Senior Machine Learning Engineer
F
FactoredArtificial Intelligence
Latin AmericaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years of hands-on experience developing and deploying machine learning models in production environments.
- Required Skills
- AWSPythonGCPMachine LearningPyTorchTensorflowNLPLangChain
Requirements
- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
- 5+ years of hands-on experience developing and deploying ML models in production.
- 4+ years of experience with production NLP and deep learning models (PyTorch, TensorFlow).
- 1+ year of experience with Retrieval-Augmented Generation (RAG) models.
- Strong proficiency in Python.
- Expertise in working with LLMs (GPT, Gemini, Claude).
- Proficiency in LLM frameworks like LangChain.
- Understanding of prompting techniques and fine-tuning trade-offs.
- Experience with cloud platforms (AWS or GCP).
Responsibilities
- Design, develop, and optimize Retrieval-Augmented Generation (RAG) models.
- Improve the performance of RAG models through cutting-edge algorithms and fine-tuning.
- Collaborate with client Data and Engineering teams to build robust ML infrastructure.
- Work with leadership teams to identify AI/ML opportunities.
- Fine-tune and adapt large language models (LLMs).
- Partner with cross-functional teams to deploy RAG models into production.
- Develop AI solutions using advanced ML techniques.
- Write clean, maintainable, and scalable production-level code.
- Design frameworks for GenAI products such as chatbots and search tools.
- Provide technical leadership in evaluating AI/ML solutions.
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