.

Why it’s worth it:

• 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.

A few project examples:

• Training multimodal LLMs for drug discovery.
• Building AI voicebots that double conversion rates.
• Creating a GenAI solution for a leading US legal company together with the OpenAI team.
• Running GenAI on edge devices with cloud-level performance.

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:

• 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.
• A real-impact, end-to-end ownership mindset — you want to solve real problems for real users, not chase hype or leave a PoC that never ships to production.
• Based in Poland, with a valid work permit allowing you to work here.
• Bonus: experience in prompt engineering and building simple AI user interfaces (Streamlit, Gradio).

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.