Machine Learning Engineer
Location TBDFull-timePosted 5mo agoStill listed 2 days ago
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Job overview
Engramme is hiring a Machine Learning Engineer. The Machine Learning Engineer at Engramme will design and implement ML models for memory retrieval and ranking, build infrastructure and pipelines, and deploy and monitor models at scale while optimizing performance for real-time systems.
Key focus areas include Design and implement ML models for memory retrieval and ranking, Build ML infrastructure and training pipelines, and Deploy and monitor models in production at scale.
Important skills include Machine Learning, Embedding, Cloud Platform System, Software Engineering, Data Processing, and Recommender Systems.
Skills & qualifications
Skills
Qualifications
Full job description
What You'll Do
- Design and implement ML models for memory retrieval and ranking
- Build ML infrastructure and training pipelines
- Deploy and monitor models in production at scale
- Optimize model performance and latency for real-time systems
- Work with vector databases and embedding systems
- Implement MLOps best practices and monitoring
- Collaborate with research team to productionize new algorithms What We're Looking For
- 4+ years of ML engineering experience
- Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow)
- Experience deploying ML models to production
- Knowledge of MLOps, model serving, and monitoring
- Understanding of NLP, embeddings, and retrieval systems
- Experience with cloud platforms (AWS, GCP) and containers
- Strong software engineering fundamentals
- Experience with large-scale data processing Nice to Have
- Experience with large language models and prompt engineering
- Knowledge of vector databases (Pinecone, Weaviate, Milvus)
- Experience with recommendation systems or search
- Background in information retrieval or ranking systems
- Knowledge of model optimization and quantization
- Experience with real-time ML systems
- Familiarity with transformer architectures
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