
Senior AI Engineer
7 days ago
Job Title: Senior AI Engineer
We are seeking a highly skilled professional to design, develop, and deploy AI-driven solutions that drive innovation and business impact. The ideal candidate will have expertise in machine learning, deep learning, and AI-powered applications.
Key Responsibilities:
- Develop and optimize machine learning models for predictive analytics, NLP, computer vision, or recommendation systems.
- Implement Retrieval-Augmented Generation (RAG), vector search, and generative AI models.
- Fine-tune large language models (LLMs) using LoRA, QLoRA, Hugging Face, OpenAI, and LangChain.
- Build and deploy AI-powered applications using FastAPI, Flask, TensorFlow, PyTorch, and OpenAI APIs.
- Ensure scalability and reliability of ML models with MLOps best practices, leveraging Docker, MLflow, and CI/CD pipelines.
- Optimize AI models for performance, cost-efficiency, and real-time processing.
- Work with cross-functional teams to integrate AI solutions into business applications.
- Monitor AI models in production, analyze performance metrics, and implement improvements.
About the Role:
The ideal candidate will have a strong foundation in data science methodologies, model deployment, and MLOps. Strong knowledge of NLP, LLMs, generative AI, RAG, FAISS, and vector databases is required.
Requirements:
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or related fields.
- 3+ years of experience in machine learning, deep learning, and AI model development.
- Expertise in Python, R, SQL, and frameworks like TensorFlow, PyTorch, Keras.
- Strong problem-solving skills, ability to work in agile environments, and a passion for AI-driven solutions.
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