Senior Machine Learning Engineer

Deepsense; Polska; Hybrid; PLN 260,000 - 400,000; Full time

Job summary

deepsense.ai is hiring a Senior Machine Learning Engineer to work on cutting-edge GenAI and LLM projects from a remote Poland location. You will build and optimize ML/LLM pipelines, integrate models into production, and work with LangChain, RAG, and various ML frameworks.

This B2B role offers flexible, remote work and collaboration with AI experts. The ideal candidate has 5+ years in ML engineering, hands-on experience with LLMs, and strong Python fluency.

Qualifications

• 5+ years of experience in ML engineering and production model work.
• Hands-on expertise with Large Language Models (LLMs) and Generative AI, including integration and inference optimization.
• Familiarity with tools for building and orchestrating LLM pipelines (LangChain, LlamaIndex, RAG, agent frameworks).
• Ability to design end-to-end ML/LLM pipelines from data prep to production-grade APIs.
• Experience with cloud platforms (AWS, GCP, Azure) and AI services (SageMaker, Vertex AI, Azure ML).
• Working knowledge of vector databases (Pinecone, FAISS, Weaviate) and ML frameworks (PyTorch, TensorFlow, HuggingFace).
• Fluent Python and experience deploying and monitoring models (MLOps CI/CD, logging, observability).
• Strong communication and collaboration with data scientists and product teams.

Responsibilities

• Build ML/LLM pipelines and integrate models into production systems.
• Optimize latency and cost considerations for GenAI workloads.
• Collaborate across data science, software, and MLOps teams to deliver end-to-end solutions.
• Experiment with prompt engineering and model tuning to maximize performance.
• Contribute to open-source projects and leverage industry best practices.

Skills

LLMs

GenAI

NLP

Deep Learning

Python

MLOps

LangChain

LlamaIndex

RAG

AWS

GCP

Azure

Pinecone

FAISS

Weaviate

PyTorch

TensorFlow

HuggingFace

Tools

LangChain

LlamaIndex

RAG

Pinecone

FAISS

Weaviate

PyTorch

TensorFlow

HuggingFace

Job description

Employment type:

B2B

Operating mode:

Remote

Location:

Poland

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

• We’re anOpenAI Advanced Partner and anAnthropic Service Partner, with adirect line toboth labs’ solution engineers. Wealso build production work onElevenLabs, soyou’re getting early, hands-on access tonew models and features before they hit the mainstream.
• Explore and apply the newest tech: LLMs & RAG, MLOps, Edge Solutions, Computer Vision, Predictive Analytics.
• Tackle challenges insoftware & tech, pharma & healthcare, manufacturing, retail, telecoms & media.
• Contribute toopen-source projects – just take alook atour latest solution, ragbits, anagentic RAG framework with over 1.6k stars onGitHub.

And the best part ofworking atdeepsense.ai?

• Spread your wings with clear career paths, technical orleadership.
• Collaborate with 100+ AI experts with 15+ years ofapplied AI experience, aswell asPhD-level researchers with academic backgrounds.
• Tap into domain expertise and knowledge sharing whenever you need it.

Your Role asSenior Machine Learning Engineer

What makes this role stand out:

• You’re closest tothe models and AI itself, building ML/LLM pipelines, integrating, and optimizing models.
• You have abackground indeep learning, NLP, orCV, 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 toadapt them for production.

Why it’s worth it:

• You’ll dive into the hottest areas ofAI: LLMs, agentic frameworks, RAG, inference optimization, and fine-tuning.
• Projects aren’t just PoCs, the models you build gointo production and reach real users.
• You won’t beboxed into “just ML” you’ll collaborate with Data Scientists, Software Engineers, and MLOps todeliver end-to-end solutions.
• Creating a GenAI solution for aleading USlegal company together with the OpenAI team.

All ofthis inasetup that feels like anAI-driven software house: remote-first, flexible, and packed with specialists who are open tosharing knowledge and experimenting with the newest tech.

The ideal candidate:

• 5+ years ofexperience inML engineering and working with models inproduction environments.
• Brings hands-on expertise with Large Language Models (LLMs) and Generative AI, including integration and inference optimization (latency, cost, scalability).
• Isfamiliar 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 toproduction-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).
• Isfluent inPython and experienced with ML frameworks (PyTorch, TensorFlow, Hugging Face).
• Knows how todeploy 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.
• Areal-impact, end-to-end ownership mindset — you want tosolve real problems for real users, not chase hype orleave aPoC that never ships toproduction.
• Based inPoland, with avalid work permit allowing youtowork here.
• Bonus: experience inprompt engineering and building simple AI user interfaces (Streamlit, Gradio).

WeOffer

Impactful AI projects

• Tackle industry-grade challenges: from LLMs for drug discovery toGenAI onedge devices, AI voicebots, and open-source initiatives with global reach.
• Collaborate directly with our partners for early access totools before public release, testing inproduction, and bringing know-how from AI leaders into our projects.
• Contribute toopen-source initiatives like ragbits (1.6k+ stars onGitHub), adopted and appreciated bythe ML community.

Growth & Knowledge Sharing

• Join AI specialists who share expertise through Tech Talks, workshops, and internal trainings.
• Present your work atconferences, run experiments, and stay ahead ofthe curve.
• Choose your own career path and get support for your development.

Flexibility & Culture

• Work fully remote, from one ofour two offices (Warsaw, Bydgoszcz), orfrom coworking spaces inPoznań, Łódź, Wrocław, and Gdańsk.
• Enjoy flexible working hours.
• Benefit from aculture that prevents burnout and supports balance indaily work.
• Start with onboarding – from day one you are matched with abuddy.
• Access apremium AI development suite: OpenAI ChatGPT, Claude, Gemini Advanced, GitHub Copilot, Cursor AI IDE, Claude Code, NotebookLM, plus the latest emerging AI tools tosupport your daily work.
• Work inagile teams with fast decision-making and space totry out your ideas.

Basic Benefits

• Get private medical care and aMultisport card.
• Use our company library, attend onsite English lessons, and benefit from adedicated training budget.
• Join free team lunches and enjoy fresh fruit & snacks.
• Take part inteam-building activities and holiday celebrations.