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At the forefront of AI innovation, we are dedicated to creating cutting-edge solutions that drive modernization and efficiency across industries. Our team is passionate about leveraging advanced technologies to solve complex real-world problems.
We are seeking a highly skilled professional to evaluate ML/DL/LLM models, detect and handle model decay & data drift, and deploy models to production while managing and monitoring them.
The ideal candidate will have:
- 4+ years of experience in Machine Learning/Deep Learning/Generative AI in enterprise companies or startups;
- 1+ year of experience with TensorFlow, PyTorch, or Keras;
- 1+ year of experience in deploying models to production and managing/monitoring them;
- 1+ year of experience with cloud platforms (AWS/GCP/Azure);
- 1+ year of experience in MLOps;
- 1+ year of client-facing experience in AI projects;
- 6+ months of experience with Large Language Models (LLMs) and Generative AI.
The successful candidate will have a strong focus on at least one of the following AI specialities: MLOps, Classic ML (tabular, regression), Classic DL (Computer Vision, NLP, tabular, regression), Generative AI, Deep Reinforcement Learning (DRL), or Full-stack ML.
They will also be familiar with Prompt Engineering: Approaches and best practices, and have experience with tools and techniques such as PySpark, Agent development, Fine-tuning LLMs, Retrieval-Augmented Generation (RAG) optimization, Vector Databases, LLM Architecture & techniques for performance, Model quantization, and Data privacy and security.
