Senior Machine Learning Engineer (LLMs)
deepsense.ai
Senior ML Engineer focused on building and deploying LLM-based solutions into production. You'll work on RAG, agentic frameworks, fine-tuning, inference optimization, and collaborate across teams. Projects are client-facing and go beyond PoCs.
Brakuje: recruitment process (number of stages, timeline), information about on-call duties.
Senior ML Engineer focused on building and deploying LLM-based solutions into production. You'll work on RAG, agentic frameworks, fine-tuning, inference optimization, and collaborate across teams. Projects are client-facing and go beyond PoCs.
- ✓Partnerships with top AI companies (OpenAI, NVIDIA, Anyscale, etc.)
- ✓Active contribution to popular open-source project (ragbits)
- ✓Clear career path with technical or leadership tracks
- ✓Access to PhD-level researchers and domain experts
- !No information about team structure or on-call expectations
- !Broad technology stack may be overwhelming
- !Client projects may vary in domain and complexity
- •Building and optimizing ML/LLM pipelines using LangChain, LlamaIndex, or similar frameworks
- •Fine-tuning and quantizing LLMs using techniques like LoRA and prompting
- •Designing and implementing APIs for production-grade model serving
- •Collaborating with Data Scientists and Software Engineers to integrate models into applications
- •Monitoring and maintaining deployed models (MLOps: CI/CD, logging, observability)
- •Contributing to open-source projects like ragbits
- •Exploring and adapting new AI technologies (e.g., agentic frameworks, inference optimization)
- •Working with vector databases (Pinecone, FAISS, Weaviate) for RAG systems
Oferta dla doświadczonych specjalistów (Senior).
ML Engineer with at least 4 years of experience, including production LLM work, Python proficiency, basic cloud (Azure) and MLOps knowledge, and willingness to quickly learn advanced frameworks.
Juniors or mid-level engineers with less than 4 years of ML experience, or those without production experience with LLMs/GenAI.
- ?How many team members are you working with in ML/LLM projects?
- ?Are there on-call duties for production models? If so, frequency?
- ?Will I work on a single client project at a time or multiple concurrently?
- ?What is the typical project duration?
- ?How is performance evaluated and career progression defined?
- ?Is the remote work fully remote or are there occasional in-person meetings?
- −Recruitment process (number of stages, timeline)
- −Information about on-call duties
- −Whether working on one or multiple projects simultaneously
- −Detailed client collaboration model
Collaborative and innovative team with strong emphasis on knowledge sharing and cutting-edge AI research; opportunity to contribute to open-source projects.
Na poziomie rynkowym
≈ 131,0–178,6 zł/h
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