We are looking for an AI/ML Engineer to work on LLM fine-tuning, intelligent data pipelines, model optimization, and production-grade deployments. You will help build high-performance AI systems, experiment with new models, and contribute to advanced ML/LLM initiatives.
What you'll do
- Perform LLM fine-tuning (LoRA, SFT), embeddings training, and model evaluation.
- Optimize inference latency, throughput, and memory usage for deployed models.
- Build and maintain ETL pipelines for model training and data preparation.
- Integrate vector databases and design RAG pipelines for production use cases.
- Deploy models using FastAPI and maintain production endpoints.
- Work on voice model integrations (STT, TTS, RVC, etc.) as needed.
- Build ML experiments, maintain versioning, logging, and reproducibility.
- Collaborate closely with product and engineering teams to define ML features.
- Communicate clearly about model limitations, performance, and expected outcomes.
What we're looking for
- 2-4 years of industry experience in AI/ML, NLP, or applied ML engineering.
- Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow).
- Hands-on experience with LLM fine-tuning techniques (LoRA, PEFT, QLoRA, etc.).
- Understanding of embeddings, transformers, and inference optimization.
- Experience building ETL pipelines and working with structured/unstructured data.
- Familiarity with vector DBs (Pinecone, Weaviate, Milvus, Chroma).
- Experience with FastAPI and production deployments.
- Strong analytical skills, experimentation mindset, and curiosity.
- Good communication skills for cross-team collaboration.
Competitive up to 400k
- Performance bonuses paid bi-annually
- Generous paid time off, planned and casual
- Annual learning budget for courses, certifications, and conferences
- Hardware & tools stipend on day one
- Home internet stipend, monthly
- Health & wellness coverage
- Hybrid & remote flexibility where the work allows
- Quarterly team events and an annual retreat
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