
Machine Learning Specialist – Next Generation Artificial Intelligence
8 hours ago
Role Overview
GenAI EngineerThe GenAI Engineer will be responsible for designing, developing, and deploying cutting-edge machine learning models with a focus on Generative AI.
Key Responsibilities:- Design scalable ML solutions using LLMs and RAG architecture.
- Implement and optimize prompt engineering, embeddings, vector databases, and retrieval mechanisms.
- Develop APIs and services to integrate AI solutions into production systems.
- Collaborate with data engineers, product managers, and other stakeholders to define technical requirements.
- Continuously evaluate and improve model performance and accuracy.
- Stay updated with the latest research and developments in GenAI, NLP, and ML.
Requirements and 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 RAG frameworks.
- Hands-on experience with vector databases (e.g., FAISS, Pinecone, Weaviate).
- Solid understanding of NLP, embeddings, tokenization, and attention mechanisms.
- Familiarity with APIs, RESTful services, and cloud deployment (AWS/GCP/Azure).
Desirable Skills
- Strong problem-solving and analytical thinking.
- Excellent verbal and written communication skills.
- Adaptability and willingness to learn emerging technologies.
- Collaboration and teamwork in cross-functional environments.
- Time to deploy new ML/GenAI features
- Accuracy and performance of deployed models
- User engagement and satisfaction with AI features
- Uptime and reliability of AI services
- Contribution to AI/ML research or innovation within the team
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