
Data Driven Innovator
5 days ago
Job Description
We're seeking an experienced Data Scientist / AI Engineer to join our team. As a key member, you'll be responsible for designing, developing, and deploying AI-driven solutions that drive innovation and business impact.
Responsibilities:- Develop and Optimize Machine Learning Models: Design and optimize machine learning models for predictive analytics, NLP, computer vision, or recommendation systems.
- Implement Retrieval-Augmented Generation (RAG) and Vector Search: Utilize RAG and vector search models for efficient information retrieval and generation of accurate results.
- Fine-Tune Large Language Models (LLMs): Leverage LoRA, QLoRA, Hugging Face, OpenAI, and LangChain to fine-tune LLMs for improved performance.
- Build and Deploy AI-Powered Applications: Develop applications using FastAPI, Flask, TensorFlow, PyTorch, and OpenAI APIs for real-time processing and scalability.
- Develop Data Pipelines and Feature Engineering: Design data pipelines and feature engineering workflows for production use, ensuring efficiency and accuracy.
- Ensure Scalability and Reliability: Implement MLOps best practices using Docker, MLflow, and CI/CD pipelines for seamless model deployment.
- Optimize AI Models: Focus on performance, cost-efficiency, and real-time processing to meet business requirements.
- Collaborate with Cross-Functional Teams: Integrate AI solutions into business applications, ensuring alignment with company goals.
- Monitor AI Models in Production: Analyze performance metrics and implement improvements to maintain optimal model performance.
- Stay Updated with the Latest Advancements: Stay current with the latest advancements in AI, deep learning, and NLP to enhance skills and knowledge.
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