
Advanced Machine Learning Engineer
2 days ago
This role involves designing and developing machine learning models that utilize generative AI to drive business growth.
- Design, develop, and deploy scalable ML solutions using large language models and retrieval pipelines to solve complex problems.
- Implement and optimize prompt engineering, embeddings, vector databases, and retrieval mechanisms to improve model performance.
- Develop APIs and services to integrate AI solutions into production systems.
- Collaborate with data engineers, product managers, and other stakeholders to define technical requirements.
- Evaluate and improve model accuracy and performance.
- Stay updated on the latest research and developments in GenAI.
Required Skills & Qualifications:
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
- Strong programming skills in Python, including use of libraries like TensorFlow, PyTorch, Hugging Face Transformers, LangChain, etc.
- Experience with LLMs (GPT, LLaMA, Claude, etc.) and retrieval architectures.
- Hands-on experience with vector databases (e.g., FAISS, Pinecone, Weaviate).
- Solid understanding of NLP, embeddings, tokenization, and attention mechanisms.
Preferred Qualifications:
- Ph.D. in a relevant field.
- Experience deploying LLMs in production environments.
- Contributions to open-source GenAI projects or research publications.
About the Role:
- The ideal candidate will have a strong background in machine learning and AI, as well as excellent communication and problem-solving skills.
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