
Machine Learning Engineer
1 week ago
Job Overview:
As a Machine Learning Engineer, you will be responsible for designing and developing scalable artificial intelligence solutions using large language models and Retrieval-Augmented Generation (RAG) architecture.
Key Responsibilities:
- Design, develop, and deploy AI solutions to solve complex business problems and enhance product capabilities.
- Implement and optimize prompt engineering, embeddings, vector databases, and retrieval mechanisms to improve model performance and accuracy.
- Develop APIs and services to integrate AI solutions into production systems, ensuring seamless collaboration with data engineers, product managers, and other stakeholders.
- Contribute to technical documentation, code reviews, and best practices, ensuring all AI solutions comply with ethical and data privacy standards.
Requirements:
- 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.
- Hands-on experience with LLMs (GPT, LLaMA, Claude, etc.) and RAG frameworks, as well as vector databases (e.g., FAISS, Pinecone, Weaviate).
- Solid understanding of NLP, embeddings, tokenization, and attention mechanisms, along with familiarity with APIs, RESTful services, and cloud deployment (AWS/GCP/Azure).
- Strong foundation in data structures, algorithms, and ML workflows, with a strong problem-solving and analytical thinking approach.
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